Unwinding a loop: why can't .NET add 1 + 2 + 3 ... ?

[Mountain Bikn' Guy]

Take some standard code such as shown below. It simply loops to add up a
series of terms and it produces the correct result.

// sum numbers with a loop
public int DoSumLooping(int iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i++)
{
result += i;
}
return result;
}

Now translate this into a specific solution that doesn't use looping (and
use the same value for the number of iterations the loop performs). This
code returns an incorrect result. The method consists entirely of a very
straightforward code statement, but in this case .NET adds the numbers
incorrectly.
public double ComputeSum( )
{
// Brute force sum method
// For iterations == 10000
double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+ ...
+ 9997+ 9998+ 9999+ 10000;
return sum;
}
The above method returns an incorrect result with any number of terms above
about 200. It will correctly add 1 + 2 + ... + 200, but it will NOT
correctly add 1 + 2 + ... + 1000.

I have just run across this, and I have not yet researched the possible
reasons for this behavior. It may be a known issue related to either stack
size or the length of a code line, but to my knowledge it hasn't been
discussed in any of the "popular" literature on C# and .NET. I need to write
code like this, so if anyone has already encountered this issue, please
advise me.


Here's another example that also creates problems, but of a somewhat
different nature. Take the following code and translate it into a specific,
non-looping method and try to execute it using reflection. It fails.

public double LoopToCompute()
{
double sumOfProducts = 0;
double grandTotal = 0;
for (int i = 0; i < maxRows; ++i)
{
for (int j = 0; j < maxCols; ++j)
{
sumOfProducts += coeff[j] * table[j];
}
a_point = sumOfProducts;
grandTotal += sumOfProducts;
sumOfProducts = 0;
}
return grandTotal;
}//LoopToCompute

The above code works -- but it's equivalent code with loops unrolled (shown
below) doesn't work unless the maxRows is set very small. For small values,
the 2 methods (above and below) produce identical results. There is nothing
"wrong" with the code in that sense. It's similar to the above situation. If
the "size" of the code statement or the number of code statements is too
large, .NET fails. In this case (using reflection) it doesn't return the
incorrect result, as the first example did. In this case, reflection calls
it an invalid program and refuses to run it (but only when the value of
maxRows is above about 250). The reason for this is probably
straightforward. However, I have the need to make statements like this for
performance reasons so I need a work-around. Any suggestions are
appreciated! All comments are appreciated.

public double DoBruteForceCompute()
{
double bruteForceSum = 0;

point1=coeff1*table[0][0] +coeff2*table[0][1] +coeff3*table[0][2]
+coeff4*table[0][3] +coeff5*table[0][4] +coeff6*table[0][5]
+coeff7*table[0][6] +coeff8*table[0][7] +coeff9*table[0][8]
+coeff10*table[0][9] +coeff11*table[0][10] +coeff12*table[0][11]
+coeff13*table[0][12] +coeff14*table[0][13] +coeff15*table[0][14]
+coeff16*table[0][15] +coeff17*table[0][16] +coeff18*table[0][17]
+coeff19*table[0][18] +coeff20*table[0][19] +coeff21*table[0][20]
+coeff22*table[0][21] +coeff23*table[0][22] +coeff24*table[0][23]
+coeff25*table[0][24] +coeff26*table[0][25] +coeff27*table[0][26]
+coeff28*table[0][27] +coeff29*table[0][28] +coeff30*table[0][29]
+coeff31*table[0][30] +coeff32*table[0][31] +coeff33*table[0][32]
+coeff34*table[0][33] +coeff35*table[0][34] ;

point2=coeff1*table[1][0] +coeff2*table[1][1] +coeff3*table[1][2]
+coeff4*table[1][3] +coeff5*table[1][4] +coeff6*table[1][5]
+coeff7*table[1][6] +coeff8*table[1][7] +coeff9*table[1][8]
+coeff10*table[1][9] +coeff11*table[1][10] +coeff12*table[1][11]
+coeff13*table[1][12] +coeff14*table[1][13] +coeff15*table[1][14]
+coeff16*table[1][15] +coeff17*table[1][16] +coeff18*table[1][17]
+coeff19*table[1][18] +coeff20*table[1][19] +coeff21*table[1][20]
+coeff22*table[1][21] +coeff23*table[1][22] +coeff24*table[1][23]
+coeff25*table[1][24] +coeff26*table[1][25] +coeff27*table[1][26]
+coeff28*table[1][27] +coeff29*table[1][28] +coeff30*table[1][29]
+coeff31*table[1][30] +coeff32*table[1][31] +coeff33*table[1][32]
+coeff34*table[1][33] +coeff35*table[1][34] ;


[...]

point500=coeff1*table[499][0] +coeff2*table[499][1] +coeff3*table[499][2]
+coeff4*table[499][3] +coeff5*table[499][4] +coeff6*table[499][5]
+coeff7*table[499][6] +coeff8*table[499][7] +coeff9*table[499][8]
+coeff10*table[499][9] +coeff11*table[499][10] +coeff12*table[499][11]
+coeff13*table[499][12] +coeff14*table[499][13] +coeff15*table[499][14]
+coeff16*table[499][15] +coeff17*table[499][16] +coeff18*table[499][17]
+coeff19*table[499][18] +coeff20*table[499][19] +coeff21*table[499][20]
+coeff22*table[499][21] +coeff23*table[499][22] +coeff24*table[499][23]
+coeff25*table[499][24] +coeff26*table[499][25] +coeff27*table[499][26]
+coeff28*table[499][27] +coeff29*table[499][28] +coeff30*table[499][29]
+coeff31*table[499][30] +coeff32*table[499][31] +coeff33*table[499][32]
+coeff34*table[499][33] +coeff35*table[499][34] ;

bruteForceSum =
point1 +
point2 + ... +

point499 +
point500
;

return bruteForceSum;

}//DoBruteForceCompute

 

[100]

You use variables of diferent type for the result.

result is *int*

// sum numbers with a loop
public int DoSumLooping(int iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i++)
{
result += i;
}
return result;
}

public double ComputeSum( )
{
// Brute force sum method
// For iterations == 10000
double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+ ....
+ 9997+ 9998+ 9999+ 10000;
return sum;
}

result is *double*

Can it be de reason for the different results?

B\rgds
100

 

[William Ryan]

I just did it going with 200 Hard coded ints, then 390, then 300. Each time
I got the correct results. Are you positive of the input numbers? I know
that's a stupid question, but I first did each one by loading them into an
Int Array and adding them like that. It worked. Then I actually used
straight hard coding, and I used the number 10 each time and added 100000 to
the last one for good measure (just to make sure the value I had was
similarly high). No problems whatsoever. Inasmuch as you can load those
values in an array and iterate it successfully, couldn't you just load the
array and use an iterative approach? I understand that's what you are
asking about...why should you have to do this, but it's probably easier than
verifying the math each time when you know it will work. If I can find
anything, I'll repost.

HTH,

Bill

Take some standard code such as shown below. It simply loops to add up a
series of terms and it produces the correct result.

// sum numbers with a loop
public int DoSumLooping(int iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i++)
{
result += i;
}
return result;
}

Now translate this into a specific solution that doesn't use looping (and
use the same value for the number of iterations the loop performs). This
code returns an incorrect result. The method consists entirely of a very
straightforward code statement, but in this case .NET adds the numbers
incorrectly.
public double ComputeSum( )
{
// Brute force sum method
// For iterations == 10000
double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+ ....
+ 9997+ 9998+ 9999+ 10000;
return sum;
}
The above method returns an incorrect result with any number of terms above
about 200. It will correctly add 1 + 2 + ... + 200, but it will NOT
correctly add 1 + 2 + ... + 1000.

I have just run across this, and I have not yet researched the possible
reasons for this behavior. It may be a known issue related to either stack
size or the length of a code line, but to my knowledge it hasn't been
discussed in any of the "popular" literature on C# and .NET. I need to write
code like this, so if anyone has already encountered this issue, please
advise me.


Here's another example that also creates problems, but of a somewhat
different nature. Take the following code and translate it into a specific,
non-looping method and try to execute it using reflection. It fails.

public double LoopToCompute()
{
double sumOfProducts = 0;
double grandTotal = 0;
for (int i = 0; i < maxRows; ++i)
{
for (int j = 0; j < maxCols; ++j)
{
sumOfProducts += coeff[j] * table[j];
}
a_point = sumOfProducts;
grandTotal += sumOfProducts;
sumOfProducts = 0;
}
return grandTotal;
}//LoopToCompute

The above code works -- but it's equivalent code with loops unrolled (shown
below) doesn't work unless the maxRows is set very small. For small values,
the 2 methods (above and below) produce identical results. There is nothing
"wrong" with the code in that sense. It's similar to the above situation. If
the "size" of the code statement or the number of code statements is too
large, .NET fails. In this case (using reflection) it doesn't return the
incorrect result, as the first example did. In this case, reflection calls
it an invalid program and refuses to run it (but only when the value of
maxRows is above about 250). The reason for this is probably
straightforward. However, I have the need to make statements like this for
performance reasons so I need a work-around. Any suggestions are
appreciated! All comments are appreciated.

public double DoBruteForceCompute()
{
double bruteForceSum = 0;

point1=coeff1*table[0][0] +coeff2*table[0][1] +coeff3*table[0][2]
+coeff4*table[0][3] +coeff5*table[0][4] +coeff6*table[0][5]
+coeff7*table[0][6] +coeff8*table[0][7] +coeff9*table[0][8]
+coeff10*table[0][9] +coeff11*table[0][10] +coeff12*table[0][11]
+coeff13*table[0][12] +coeff14*table[0][13] +coeff15*table[0][14]
+coeff16*table[0][15] +coeff17*table[0][16] +coeff18*table[0][17]
+coeff19*table[0][18] +coeff20*table[0][19] +coeff21*table[0][20]
+coeff22*table[0][21] +coeff23*table[0][22] +coeff24*table[0][23]
+coeff25*table[0][24] +coeff26*table[0][25] +coeff27*table[0][26]
+coeff28*table[0][27] +coeff29*table[0][28] +coeff30*table[0][29]
+coeff31*table[0][30] +coeff32*table[0][31] +coeff33*table[0][32]
+coeff34*table[0][33] +coeff35*table[0][34] ;

point2=coeff1*table[1][0] +coeff2*table[1][1] +coeff3*table[1][2]
+coeff4*table[1][3] +coeff5*table[1][4] +coeff6*table[1][5]
+coeff7*table[1][6] +coeff8*table[1][7] +coeff9*table[1][8]
+coeff10*table[1][9] +coeff11*table[1][10] +coeff12*table[1][11]
+coeff13*table[1][12] +coeff14*table[1][13] +coeff15*table[1][14]
+coeff16*table[1][15] +coeff17*table[1][16] +coeff18*table[1][17]
+coeff19*table[1][18] +coeff20*table[1][19] +coeff21*table[1][20]
+coeff22*table[1][21] +coeff23*table[1][22] +coeff24*table[1][23]
+coeff25*table[1][24] +coeff26*table[1][25] +coeff27*table[1][26]
+coeff28*table[1][27] +coeff29*table[1][28] +coeff30*table[1][29]
+coeff31*table[1][30] +coeff32*table[1][31] +coeff33*table[1][32]
+coeff34*table[1][33] +coeff35*table[1][34] ;


[...]

point500=coeff1*table[499][0] +coeff2*table[499][1] +coeff3*table[499][2]
+coeff4*table[499][3] +coeff5*table[499][4] +coeff6*table[499][5]
+coeff7*table[499][6] +coeff8*table[499][7] +coeff9*table[499][8]
+coeff10*table[499][9] +coeff11*table[499][10] +coeff12*table[499][11]
+coeff13*table[499][12] +coeff14*table[499][13] +coeff15*table[499][14]
+coeff16*table[499][15] +coeff17*table[499][16] +coeff18*table[499][17]
+coeff19*table[499][18] +coeff20*table[499][19] +coeff21*table[499][20]
+coeff22*table[499][21] +coeff23*table[499][22] +coeff24*table[499][23]
+coeff25*table[499][24] +coeff26*table[499][25] +coeff27*table[499][26]
+coeff28*table[499][27] +coeff29*table[499][28] +coeff30*table[499][29]
+coeff31*table[499][30] +coeff32*table[499][31] +coeff33*table[499][32]
+coeff34*table[499][33] +coeff35*table[499][34] ;

bruteForceSum =
point1 +
point2 + ... +

point499 +
point500
;

return bruteForceSum;

}//DoBruteForceCompute

 

[Mountain Bikn' Guy]

That's not the issue -- the return type doesn't affect the issue I'm
describing, and if you read my post you would have noticed that I said I had
validated that the results were identical for small problems. It's only when
the problem is large that the answers are different (and it is not a
rounding issue). The answers become vastly different -- by orders of
magnitude.

 

[William Ryan]

I thought that it might be the problem too and I tried it both ways. Since
I didn't test with decimals (it looks like his case, he didn't have any
decimals) the only difference was the .0 at the end of it if I declared it
as double.

I suspect that there may be decimals in there b/c it sure seems that if you
iterate with a loop, you should get the same numbers.

 

[Mountain Bikn' Guy]

Yes, I'm positive. I will post the exact code. Here is the test anyone can
do:
1. paste this code, compile and run. Check the result.
2. Use Excel and do the same thing and compare the result. In Excel, simply
enter 1 on row 1 and 2 on row 2, then copy down to 10000 (or whatever size
you wish). Then use the sum function to get the sum. You will see that the
C# code is vastly in error.

Here's the code (sorry, but it's long):
public double ComputeSum( )

{

// Brute force sum method

// For value = 10000

double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+ 16+ 17+
18+ 19+ 20+ 21+ 22+ 23+ 24+ 25+ 26+ 27+ 28+ 29+ 30+ 31+ 32+ 33+ 34+ 35+ 36+
37+ 38+ 39+ 40+ 41+ 42+ 43+ 44+ 45+ 46+ 47+ 48+ 49+ 50+ 51+ 52+ 53+ 54+ 55+
56+ 57+ 58+ 59+ 60+ 61+ 62+ 63+ 64+ 65+ 66+ 67+ 68+ 69+ 70+ 71+ 72+ 73+ 74+
75+ 76+ 77+ 78+ 79+ 80+ 81+ 82+ 83+ 84+ 85+ 86+ 87+ 88+ 89+ 90+ 91+ 92+ 93+
94+ 95+ 96+ 97+ 98+ 99+ 100+ 101+ 102+ 103+ 104+ 105+ 106+ 107+ 108+ 109+
110+ 111+ 112+ 113+ 114+ 115+ 116+ 117+ 118+ 119+ 120+ 121+ 122+ 123+ 124+
125+ 126+ 127+ 128+ 129+ 130+ 131+ 132+ 133+ 134+ 135+ 136+ 137+ 138+ 139+
140+ 141+ 142+ 143+ 144+ 145+ 146+ 147+ 148+ 149+ 150+ 151+ 152+ 153+ 154+
155+ 156+ 157+ 158+ 159+ 160+ 161+ 162+ 163+ 164+ 165+ 166+ 167+ 168+ 169+
170+ 171+ 172+ 173+ 174+ 175+ 176+ 177+ 178+ 179+ 180+ 181+ 182+ 183+ 184+
185+ 186+ 187+ 188+ 189+ 190+ 191+ 192+ 193+ 194+ 195+ 196+ 197+ 198+ 199+
200+ 201+ 202+ 203+ 204+ 205+ 206+ 207+ 208+ 209+ 210+ 211+ 212+ 213+ 214+
215+ 216+ 217+ 218+ 219+ 220+ 221+ 222+ 223+ 224+ 225+ 226+ 227+ 228+ 229+
230+ 231+ 232+ 233+ 234+ 235+ 236+ 237+ 238+ 239+ 240+ 241+ 242+ 243+ 244+
245+ 246+ 247+ 248+ 249+ 250+ 251+ 252+ 253+ 254+ 255+ 256+ 257+ 258+ 259+
260+ 261+ 262+ 263+ 264+ 265+ 266+ 267+ 268+ 269+ 270+ 271+ 272+ 273+ 274+
275+ 276+ 277+ 278+ 279+ 280+ 281+ 282+ 283+ 284+ 285+ 286+ 287+ 288+ 289+
290+ 291+ 292+ 293+ 294+ 295+ 296+ 297+ 298+ 299+ 300+ 301+ 302+ 303+ 304+
305+ 306+ 307+ 308+ 309+ 310+ 311+ 312+ 313+ 314+ 315+ 316+ 317+ 318+ 319+
320+ 321+ 322+ 323+ 324+ 325+ 326+ 327+ 328+ 329+ 330+ 331+ 332+ 333+ 334+
335+ 336+ 337+ 338+ 339+ 340+ 341+ 342+ 343+ 344+ 345+ 346+ 347+ 348+ 349+
350+ 351+ 352+ 353+ 354+ 355+ 356+ 357+ 358+ 359+ 360+ 361+ 362+ 363+ 364+
365+ 366+ 367+ 368+ 369+ 370+ 371+ 372+ 373+ 374+ 375+ 376+ 377+ 378+ 379+
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650+ 651+ 652+ 653+ 654+ 655+ 656+ 657+ 658+ 659+ 660+ 661+ 662+ 663+ 664+
665+ 666+ 667+ 668+ 669+ 670+ 671+ 672+ 673+ 674+ 675+ 676+ 677+ 678+ 679+
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785+ 786+ 787+ 788+ 789+ 790+ 791+ 792+ 793+ 794+ 795+ 796+ 797+ 798+ 799+
800+ 801+ 802+ 803+ 804+ 805+ 806+ 807+ 808+ 809+ 810+ 811+ 812+ 813+ 814+
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830+ 831+ 832+ 833+ 834+ 835+ 836+ 837+ 838+ 839+ 840+ 841+ 842+ 843+ 844+
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860+ 861+ 862+ 863+ 864+ 865+ 866+ 867+ 868+ 869+ 870+ 871+ 872+ 873+ 874+
875+ 876+ 877+ 878+ 879+ 880+ 881+ 882+ 883+ 884+ 885+ 886+ 887+ 888+ 889+
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935+ 936+ 937+ 938+ 939+ 940+ 941+ 942+ 943+ 944+ 945+ 946+ 947+ 948+ 949+
950+ 951+ 952+ 953+ 954+ 955+ 956+ 957+ 958+ 959+ 960+ 961+ 962+ 963+ 964+
965+ 966+ 967+ 968+ 969+ 970+ 971+ 972+ 973+ 974+ 975+ 976+ 977+ 978+ 979+
980+ 981+ 982+ 983+ 984+ 985+ 986+ 987+ 988+ 989+ 990+ 991+ 992+ 993+ 994+
995+ 996+ 997+ 998+ 999+ 1000+ 1001+ 1002+ 1003+ 1004+ 1005+ 1006+ 1007+
1008+ 1009+ 1010+ 1011+ 1012+ 1013+ 1014+ 1015+ 1016+ 1017+ 1018+ 1019+
1020+ 1021+ 1022+ 1023+ 1024+ 1025+ 1026+ 1027+ 1028+ 1029+ 1030+ 1031+
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1080+ 1081+ 1082+ 1083+ 1084+ 1085+ 1086+ 1087+ 1088+ 1089+ 1090+ 1091+
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8916+ 8917+ 8918+ 8919+ 8920+ 8921+ 8922+ 8923+ 8924+ 8925+ 8926+ 8927+
8928+ 8929+ 8930+ 8931+ 8932+ 8933+ 8934+ 8935+ 8936+ 8937+ 8938+ 8939+
8940+ 8941+ 8942+ 8943+ 8944+ 8945+ 8946+ 8947+ 8948+ 8949+ 8950+ 8951+
8952+ 8953+ 8954+ 8955+ 8956+ 8957+ 8958+ 8959+ 8960+ 8961+ 8962+ 8963+
8964+ 8965+ 8966+ 8967+ 8968+ 8969+ 8970+ 8971+ 8972+ 8973+ 8974+ 8975+
8976+ 8977+ 8978+ 8979+ 8980+ 8981+ 8982+ 8983+ 8984+ 8985+ 8986+ 8987+
8988+ 8989+ 8990+ 8991+ 8992+ 8993+ 8994+ 8995+ 8996+ 8997+ 8998+ 8999+
9000+ 9001+ 9002+ 9003+ 9004+ 9005+ 9006+ 9007+ 9008+ 9009+ 9010+ 9011+
9012+ 9013+ 9014+ 9015+ 9016+ 9017+ 9018+ 9019+ 9020+ 9021+ 9022+ 9023+
9024+ 9025+ 9026+ 9027+ 9028+ 9029+ 9030+ 9031+ 9032+ 9033+ 9034+ 9035+
9036+ 9037+ 9038+ 9039+ 9040+ 9041+ 9042+ 9043+ 9044+ 9045+ 9046+ 9047+
9048+ 9049+ 9050+ 9051+ 9052+ 9053+ 9054+ 9055+ 9056+ 9057+ 9058+ 9059+
9060+ 9061+ 9062+ 9063+ 9064+ 9065+ 9066+ 9067+ 9068+ 9069+ 9070+ 9071+
9072+ 9073+ 9074+ 9075+ 9076+ 9077+ 9078+ 9079+ 9080+ 9081+ 9082+ 9083+
9084+ 9085+ 9086+ 9087+ 9088+ 9089+ 9090+ 9091+ 9092+ 9093+ 9094+ 9095+
9096+ 9097+ 9098+ 9099+ 9100+ 9101+ 9102+ 9103+ 9104+ 9105+ 9106+ 9107+
9108+ 9109+ 9110+ 9111+ 9112+ 9113+ 9114+ 9115+ 9116+ 9117+ 9118+ 9119+
9120+ 9121+ 9122+ 9123+ 9124+ 9125+ 9126+ 9127+ 9128+ 9129+ 9130+ 9131+
9132+ 9133+ 9134+ 9135+ 9136+ 9137+ 9138+ 9139+ 9140+ 9141+ 9142+ 9143+
9144+ 9145+ 9146+ 9147+ 9148+ 9149+ 9150+ 9151+ 9152+ 9153+ 9154+ 9155+
9156+ 9157+ 9158+ 9159+ 9160+ 9161+ 9162+ 9163+ 9164+ 9165+ 9166+ 9167+
9168+ 9169+ 9170+ 9171+ 9172+ 9173+ 9174+ 9175+ 9176+ 9177+ 9178+ 9179+
9180+ 9181+ 9182+ 9183+ 9184+ 9185+ 9186+ 9187+ 9188+ 9189+ 9190+ 9191+
9192+ 9193+ 9194+ 9195+ 9196+ 9197+ 9198+ 9199+ 9200+ 9201+ 9202+ 9203+
9204+ 9205+ 9206+ 9207+ 9208+ 9209+ 9210+ 9211+ 9212+ 9213+ 9214+ 9215+
9216+ 9217+ 9218+ 9219+ 9220+ 9221+ 9222+ 9223+ 9224+ 9225+ 9226+ 9227+
9228+ 9229+ 9230+ 9231+ 9232+ 9233+ 9234+ 9235+ 9236+ 9237+ 9238+ 9239+
9240+ 9241+ 9242+ 9243+ 9244+ 9245+ 9246+ 9247+ 9248+ 9249+ 9250+ 9251+
9252+ 9253+ 9254+ 9255+ 9256+ 9257+ 9258+ 9259+ 9260+ 9261+ 9262+ 9263+
9264+ 9265+ 9266+ 9267+ 9268+ 9269+ 9270+ 9271+ 9272+ 9273+ 9274+ 9275+
9276+ 9277+ 9278+ 9279+ 9280+ 9281+ 9282+ 9283+ 9284+ 9285+ 9286+ 9287+
9288+ 9289+ 9290+ 9291+ 9292+ 9293+ 9294+ 9295+ 9296+ 9297+ 9298+ 9299+
9300+ 9301+ 9302+ 9303+ 9304+ 9305+ 9306+ 9307+ 9308+ 9309+ 9310+ 9311+
9312+ 9313+ 9314+ 9315+ 9316+ 9317+ 9318+ 9319+ 9320+ 9321+ 9322+ 9323+
9324+ 9325+ 9326+ 9327+ 9328+ 9329+ 9330+ 9331+ 9332+ 9333+ 9334+ 9335+
9336+ 9337+ 9338+ 9339+ 9340+ 9341+ 9342+ 9343+ 9344+ 9345+ 9346+ 9347+
9348+ 9349+ 9350+ 9351+ 9352+ 9353+ 9354+ 9355+ 9356+ 9357+ 9358+ 9359+
9360+ 9361+ 9362+ 9363+ 9364+ 9365+ 9366+ 9367+ 9368+ 9369+ 9370+ 9371+
9372+ 9373+ 9374+ 9375+ 9376+ 9377+ 9378+ 9379+ 9380+ 9381+ 9382+ 9383+
9384+ 9385+ 9386+ 9387+ 9388+ 9389+ 9390+ 9391+ 9392+ 9393+ 9394+ 9395+
9396+ 9397+ 9398+ 9399+ 9400+ 9401+ 9402+ 9403+ 9404+ 9405+ 9406+ 9407+
9408+ 9409+ 9410+ 9411+ 9412+ 9413+ 9414+ 9415+ 9416+ 9417+ 9418+ 9419+
9420+ 9421+ 9422+ 9423+ 9424+ 9425+ 9426+ 9427+ 9428+ 9429+ 9430+ 9431+
9432+ 9433+ 9434+ 9435+ 9436+ 9437+ 9438+ 9439+ 9440+ 9441+ 9442+ 9443+
9444+ 9445+ 9446+ 9447+ 9448+ 9449+ 9450+ 9451+ 9452+ 9453+ 9454+ 9455+
9456+ 9457+ 9458+ 9459+ 9460+ 9461+ 9462+ 9463+ 9464+ 9465+ 9466+ 9467+
9468+ 9469+ 9470+ 9471+ 9472+ 9473+ 9474+ 9475+ 9476+ 9477+ 9478+ 9479+
9480+ 9481+ 9482+ 9483+ 9484+ 9485+ 9486+ 9487+ 9488+ 9489+ 9490+ 9491+
9492+ 9493+ 9494+ 9495+ 9496+ 9497+ 9498+ 9499+ 9500+ 9501+ 9502+ 9503+
9504+ 9505+ 9506+ 9507+ 9508+ 9509+ 9510+ 9511+ 9512+ 9513+ 9514+ 9515+
9516+ 9517+ 9518+ 9519+ 9520+ 9521+ 9522+ 9523+ 9524+ 9525+ 9526+ 9527+
9528+ 9529+ 9530+ 9531+ 9532+ 9533+ 9534+ 9535+ 9536+ 9537+ 9538+ 9539+
9540+ 9541+ 9542+ 9543+ 9544+ 9545+ 9546+ 9547+ 9548+ 9549+ 9550+ 9551+
9552+ 9553+ 9554+ 9555+ 9556+ 9557+ 9558+ 9559+ 9560+ 9561+ 9562+ 9563+
9564+ 9565+ 9566+ 9567+ 9568+ 9569+ 9570+ 9571+ 9572+ 9573+ 9574+ 9575+
9576+ 9577+ 9578+ 9579+ 9580+ 9581+ 9582+ 9583+ 9584+ 9585+ 9586+ 9587+
9588+ 9589+ 9590+ 9591+ 9592+ 9593+ 9594+ 9595+ 9596+ 9597+ 9598+ 9599+
9600+ 9601+ 9602+ 9603+ 9604+ 9605+ 9606+ 9607+ 9608+ 9609+ 9610+ 9611+
9612+ 9613+ 9614+ 9615+ 9616+ 9617+ 9618+ 9619+ 9620+ 9621+ 9622+ 9623+
9624+ 9625+ 9626+ 9627+ 9628+ 9629+ 9630+ 9631+ 9632+ 9633+ 9634+ 9635+
9636+ 9637+ 9638+ 9639+ 9640+ 9641+ 9642+ 9643+ 9644+ 9645+ 9646+ 9647+
9648+ 9649+ 9650+ 9651+ 9652+ 9653+ 9654+ 9655+ 9656+ 9657+ 9658+ 9659+
9660+ 9661+ 9662+ 9663+ 9664+ 9665+ 9666+ 9667+ 9668+ 9669+ 9670+ 9671+
9672+ 9673+ 9674+ 9675+ 9676+ 9677+ 9678+ 9679+ 9680+ 9681+ 9682+ 9683+
9684+ 9685+ 9686+ 9687+ 9688+ 9689+ 9690+ 9691+ 9692+ 9693+ 9694+ 9695+
9696+ 9697+ 9698+ 9699+ 9700+ 9701+ 9702+ 9703+ 9704+ 9705+ 9706+ 9707+
9708+ 9709+ 9710+ 9711+ 9712+ 9713+ 9714+ 9715+ 9716+ 9717+ 9718+ 9719+
9720+ 9721+ 9722+ 9723+ 9724+ 9725+ 9726+ 9727+ 9728+ 9729+ 9730+ 9731+
9732+ 9733+ 9734+ 9735+ 9736+ 9737+ 9738+ 9739+ 9740+ 9741+ 9742+ 9743+
9744+ 9745+ 9746+ 9747+ 9748+ 9749+ 9750+ 9751+ 9752+ 9753+ 9754+ 9755+
9756+ 9757+ 9758+ 9759+ 9760+ 9761+ 9762+ 9763+ 9764+ 9765+ 9766+ 9767+
9768+ 9769+ 9770+ 9771+ 9772+ 9773+ 9774+ 9775+ 9776+ 9777+ 9778+ 9779+
9780+ 9781+ 9782+ 9783+ 9784+ 9785+ 9786+ 9787+ 9788+ 9789+ 9790+ 9791+
9792+ 9793+ 9794+ 9795+ 9796+ 9797+ 9798+ 9799+ 9800+ 9801+ 9802+ 9803+
9804+ 9805+ 9806+ 9807+ 9808+ 9809+ 9810+ 9811+ 9812+ 9813+ 9814+ 9815+
9816+ 9817+ 9818+ 9819+ 9820+ 9821+ 9822+ 9823+ 9824+ 9825+ 9826+ 9827+
9828+ 9829+ 9830+ 9831+ 9832+ 9833+ 9834+ 9835+ 9836+ 9837+ 9838+ 9839+
9840+ 9841+ 9842+ 9843+ 9844+ 9845+ 9846+ 9847+ 9848+ 9849+ 9850+ 9851+
9852+ 9853+ 9854+ 9855+ 9856+ 9857+ 9858+ 9859+ 9860+ 9861+ 9862+ 9863+
9864+ 9865+ 9866+ 9867+ 9868+ 9869+ 9870+ 9871+ 9872+ 9873+ 9874+ 9875+
9876+ 9877+ 9878+ 9879+ 9880+ 9881+ 9882+ 9883+ 9884+ 9885+ 9886+ 9887+
9888+ 9889+ 9890+ 9891+ 9892+ 9893+ 9894+ 9895+ 9896+ 9897+ 9898+ 9899+
9900+ 9901+ 9902+ 9903+ 9904+ 9905+ 9906+ 9907+ 9908+ 9909+ 9910+ 9911+
9912+ 9913+ 9914+ 9915+ 9916+ 9917+ 9918+ 9919+ 9920+ 9921+ 9922+ 9923+
9924+ 9925+ 9926+ 9927+ 9928+ 9929+ 9930+ 9931+ 9932+ 9933+ 9934+ 9935+
9936+ 9937+ 9938+ 9939+ 9940+ 9941+ 9942+ 9943+ 9944+ 9945+ 9946+ 9947+
9948+ 9949+ 9950+ 9951+ 9952+ 9953+ 9954+ 9955+ 9956+ 9957+ 9958+ 9959+
9960+ 9961+ 9962+ 9963+ 9964+ 9965+ 9966+ 9967+ 9968+ 9969+ 9970+ 9971+
9972+ 9973+ 9974+ 9975+ 9976+ 9977+ 9978+ 9979+ 9980+ 9981+ 9982+ 9983+
9984+ 9985+ 9986+ 9987+ 9988+ 9989+ 9990+ 9991+ 9992+ 9993+ 9994+ 9995+
9996+ 9997+ 9998+ 9999+ 10000;

return sum;

}

I just did it going with 200 Hard coded ints, then 390, then 300. Each time
I got the correct results. Are you positive of the input numbers? I know
that's a stupid question, but I first did each one by loading them into an
Int Array and adding them like that. It worked. Then I actually used
straight hard coding, and I used the number 10 each time and added 100000 to
the last one for good measure (just to make sure the value I had was
similarly high). No problems whatsoever. Inasmuch as you can load those
values in an array and iterate it successfully, couldn't you just load the
array and use an iterative approach? I understand that's what you are
asking about...why should you have to do this, but it's probably easier than
verifying the math each time when you know it will work. If I can find
anything, I'll repost.

HTH,

Bill

Take some standard code such as shown below. It simply loops to add up a
series of terms and it produces the correct result.

// sum numbers with a loop
public int DoSumLooping(int iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i++)
{
result += i;
}
return result;
}

Now translate this into a specific solution that doesn't use looping (and
use the same value for the number of iterations the loop performs). This
code returns an incorrect result. The method consists entirely of a very
straightforward code statement, but in this case .NET adds the numbers
incorrectly.
public double ComputeSum( )
{
// Brute force sum method
// For iterations == 10000
double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+ ...
+ 9997+ 9998+ 9999+ 10000;
return sum;
}
The above method returns an incorrect result with any number of terms above
about 200. It will correctly add 1 + 2 + ... + 200, but it will NOT
correctly add 1 + 2 + ... + 1000.

I have just run across this, and I have not yet researched the possible
reasons for this behavior. It may be a known issue related to either stack
size or the length of a code line, but to my knowledge it hasn't been
discussed in any of the "popular" literature on C# and .NET. I need to write
code like this, so if anyone has already encountered this issue, please
advise me.


Here's another example that also creates problems, but of a somewhat
different nature. Take the following code and translate it into a specific,
non-looping method and try to execute it using reflection. It fails.

public double LoopToCompute()
{
double sumOfProducts = 0;
double grandTotal = 0;
for (int i = 0; i < maxRows; ++i)
{
for (int j = 0; j < maxCols; ++j)
{
sumOfProducts += coeff[j] * table[j];
}
a_point = sumOfProducts;
grandTotal += sumOfProducts;
sumOfProducts = 0;
}
return grandTotal;
}//LoopToCompute

The above code works -- but it's equivalent code with loops unrolled (shown
below) doesn't work unless the maxRows is set very small. For small values,
the 2 methods (above and below) produce identical results. There is nothing
"wrong" with the code in that sense. It's similar to the above

situation.

If
the "size" of the code statement or the number of code statements is too
large, .NET fails. In this case (using reflection) it doesn't return the
incorrect result, as the first example did. In this case, reflection calls
it an invalid program and refuses to run it (but only when the value of
maxRows is above about 250). The reason for this is probably
straightforward. However, I have the need to make statements like this for
performance reasons so I need a work-around. Any suggestions are
appreciated! All comments are appreciated.

public double DoBruteForceCompute()
{
double bruteForceSum = 0;

point1=coeff1*table[0][0] +coeff2*table[0][1] +coeff3*table[0][2]
+coeff4*table[0][3] +coeff5*table[0][4] +coeff6*table[0][5]
+coeff7*table[0][6] +coeff8*table[0][7] +coeff9*table[0][8]
+coeff10*table[0][9] +coeff11*table[0][10] +coeff12*table[0][11]
+coeff13*table[0][12] +coeff14*table[0][13] +coeff15*table[0][14]
+coeff16*table[0][15] +coeff17*table[0][16] +coeff18*table[0][17]
+coeff19*table[0][18] +coeff20*table[0][19] +coeff21*table[0][20]
+coeff22*table[0][21] +coeff23*table[0][22] +coeff24*table[0][23]
+coeff25*table[0][24] +coeff26*table[0][25] +coeff27*table[0][26]
+coeff28*table[0][27] +coeff29*table[0][28] +coeff30*table[0][29]
+coeff31*table[0][30] +coeff32*table[0][31] +coeff33*table[0][32]
+coeff34*table[0][33] +coeff35*table[0][34] ;

point2=coeff1*table[1][0] +coeff2*table[1][1] +coeff3*table[1][2]
+coeff4*table[1][3] +coeff5*table[1][4] +coeff6*table[1][5]
+coeff7*table[1][6] +coeff8*table[1][7] +coeff9*table[1][8]
+coeff10*table[1][9] +coeff11*table[1][10] +coeff12*table[1][11]
+coeff13*table[1][12] +coeff14*table[1][13] +coeff15*table[1][14]
+coeff16*table[1][15] +coeff17*table[1][16] +coeff18*table[1][17]
+coeff19*table[1][18] +coeff20*table[1][19] +coeff21*table[1][20]
+coeff22*table[1][21] +coeff23*table[1][22] +coeff24*table[1][23]
+coeff25*table[1][24] +coeff26*table[1][25] +coeff27*table[1][26]
+coeff28*table[1][27] +coeff29*table[1][28] +coeff30*table[1][29]
+coeff31*table[1][30] +coeff32*table[1][31] +coeff33*table[1][32]
+coeff34*table[1][33] +coeff35*table[1][34] ;


[...]

point500=coeff1*table[499][0] +coeff2*table[499][1] +coeff3*table[499][2]
+coeff4*table[499][3] +coeff5*table[499][4] +coeff6*table[499][5]
+coeff7*table[499][6] +coeff8*table[499][7] +coeff9*table[499][8]
+coeff10*table[499][9] +coeff11*table[499][10] +coeff12*table[499][11]
+coeff13*table[499][12] +coeff14*table[499][13] +coeff15*table[499][14]
+coeff16*table[499][15] +coeff17*table[499][16] +coeff18*table[499][17]
+coeff19*table[499][18] +coeff20*table[499][19] +coeff21*table[499][20]
+coeff22*table[499][21] +coeff23*table[499][22] +coeff24*table[499][23]
+coeff25*table[499][24] +coeff26*table[499][25] +coeff27*table[499][26]
+coeff28*table[499][27] +coeff29*table[499][28] +coeff30*table[499][29]
+coeff31*table[499][30] +coeff32*table[499][31] +coeff33*table[499][32]
+coeff34*table[499][33] +coeff35*table[499][34] ;

bruteForceSum =
point1 +
point2 + ... +

point499 +
point500
;

return bruteForceSum;

}//DoBruteForceCompute

 

[Jhon]

Hi,

Maybe not the issue, tough it unwinds the loop, the sum of the first n
consecutive numbers:

(n+1)*n
= ---------
2

Greetings

Take some standard code such as shown below. It simply loops to add up a
series of terms and it produces the correct result.

// sum numbers with a loop
public int DoSumLooping(int iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i++)
{
result += i;
}
return result;
}

Now translate this into a specific solution that doesn't use looping (and
use the same value for the number of iterations the loop performs). This
code returns an incorrect result. The method consists entirely of a very
straightforward code statement, but in this case .NET adds the numbers
incorrectly.
public double ComputeSum( )
{
// Brute force sum method
// For iterations == 10000
double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+ ....
+ 9997+ 9998+ 9999+ 10000;
return sum;
}
The above method returns an incorrect result with any number of terms above
about 200. It will correctly add 1 + 2 + ... + 200, but it will NOT
correctly add 1 + 2 + ... + 1000.

I have just run across this, and I have not yet researched the possible
reasons for this behavior. It may be a known issue related to either stack
size or the length of a code line, but to my knowledge it hasn't been
discussed in any of the "popular" literature on C# and .NET. I need to write
code like this, so if anyone has already encountered this issue, please
advise me.


Here's another example that also creates problems, but of a somewhat
different nature. Take the following code and translate it into a specific,
non-looping method and try to execute it using reflection. It fails.

public double LoopToCompute()
{
double sumOfProducts = 0;
double grandTotal = 0;
for (int i = 0; i < maxRows; ++i)
{
for (int j = 0; j < maxCols; ++j)
{
sumOfProducts += coeff[j] * table[j];
}
a_point = sumOfProducts;
grandTotal += sumOfProducts;
sumOfProducts = 0;
}
return grandTotal;
}//LoopToCompute

The above code works -- but it's equivalent code with loops unrolled (shown
below) doesn't work unless the maxRows is set very small. For small values,
the 2 methods (above and below) produce identical results. There is nothing
"wrong" with the code in that sense. It's similar to the above situation. If
the "size" of the code statement or the number of code statements is too
large, .NET fails. In this case (using reflection) it doesn't return the
incorrect result, as the first example did. In this case, reflection calls
it an invalid program and refuses to run it (but only when the value of
maxRows is above about 250). The reason for this is probably
straightforward. However, I have the need to make statements like this for
performance reasons so I need a work-around. Any suggestions are
appreciated! All comments are appreciated.

public double DoBruteForceCompute()
{
double bruteForceSum = 0;

point1=coeff1*table[0][0] +coeff2*table[0][1] +coeff3*table[0][2]
+coeff4*table[0][3] +coeff5*table[0][4] +coeff6*table[0][5]
+coeff7*table[0][6] +coeff8*table[0][7] +coeff9*table[0][8]
+coeff10*table[0][9] +coeff11*table[0][10] +coeff12*table[0][11]
+coeff13*table[0][12] +coeff14*table[0][13] +coeff15*table[0][14]
+coeff16*table[0][15] +coeff17*table[0][16] +coeff18*table[0][17]
+coeff19*table[0][18] +coeff20*table[0][19] +coeff21*table[0][20]
+coeff22*table[0][21] +coeff23*table[0][22] +coeff24*table[0][23]
+coeff25*table[0][24] +coeff26*table[0][25] +coeff27*table[0][26]
+coeff28*table[0][27] +coeff29*table[0][28] +coeff30*table[0][29]
+coeff31*table[0][30] +coeff32*table[0][31] +coeff33*table[0][32]
+coeff34*table[0][33] +coeff35*table[0][34] ;

point2=coeff1*table[1][0] +coeff2*table[1][1] +coeff3*table[1][2]
+coeff4*table[1][3] +coeff5*table[1][4] +coeff6*table[1][5]
+coeff7*table[1][6] +coeff8*table[1][7] +coeff9*table[1][8]
+coeff10*table[1][9] +coeff11*table[1][10] +coeff12*table[1][11]
+coeff13*table[1][12] +coeff14*table[1][13] +coeff15*table[1][14]
+coeff16*table[1][15] +coeff17*table[1][16] +coeff18*table[1][17]
+coeff19*table[1][18] +coeff20*table[1][19] +coeff21*table[1][20]
+coeff22*table[1][21] +coeff23*table[1][22] +coeff24*table[1][23]
+coeff25*table[1][24] +coeff26*table[1][25] +coeff27*table[1][26]
+coeff28*table[1][27] +coeff29*table[1][28] +coeff30*table[1][29]
+coeff31*table[1][30] +coeff32*table[1][31] +coeff33*table[1][32]
+coeff34*table[1][33] +coeff35*table[1][34] ;


[...]

point500=coeff1*table[499][0] +coeff2*table[499][1] +coeff3*table[499][2]
+coeff4*table[499][3] +coeff5*table[499][4] +coeff6*table[499][5]
+coeff7*table[499][6] +coeff8*table[499][7] +coeff9*table[499][8]
+coeff10*table[499][9] +coeff11*table[499][10] +coeff12*table[499][11]
+coeff13*table[499][12] +coeff14*table[499][13] +coeff15*table[499][14]
+coeff16*table[499][15] +coeff17*table[499][16] +coeff18*table[499][17]
+coeff19*table[499][18] +coeff20*table[499][19] +coeff21*table[499][20]
+coeff22*table[499][21] +coeff23*table[499][22] +coeff24*table[499][23]
+coeff25*table[499][24] +coeff26*table[499][25] +coeff27*table[499][26]
+coeff28*table[499][27] +coeff29*table[499][28] +coeff30*table[499][29]
+coeff31*table[499][30] +coeff32*table[499][31] +coeff33*table[499][32]
+coeff34*table[499][33] +coeff35*table[499][34] ;

bruteForceSum =
point1 +
point2 + ... +

point499 +
point500
;

return bruteForceSum;

}//DoBruteForceCompute

 

[Peter N Roth]

X-group posting trimmed.



Does using the '+=' operator improve things? I.e.,

Sum = 0;

Sum += 1;

Sum += 2;

Etc.



When you say you must write code like this, I presume

you mean the code is machine-generated.


--
Grace + Peace,
Peter N Roth
Engineering Objects International
http://engineeringobjects.com


news:NZUjb.795942$YN5.793228@sccrnsc01...

 

[memememe]

maybe there is some sort of limit on the ammount of +s and length of your
line, have you tried splitting it on small chunks?

Take some standard code such as shown below. It simply loops to add up a
series of terms and it produces the correct result.

// sum numbers with a loop
public int DoSumLooping(int iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i++)
{
result += i;
}
return result;
}

Now translate this into a specific solution that doesn't use looping (and
use the same value for the number of iterations the loop performs). This
code returns an incorrect result. The method consists entirely of a very
straightforward code statement, but in this case .NET adds the numbers
incorrectly.
public double ComputeSum( )
{
// Brute force sum method
// For iterations == 10000
double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+ ....
+ 9997+ 9998+ 9999+ 10000;
return sum;
}
The above method returns an incorrect result with any number of terms above
about 200. It will correctly add 1 + 2 + ... + 200, but it will NOT
correctly add 1 + 2 + ... + 1000.

I have just run across this, and I have not yet researched the possible
reasons for this behavior. It may be a known issue related to either stack
size or the length of a code line, but to my knowledge it hasn't been
discussed in any of the "popular" literature on C# and .NET. I need to write
code like this, so if anyone has already encountered this issue, please
advise me.


Here's another example that also creates problems, but of a somewhat
different nature. Take the following code and translate it into a specific,
non-looping method and try to execute it using reflection. It fails.

public double LoopToCompute()
{
double sumOfProducts = 0;
double grandTotal = 0;
for (int i = 0; i < maxRows; ++i)
{
for (int j = 0; j < maxCols; ++j)
{
sumOfProducts += coeff[j] * table[j];
}
a_point = sumOfProducts;
grandTotal += sumOfProducts;
sumOfProducts = 0;
}
return grandTotal;
}//LoopToCompute

The above code works -- but it's equivalent code with loops unrolled (shown
below) doesn't work unless the maxRows is set very small. For small values,
the 2 methods (above and below) produce identical results. There is nothing
"wrong" with the code in that sense. It's similar to the above situation. If
the "size" of the code statement or the number of code statements is too
large, .NET fails. In this case (using reflection) it doesn't return the
incorrect result, as the first example did. In this case, reflection calls
it an invalid program and refuses to run it (but only when the value of
maxRows is above about 250). The reason for this is probably
straightforward. However, I have the need to make statements like this for
performance reasons so I need a work-around. Any suggestions are
appreciated! All comments are appreciated.

public double DoBruteForceCompute()
{
double bruteForceSum = 0;

point1=coeff1*table[0][0] +coeff2*table[0][1] +coeff3*table[0][2]
+coeff4*table[0][3] +coeff5*table[0][4] +coeff6*table[0][5]
+coeff7*table[0][6] +coeff8*table[0][7] +coeff9*table[0][8]
+coeff10*table[0][9] +coeff11*table[0][10] +coeff12*table[0][11]
+coeff13*table[0][12] +coeff14*table[0][13] +coeff15*table[0][14]
+coeff16*table[0][15] +coeff17*table[0][16] +coeff18*table[0][17]
+coeff19*table[0][18] +coeff20*table[0][19] +coeff21*table[0][20]
+coeff22*table[0][21] +coeff23*table[0][22] +coeff24*table[0][23]
+coeff25*table[0][24] +coeff26*table[0][25] +coeff27*table[0][26]
+coeff28*table[0][27] +coeff29*table[0][28] +coeff30*table[0][29]
+coeff31*table[0][30] +coeff32*table[0][31] +coeff33*table[0][32]
+coeff34*table[0][33] +coeff35*table[0][34] ;

point2=coeff1*table[1][0] +coeff2*table[1][1] +coeff3*table[1][2]
+coeff4*table[1][3] +coeff5*table[1][4] +coeff6*table[1][5]
+coeff7*table[1][6] +coeff8*table[1][7] +coeff9*table[1][8]
+coeff10*table[1][9] +coeff11*table[1][10] +coeff12*table[1][11]
+coeff13*table[1][12] +coeff14*table[1][13] +coeff15*table[1][14]
+coeff16*table[1][15] +coeff17*table[1][16] +coeff18*table[1][17]
+coeff19*table[1][18] +coeff20*table[1][19] +coeff21*table[1][20]
+coeff22*table[1][21] +coeff23*table[1][22] +coeff24*table[1][23]
+coeff25*table[1][24] +coeff26*table[1][25] +coeff27*table[1][26]
+coeff28*table[1][27] +coeff29*table[1][28] +coeff30*table[1][29]
+coeff31*table[1][30] +coeff32*table[1][31] +coeff33*table[1][32]
+coeff34*table[1][33] +coeff35*table[1][34] ;


[...]

point500=coeff1*table[499][0] +coeff2*table[499][1] +coeff3*table[499][2]
+coeff4*table[499][3] +coeff5*table[499][4] +coeff6*table[499][5]
+coeff7*table[499][6] +coeff8*table[499][7] +coeff9*table[499][8]
+coeff10*table[499][9] +coeff11*table[499][10] +coeff12*table[499][11]
+coeff13*table[499][12] +coeff14*table[499][13] +coeff15*table[499][14]
+coeff16*table[499][15] +coeff17*table[499][16] +coeff18*table[499][17]
+coeff19*table[499][18] +coeff20*table[499][19] +coeff21*table[499][20]
+coeff22*table[499][21] +coeff23*table[499][22] +coeff24*table[499][23]
+coeff25*table[499][24] +coeff26*table[499][25] +coeff27*table[499][26]
+coeff28*table[499][27] +coeff29*table[499][28] +coeff30*table[499][29]
+coeff31*table[499][30] +coeff32*table[499][31] +coeff33*table[499][32]
+coeff34*table[499][33] +coeff35*table[499][34] ;

bruteForceSum =
point1 +
point2 + ... +

point499 +
point500
;

return bruteForceSum;

}//DoBruteForceCompute

 

[Mountain Bikn' Guy]

Funny. Now, can we get back to the issue? This is fundamentally about
reflection emit and specific, optimized solutions to any problem.
Dave

Hi,

Maybe not the issue, tough it unwinds the loop, the sum of the first n
consecutive numbers:

(n+1)*n
= ---------
2

Greetings

Take some standard code such as shown below. It simply loops to add up a
series of terms and it produces the correct result.

// sum numbers with a loop
public int DoSumLooping(int iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i++)
{
result += i;
}
return result;
}

Now translate this into a specific solution that doesn't use looping (and
use the same value for the number of iterations the loop performs). This
code returns an incorrect result. The method consists entirely of a very
straightforward code statement, but in this case .NET adds the numbers
incorrectly.
public double ComputeSum( )
{
// Brute force sum method
// For iterations == 10000
double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+ ...
+ 9997+ 9998+ 9999+ 10000;
return sum;
}
The above method returns an incorrect result with any number of terms above
about 200. It will correctly add 1 + 2 + ... + 200, but it will NOT
correctly add 1 + 2 + ... + 1000.

I have just run across this, and I have not yet researched the possible
reasons for this behavior. It may be a known issue related to either stack
size or the length of a code line, but to my knowledge it hasn't been
discussed in any of the "popular" literature on C# and .NET. I need to write
code like this, so if anyone has already encountered this issue, please
advise me.


Here's another example that also creates problems, but of a somewhat
different nature. Take the following code and translate it into a specific,
non-looping method and try to execute it using reflection. It fails.

public double LoopToCompute()
{
double sumOfProducts = 0;
double grandTotal = 0;
for (int i = 0; i < maxRows; ++i)
{
for (int j = 0; j < maxCols; ++j)
{
sumOfProducts += coeff[j] * table[j];
}
a_point = sumOfProducts;
grandTotal += sumOfProducts;
sumOfProducts = 0;
}
return grandTotal;
}//LoopToCompute

The above code works -- but it's equivalent code with loops unrolled (shown
below) doesn't work unless the maxRows is set very small. For small values,
the 2 methods (above and below) produce identical results. There is nothing
"wrong" with the code in that sense. It's similar to the above

situation.

If
the "size" of the code statement or the number of code statements is too
large, .NET fails. In this case (using reflection) it doesn't return the
incorrect result, as the first example did. In this case, reflection calls
it an invalid program and refuses to run it (but only when the value of
maxRows is above about 250). The reason for this is probably
straightforward. However, I have the need to make statements like this for
performance reasons so I need a work-around. Any suggestions are
appreciated! All comments are appreciated.

public double DoBruteForceCompute()
{
double bruteForceSum = 0;

point1=coeff1*table[0][0] +coeff2*table[0][1] +coeff3*table[0][2]
+coeff4*table[0][3] +coeff5*table[0][4] +coeff6*table[0][5]
+coeff7*table[0][6] +coeff8*table[0][7] +coeff9*table[0][8]
+coeff10*table[0][9] +coeff11*table[0][10] +coeff12*table[0][11]
+coeff13*table[0][12] +coeff14*table[0][13] +coeff15*table[0][14]
+coeff16*table[0][15] +coeff17*table[0][16] +coeff18*table[0][17]
+coeff19*table[0][18] +coeff20*table[0][19] +coeff21*table[0][20]
+coeff22*table[0][21] +coeff23*table[0][22] +coeff24*table[0][23]
+coeff25*table[0][24] +coeff26*table[0][25] +coeff27*table[0][26]
+coeff28*table[0][27] +coeff29*table[0][28] +coeff30*table[0][29]
+coeff31*table[0][30] +coeff32*table[0][31] +coeff33*table[0][32]
+coeff34*table[0][33] +coeff35*table[0][34] ;

point2=coeff1*table[1][0] +coeff2*table[1][1] +coeff3*table[1][2]
+coeff4*table[1][3] +coeff5*table[1][4] +coeff6*table[1][5]
+coeff7*table[1][6] +coeff8*table[1][7] +coeff9*table[1][8]
+coeff10*table[1][9] +coeff11*table[1][10] +coeff12*table[1][11]
+coeff13*table[1][12] +coeff14*table[1][13] +coeff15*table[1][14]
+coeff16*table[1][15] +coeff17*table[1][16] +coeff18*table[1][17]
+coeff19*table[1][18] +coeff20*table[1][19] +coeff21*table[1][20]
+coeff22*table[1][21] +coeff23*table[1][22] +coeff24*table[1][23]
+coeff25*table[1][24] +coeff26*table[1][25] +coeff27*table[1][26]
+coeff28*table[1][27] +coeff29*table[1][28] +coeff30*table[1][29]
+coeff31*table[1][30] +coeff32*table[1][31] +coeff33*table[1][32]
+coeff34*table[1][33] +coeff35*table[1][34] ;


[...]

point500=coeff1*table[499][0] +coeff2*table[499][1] +coeff3*table[499][2]
+coeff4*table[499][3] +coeff5*table[499][4] +coeff6*table[499][5]
+coeff7*table[499][6] +coeff8*table[499][7] +coeff9*table[499][8]
+coeff10*table[499][9] +coeff11*table[499][10] +coeff12*table[499][11]
+coeff13*table[499][12] +coeff14*table[499][13] +coeff15*table[499][14]
+coeff16*table[499][15] +coeff17*table[499][16] +coeff18*table[499][17]
+coeff19*table[499][18] +coeff20*table[499][19] +coeff21*table[499][20]
+coeff22*table[499][21] +coeff23*table[499][22] +coeff24*table[499][23]
+coeff25*table[499][24] +coeff26*table[499][25] +coeff27*table[499][26]
+coeff28*table[499][27] +coeff29*table[499][28] +coeff30*table[499][29]
+coeff31*table[499][30] +coeff32*table[499][31] +coeff33*table[499][32]
+coeff34*table[499][33] +coeff35*table[499][34] ;

bruteForceSum =
point1 +
point2 + ... +

point499 +
point500
;

return bruteForceSum;

}//DoBruteForceCompute

 

[William Ryan]

Ok, I just ran it and after my IDE finished choking, I'm getting 50005000
whether I loop through it or use your code. That is the same number Excel
is giving me.

Are you getting 50005000 in your computations? From this machine, it looks
like it's working correctly.

Yes, I'm positive. I will post the exact code. Here is the test anyone can
do:
1. paste this code, compile and run. Check the result.
2. Use Excel and do the same thing and compare the result. In Excel, simply
enter 1 on row 1 and 2 on row 2, then copy down to 10000 (or whatever size
you wish). Then use the sum function to get the sum. You will see that the
C# code is vastly in error.

Here's the code (sorry, but it's long):
public double ComputeSum( )

{

// Brute force sum method

// For value = 10000

double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+ 16+ 17+
18+ 19+ 20+ 21+ 22+ 23+ 24+ 25+ 26+ 27+ 28+ 29+ 30+ 31+ 32+ 33+ 34+ 35+ 36+
37+ 38+ 39+ 40+ 41+ 42+ 43+ 44+ 45+ 46+ 47+ 48+ 49+ 50+ 51+ 52+ 53+ 54+ 55+
56+ 57+ 58+ 59+ 60+ 61+ 62+ 63+ 64+ 65+ 66+ 67+ 68+ 69+ 70+ 71+ 72+ 73+ 74+
75+ 76+ 77+ 78+ 79+ 80+ 81+ 82+ 83+ 84+ 85+ 86+ 87+ 88+ 89+ 90+ 91+ 92+ 93+
94+ 95+ 96+ 97+ 98+ 99+ 100+ 101+ 102+ 103+ 104+ 105+ 106+ 107+ 108+ 109+
110+ 111+ 112+ 113+ 114+ 115+ 116+ 117+ 118+ 119+ 120+ 121+ 122+ 123+ 124+
125+ 126+ 127+ 128+ 129+ 130+ 131+ 132+ 133+ 134+ 135+ 136+ 137+ 138+ 139+
140+ 141+ 142+ 143+ 144+ 145+ 146+ 147+ 148+ 149+ 150+ 151+ 152+ 153+ 154+
155+ 156+ 157+ 158+ 159+ 160+ 161+ 162+ 163+ 164+ 165+ 166+ 167+ 168+ 169+
170+ 171+ 172+ 173+ 174+ 175+ 176+ 177+ 178+ 179+ 180+ 181+ 182+ 183+ 184+
185+ 186+ 187+ 188+ 189+ 190+ 191+ 192+ 193+ 194+ 195+ 196+ 197+ 198+ 199+
200+ 201+ 202+ 203+ 204+ 205+ 206+ 207+ 208+ 209+ 210+ 211+ 212+ 213+ 214+
215+ 216+ 217+ 218+ 219+ 220+ 221+ 222+ 223+ 224+ 225+ 226+ 227+ 228+ 229+
230+ 231+ 232+ 233+ 234+ 235+ 236+ 237+ 238+ 239+ 240+ 241+ 242+ 243+ 244+
245+ 246+ 247+ 248+ 249+ 250+ 251+ 252+ 253+ 254+ 255+ 256+ 257+ 258+ 259+
260+ 261+ 262+ 263+ 264+ 265+ 266+ 267+ 268+ 269+ 270+ 271+ 272+ 273+ 274+
275+ 276+ 277+ 278+ 279+ 280+ 281+ 282+ 283+ 284+ 285+ 286+ 287+ 288+ 289+
290+ 291+ 292+ 293+ 294+ 295+ 296+ 297+ 298+ 299+ 300+ 301+ 302+ 303+ 304+
305+ 306+ 307+ 308+ 309+ 310+ 311+ 312+ 313+ 314+ 315+ 316+ 317+ 318+ 319+
320+ 321+ 322+ 323+ 324+ 325+ 326+ 327+ 328+ 329+ 330+ 331+ 332+ 333+ 334+
335+ 336+ 337+ 338+ 339+ 340+ 341+ 342+ 343+ 344+ 345+ 346+ 347+ 348+ 349+
350+ 351+ 352+ 353+ 354+ 355+ 356+ 357+ 358+ 359+ 360+ 361+ 362+ 363+ 364+
365+ 366+ 367+ 368+ 369+ 370+ 371+ 372+ 373+ 374+ 375+ 376+ 377+ 378+ 379+
380+ 381+ 382+ 383+ 384+ 385+ 386+ 387+ 388+ 389+ 390+ 391+ 392+ 393+ 394+
395+ 396+ 397+ 398+ 399+ 400+ 401+ 402+ 403+ 404+ 405+ 406+ 407+ 408+ 409+
410+ 411+ 412+ 413+ 414+ 415+ 416+ 417+ 418+ 419+ 420+ 421+ 422+ 423+ 424+
425+ 426+ 427+ 428+ 429+ 430+ 431+ 432+ 433+ 434+ 435+ 436+ 437+ 438+ 439+
440+ 441+ 442+ 443+ 444+ 445+ 446+ 447+ 448+ 449+ 450+ 451+ 452+ 453+ 454+
455+ 456+ 457+ 458+ 459+ 460+ 461+ 462+ 463+ 464+ 465+ 466+ 467+ 468+ 469+
470+ 471+ 472+ 473+ 474+ 475+ 476+ 477+ 478+ 479+ 480+ 481+ 482+ 483+ 484+
485+ 486+ 487+ 488+ 489+ 490+ 491+ 492+ 493+ 494+ 495+ 496+ 497+ 498+ 499+
500+ 501+ 502+ 503+ 504+ 505+ 506+ 507+ 508+ 509+ 510+ 511+ 512+ 513+ 514+
515+ 516+ 517+ 518+ 519+ 520+ 521+ 522+ 523+ 524+ 525+ 526+ 527+ 528+ 529+
530+ 531+ 532+ 533+ 534+ 535+ 536+ 537+ 538+ 539+ 540+ 541+ 542+ 543+ 544+
545+ 546+ 547+ 548+ 549+ 550+ 551+ 552+ 553+ 554+ 555+ 556+ 557+ 558+ 559+
560+ 561+ 562+ 563+ 564+ 565+ 566+ 567+ 568+ 569+ 570+ 571+ 572+ 573+ 574+
575+ 576+ 577+ 578+ 579+ 580+ 581+ 582+ 583+ 584+ 585+ 586+ 587+ 588+ 589+
590+ 591+ 592+ 593+ 594+ 595+ 596+ 597+ 598+ 599+ 600+ 601+ 602+ 603+ 604+
605+ 606+ 607+ 608+ 609+ 610+ 611+ 612+ 613+ 614+ 615+ 616+ 617+ 618+ 619+
620+ 621+ 622+ 623+ 624+ 625+ 626+ 627+ 628+ 629+ 630+ 631+ 632+ 633+ 634+
635+ 636+ 637+ 638+ 639+ 640+ 641+ 642+ 643+ 644+ 645+ 646+ 647+ 648+ 649+
650+ 651+ 652+ 653+ 654+ 655+ 656+ 657+ 658+ 659+ 660+ 661+ 662+ 663+ 664+
665+ 666+ 667+ 668+ 669+ 670+ 671+ 672+ 673+ 674+ 675+ 676+ 677+ 678+ 679+
680+ 681+ 682+ 683+ 684+ 685+ 686+ 687+ 688+ 689+ 690+ 691+ 692+ 693+ 694+
695+ 696+ 697+ 698+ 699+ 700+ 701+ 702+ 703+ 704+ 705+ 706+ 707+ 708+ 709+
710+ 711+ 712+ 713+ 714+ 715+ 716+ 717+ 718+ 719+ 720+ 721+ 722+ 723+ 724+
725+ 726+ 727+ 728+ 729+ 730+ 731+ 732+ 733+ 734+ 735+ 736+ 737+ 738+ 739+
740+ 741+ 742+ 743+ 744+ 745+ 746+ 747+ 748+ 749+ 750+ 751+ 752+ 753+ 754+
755+ 756+ 757+ 758+ 759+ 760+ 761+ 762+ 763+ 764+ 765+ 766+ 767+ 768+ 769+
770+ 771+ 772+ 773+ 774+ 775+ 776+ 777+ 778+ 779+ 780+ 781+ 782+ 783+ 784+
785+ 786+ 787+ 788+ 789+ 790+ 791+ 792+ 793+ 794+ 795+ 796+ 797+ 798+ 799+
800+ 801+ 802+ 803+ 804+ 805+ 806+ 807+ 808+ 809+ 810+ 811+ 812+ 813+ 814+
815+ 816+ 817+ 818+ 819+ 820+ 821+ 822+ 823+ 824+ 825+ 826+ 827+ 828+ 829+
830+ 831+ 832+ 833+ 834+ 835+ 836+ 837+ 838+ 839+ 840+ 841+ 842+ 843+ 844+
845+ 846+ 847+ 848+ 849+ 850+ 851+ 852+ 853+ 854+ 855+ 856+ 857+ 858+ 859+
860+ 861+ 862+ 863+ 864+ 865+ 866+ 867+ 868+ 869+ 870+ 871+ 872+ 873+ 874+
875+ 876+ 877+ 878+ 879+ 880+ 881+ 882+ 883+ 884+ 885+ 886+ 887+ 888+ 889+
890+ 891+ 892+ 893+ 894+ 895+ 896+ 897+ 898+ 899+ 900+ 901+ 902+ 903+ 904+
905+ 906+ 907+ 908+ 909+ 910+ 911+ 912+ 913+ 914+ 915+ 916+ 917+ 918+ 919+
920+ 921+ 922+ 923+ 924+ 925+ 926+ 927+ 928+ 929+ 930+ 931+ 932+ 933+ 934+
935+ 936+ 937+ 938+ 939+ 940+ 941+ 942+ 943+ 944+ 945+ 946+ 947+ 948+ 949+
950+ 951+ 952+ 953+ 954+ 955+ 956+ 957+ 958+ 959+ 960+ 961+ 962+ 963+ 964+
965+ 966+ 967+ 968+ 969+ 970+ 971+ 972+ 973+ 974+ 975+ 976+ 977+ 978+ 979+
980+ 981+ 982+ 983+ 984+ 985+ 986+ 987+ 988+ 989+ 990+ 991+ 992+ 993+ 994+
995+ 996+ 997+ 998+ 999+ 1000+ 1001+ 1002+ 1003+ 1004+ 1005+ 1006+ 1007+
1008+ 1009+ 1010+ 1011+ 1012+ 1013+ 1014+ 1015+ 1016+ 1017+ 1018+ 1019+
1020+ 1021+ 1022+ 1023+ 1024+ 1025+ 1026+ 1027+ 1028+ 1029+ 1030+ 1031+
1032+ 1033+ 1034+ 1035+ 1036+ 1037+ 1038+ 1039+ 1040+ 1041+ 1042+ 1043+
1044+ 1045+ 1046+ 1047+ 1048+ 1049+ 1050+ 1051+ 1052+ 1053+ 1054+ 1055+
1056+ 1057+ 1058+ 1059+ 1060+ 1061+ 1062+ 1063+ 1064+ 1065+ 1066+ 1067+
1068+ 1069+ 1070+ 1071+ 1072+ 1073+ 1074+ 1075+ 1076+ 1077+ 1078+ 1079+
1080+ 1081+ 1082+ 1083+ 1084+ 1085+ 1086+ 1087+ 1088+ 1089+ 1090+ 1091+
1092+ 1093+ 1094+ 1095+ 1096+ 1097+ 1098+ 1099+ 1100+ 1101+ 1102+ 1103+
1104+ 1105+ 1106+ 1107+ 1108+ 1109+ 1110+ 1111+ 1112+ 1113+ 1114+ 1115+
1116+ 1117+ 1118+ 1119+ 1120+ 1121+ 1122+ 1123+ 1124+ 1125+ 1126+ 1127+
1128+ 1129+ 1130+ 1131+ 1132+ 1133+ 1134+ 1135+ 1136+ 1137+ 1138+ 1139+
1140+ 1141+ 1142+ 1143+ 1144+ 1145+ 1146+ 1147+ 1148+ 1149+ 1150+ 1151+
1152+ 1153+ 1154+ 1155+ 1156+ 1157+ 1158+ 1159+ 1160+ 1161+ 1162+ 1163+
1164+ 1165+ 1166+ 1167+ 1168+ 1169+ 1170+ 1171+ 1172+ 1173+ 1174+ 1175+
1176+ 1177+ 1178+ 1179+ 1180+ 1181+ 1182+ 1183+ 1184+ 1185+ 1186+ 1187+
1188+ 1189+ 1190+ 1191+ 1192+ 1193+ 1194+ 1195+ 1196+ 1197+ 1198+ 1199+
1200+ 1201+ 1202+ 1203+ 1204+ 1205+ 1206+ 1207+ 1208+ 1209+ 1210+ 1211+
1212+ 1213+ 1214+ 1215+ 1216+ 1217+ 1218+ 1219+ 1220+ 1221+ 1222+ 1223+
1224+ 1225+ 1226+ 1227+ 1228+ 1229+ 1230+ 1231+ 1232+ 1233+ 1234+ 1235+
1236+ 1237+ 1238+ 1239+ 1240+ 1241+ 1242+ 1243+ 1244+ 1245+ 1246+ 1247+
1248+ 1249+ 1250+ 1251+ 1252+ 1253+ 1254+ 1255+ 1256+ 1257+ 1258+ 1259+
1260+ 1261+ 1262+ 1263+ 1264+ 1265+ 1266+ 1267+ 1268+ 1269+ 1270+ 1271+
1272+ 1273+ 1274+ 1275+ 1276+ 1277+ 1278+ 1279+ 1280+ 1281+ 1282+ 1283+
1284+ 1285+ 1286+ 1287+ 1288+ 1289+ 1290+ 1291+ 1292+ 1293+ 1294+ 1295+
1296+ 1297+ 1298+ 1299+ 1300+ 1301+ 1302+ 1303+ 1304+ 1305+ 1306+ 1307+
1308+ 1309+ 1310+ 1311+ 1312+ 1313+ 1314+ 1315+ 1316+ 1317+ 1318+ 1319+
1320+ 1321+ 1322+ 1323+ 1324+ 1325+ 1326+ 1327+ 1328+ 1329+ 1330+ 1331+
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9072+ 9073+ 9074+ 9075+ 9076+ 9077+ 9078+ 9079+ 9080+ 9081+ 9082+ 9083+
9084+ 9085+ 9086+ 9087+ 9088+ 9089+ 9090+ 9091+ 9092+ 9093+ 9094+ 9095+
9096+ 9097+ 9098+ 9099+ 9100+ 9101+ 9102+ 9103+ 9104+ 9105+ 9106+ 9107+
9108+ 9109+ 9110+ 9111+ 9112+ 9113+ 9114+ 9115+ 9116+ 9117+ 9118+ 9119+
9120+ 9121+ 9122+ 9123+ 9124+ 9125+ 9126+ 9127+ 9128+ 9129+ 9130+ 9131+
9132+ 9133+ 9134+ 9135+ 9136+ 9137+ 9138+ 9139+ 9140+ 9141+ 9142+ 9143+
9144+ 9145+ 9146+ 9147+ 9148+ 9149+ 9150+ 9151+ 9152+ 9153+ 9154+ 9155+
9156+ 9157+ 9158+ 9159+ 9160+ 9161+ 9162+ 9163+ 9164+ 9165+ 9166+ 9167+
9168+ 9169+ 9170+ 9171+ 9172+ 9173+ 9174+ 9175+ 9176+ 9177+ 9178+ 9179+
9180+ 9181+ 9182+ 9183+ 9184+ 9185+ 9186+ 9187+ 9188+ 9189+ 9190+ 9191+
9192+ 9193+ 9194+ 9195+ 9196+ 9197+ 9198+ 9199+ 9200+ 9201+ 9202+ 9203+
9204+ 9205+ 9206+ 9207+ 9208+ 9209+ 9210+ 9211+ 9212+ 9213+ 9214+ 9215+
9216+ 9217+ 9218+ 9219+ 9220+ 9221+ 9222+ 9223+ 9224+ 9225+ 9226+ 9227+
9228+ 9229+ 9230+ 9231+ 9232+ 9233+ 9234+ 9235+ 9236+ 9237+ 9238+ 9239+
9240+ 9241+ 9242+ 9243+ 9244+ 9245+ 9246+ 9247+ 9248+ 9249+ 9250+ 9251+
9252+ 9253+ 9254+ 9255+ 9256+ 9257+ 9258+ 9259+ 9260+ 9261+ 9262+ 9263+
9264+ 9265+ 9266+ 9267+ 9268+ 9269+ 9270+ 9271+ 9272+ 9273+ 9274+ 9275+
9276+ 9277+ 9278+ 9279+ 9280+ 9281+ 9282+ 9283+ 9284+ 9285+ 9286+ 9287+
9288+ 9289+ 9290+ 9291+ 9292+ 9293+ 9294+ 9295+ 9296+ 9297+ 9298+ 9299+
9300+ 9301+ 9302+ 9303+ 9304+ 9305+ 9306+ 9307+ 9308+ 9309+ 9310+ 9311+
9312+ 9313+ 9314+ 9315+ 9316+ 9317+ 9318+ 9319+ 9320+ 9321+ 9322+ 9323+
9324+ 9325+ 9326+ 9327+ 9328+ 9329+ 9330+ 9331+ 9332+ 9333+ 9334+ 9335+
9336+ 9337+ 9338+ 9339+ 9340+ 9341+ 9342+ 9343+ 9344+ 9345+ 9346+ 9347+
9348+ 9349+ 9350+ 9351+ 9352+ 9353+ 9354+ 9355+ 9356+ 9357+ 9358+ 9359+
9360+ 9361+ 9362+ 9363+ 9364+ 9365+ 9366+ 9367+ 9368+ 9369+ 9370+ 9371+
9372+ 9373+ 9374+ 9375+ 9376+ 9377+ 9378+ 9379+ 9380+ 9381+ 9382+ 9383+
9384+ 9385+ 9386+ 9387+ 9388+ 9389+ 9390+ 9391+ 9392+ 9393+ 9394+ 9395+
9396+ 9397+ 9398+ 9399+ 9400+ 9401+ 9402+ 9403+ 9404+ 9405+ 9406+ 9407+
9408+ 9409+ 9410+ 9411+ 9412+ 9413+ 9414+ 9415+ 9416+ 9417+ 9418+ 9419+
9420+ 9421+ 9422+ 9423+ 9424+ 9425+ 9426+ 9427+ 9428+ 9429+ 9430+ 9431+
9432+ 9433+ 9434+ 9435+ 9436+ 9437+ 9438+ 9439+ 9440+ 9441+ 9442+ 9443+
9444+ 9445+ 9446+ 9447+ 9448+ 9449+ 9450+ 9451+ 9452+ 9453+ 9454+ 9455+
9456+ 9457+ 9458+ 9459+ 9460+ 9461+ 9462+ 9463+ 9464+ 9465+ 9466+ 9467+
9468+ 9469+ 9470+ 9471+ 9472+ 9473+ 9474+ 9475+ 9476+ 9477+ 9478+ 9479+
9480+ 9481+ 9482+ 9483+ 9484+ 9485+ 9486+ 9487+ 9488+ 9489+ 9490+ 9491+
9492+ 9493+ 9494+ 9495+ 9496+ 9497+ 9498+ 9499+ 9500+ 9501+ 9502+ 9503+
9504+ 9505+ 9506+ 9507+ 9508+ 9509+ 9510+ 9511+ 9512+ 9513+ 9514+ 9515+
9516+ 9517+ 9518+ 9519+ 9520+ 9521+ 9522+ 9523+ 9524+ 9525+ 9526+ 9527+
9528+ 9529+ 9530+ 9531+ 9532+ 9533+ 9534+ 9535+ 9536+ 9537+ 9538+ 9539+
9540+ 9541+ 9542+ 9543+ 9544+ 9545+ 9546+ 9547+ 9548+ 9549+ 9550+ 9551+
9552+ 9553+ 9554+ 9555+ 9556+ 9557+ 9558+ 9559+ 9560+ 9561+ 9562+ 9563+
9564+ 9565+ 9566+ 9567+ 9568+ 9569+ 9570+ 9571+ 9572+ 9573+ 9574+ 9575+
9576+ 9577+ 9578+ 9579+ 9580+ 9581+ 9582+ 9583+ 9584+ 9585+ 9586+ 9587+
9588+ 9589+ 9590+ 9591+ 9592+ 9593+ 9594+ 9595+ 9596+ 9597+ 9598+ 9599+
9600+ 9601+ 9602+ 9603+ 9604+ 9605+ 9606+ 9607+ 9608+ 9609+ 9610+ 9611+
9612+ 9613+ 9614+ 9615+ 9616+ 9617+ 9618+ 9619+ 9620+ 9621+ 9622+ 9623+
9624+ 9625+ 9626+ 9627+ 9628+ 9629+ 9630+ 9631+ 9632+ 9633+ 9634+ 9635+
9636+ 9637+ 9638+ 9639+ 9640+ 9641+ 9642+ 9643+ 9644+ 9645+ 9646+ 9647+
9648+ 9649+ 9650+ 9651+ 9652+ 9653+ 9654+ 9655+ 9656+ 9657+ 9658+ 9659+
9660+ 9661+ 9662+ 9663+ 9664+ 9665+ 9666+ 9667+ 9668+ 9669+ 9670+ 9671+
9672+ 9673+ 9674+ 9675+ 9676+ 9677+ 9678+ 9679+ 9680+ 9681+ 9682+ 9683+
9684+ 9685+ 9686+ 9687+ 9688+ 9689+ 9690+ 9691+ 9692+ 9693+ 9694+ 9695+
9696+ 9697+ 9698+ 9699+ 9700+ 9701+ 9702+ 9703+ 9704+ 9705+ 9706+ 9707+
9708+ 9709+ 9710+ 9711+ 9712+ 9713+ 9714+ 9715+ 9716+ 9717+ 9718+ 9719+
9720+ 9721+ 9722+ 9723+ 9724+ 9725+ 9726+ 9727+ 9728+ 9729+ 9730+ 9731+
9732+ 9733+ 9734+ 9735+ 9736+ 9737+ 9738+ 9739+ 9740+ 9741+ 9742+ 9743+
9744+ 9745+ 9746+ 9747+ 9748+ 9749+ 9750+ 9751+ 9752+ 9753+ 9754+ 9755+
9756+ 9757+ 9758+ 9759+ 9760+ 9761+ 9762+ 9763+ 9764+ 9765+ 9766+ 9767+
9768+ 9769+ 9770+ 9771+ 9772+ 9773+ 9774+ 9775+ 9776+ 9777+ 9778+ 9779+
9780+ 9781+ 9782+ 9783+ 9784+ 9785+ 9786+ 9787+ 9788+ 9789+ 9790+ 9791+
9792+ 9793+ 9794+ 9795+ 9796+ 9797+ 9798+ 9799+ 9800+ 9801+ 9802+ 9803+
9804+ 9805+ 9806+ 9807+ 9808+ 9809+ 9810+ 9811+ 9812+ 9813+ 9814+ 9815+
9816+ 9817+ 9818+ 9819+ 9820+ 9821+ 9822+ 9823+ 9824+ 9825+ 9826+ 9827+
9828+ 9829+ 9830+ 9831+ 9832+ 9833+ 9834+ 9835+ 9836+ 9837+ 9838+ 9839+
9840+ 9841+ 9842+ 9843+ 9844+ 9845+ 9846+ 9847+ 9848+ 9849+ 9850+ 9851+
9852+ 9853+ 9854+ 9855+ 9856+ 9857+ 9858+ 9859+ 9860+ 9861+ 9862+ 9863+
9864+ 9865+ 9866+ 9867+ 9868+ 9869+ 9870+ 9871+ 9872+ 9873+ 9874+ 9875+
9876+ 9877+ 9878+ 9879+ 9880+ 9881+ 9882+ 9883+ 9884+ 9885+ 9886+ 9887+
9888+ 9889+ 9890+ 9891+ 9892+ 9893+ 9894+ 9895+ 9896+ 9897+ 9898+ 9899+
9900+ 9901+ 9902+ 9903+ 9904+ 9905+ 9906+ 9907+ 9908+ 9909+ 9910+ 9911+
9912+ 9913+ 9914+ 9915+ 9916+ 9917+ 9918+ 9919+ 9920+ 9921+ 9922+ 9923+
9924+ 9925+ 9926+ 9927+ 9928+ 9929+ 9930+ 9931+ 9932+ 9933+ 9934+ 9935+
9936+ 9937+ 9938+ 9939+ 9940+ 9941+ 9942+ 9943+ 9944+ 9945+ 9946+ 9947+
9948+ 9949+ 9950+ 9951+ 9952+ 9953+ 9954+ 9955+ 9956+ 9957+ 9958+ 9959+
9960+ 9961+ 9962+ 9963+ 9964+ 9965+ 9966+ 9967+ 9968+ 9969+ 9970+ 9971+
9972+ 9973+ 9974+ 9975+ 9976+ 9977+ 9978+ 9979+ 9980+ 9981+ 9982+ 9983+
9984+ 9985+ 9986+ 9987+ 9988+ 9989+ 9990+ 9991+ 9992+ 9993+ 9994+ 9995+
9996+ 9997+ 9998+ 9999+ 10000;

return sum;

}

I just did it going with 200 Hard coded ints, then 390, then 300. Each time
I got the correct results. Are you positive of the input numbers? I know
that's a stupid question, but I first did each one by loading them into an
Int Array and adding them like that. It worked. Then I actually used
straight hard coding, and I used the number 10 each time and added

100000

to
the last one for good measure (just to make sure the value I had was
similarly high). No problems whatsoever. Inasmuch as you can load those
values in an array and iterate it successfully, couldn't you just load the
array and use an iterative approach? I understand that's what you are
asking about...why should you have to do this, but it's probably easier than
verifying the math each time when you know it will work. If I can find
anything, I'll repost.

HTH,

Bill

Take some standard code such as shown below. It simply loops to add up a
series of terms and it produces the correct result.

// sum numbers with a loop
public int DoSumLooping(int iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i++)
{
result += i;
}
return result;
}

Now translate this into a specific solution that doesn't use looping (and
use the same value for the number of iterations the loop performs). This
code returns an incorrect result. The method consists entirely of a very
straightforward code statement, but in this case .NET adds the numbers
incorrectly.
public double ComputeSum( )
{
// Brute force sum method
// For iterations == 10000
double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+

15+
...

+ 9997+ 9998+ 9999+ 10000;
return sum;
}
The above method returns an incorrect result with any number of terms above
about 200. It will correctly add 1 + 2 + ... + 200, but it will NOT
correctly add 1 + 2 + ... + 1000.

I have just run across this, and I have not yet researched the possible
reasons for this behavior. It may be a known issue related to either stack
size or the length of a code line, but to my knowledge it hasn't been
discussed in any of the "popular" literature on C# and .NET. I need to write
code like this, so if anyone has already encountered this issue, please
advise me.


Here's another example that also creates problems, but of a somewhat
different nature. Take the following code and translate it into a specific,
non-looping method and try to execute it using reflection. It fails.

public double LoopToCompute()
{
double sumOfProducts = 0;
double grandTotal = 0;
for (int i = 0; i < maxRows; ++i)
{
for (int j = 0; j < maxCols; ++j)
{
sumOfProducts += coeff[j] * table[j];
}
a_point = sumOfProducts;
grandTotal += sumOfProducts;
sumOfProducts = 0;
}
return grandTotal;
}//LoopToCompute

The above code works -- but it's equivalent code with loops unrolled (shown
below) doesn't work unless the maxRows is set very small. For small values,
the 2 methods (above and below) produce identical results. There is nothing
"wrong" with the code in that sense. It's similar to the above

situation.

If
the "size" of the code statement or the number of code statements is too
large, .NET fails. In this case (using reflection) it doesn't return the
incorrect result, as the first example did. In this case, reflection calls
it an invalid program and refuses to run it (but only when the value of
maxRows is above about 250). The reason for this is probably
straightforward. However, I have the need to make statements like this for
performance reasons so I need a work-around. Any suggestions are
appreciated! All comments are appreciated.

public double DoBruteForceCompute()
{
double bruteForceSum = 0;

point1=coeff1*table[0][0] +coeff2*table[0][1] +coeff3*table[0][2]
+coeff4*table[0][3] +coeff5*table[0][4] +coeff6*table[0][5]
+coeff7*table[0][6] +coeff8*table[0][7] +coeff9*table[0][8]
+coeff10*table[0][9] +coeff11*table[0][10] +coeff12*table[0][11]
+coeff13*table[0][12] +coeff14*table[0][13] +coeff15*table[0][14]
+coeff16*table[0][15] +coeff17*table[0][16] +coeff18*table[0][17]
+coeff19*table[0][18] +coeff20*table[0][19] +coeff21*table[0][20]
+coeff22*table[0][21] +coeff23*table[0][22] +coeff24*table[0][23]
+coeff25*table[0][24] +coeff26*table[0][25] +coeff27*table[0][26]
+coeff28*table[0][27] +coeff29*table[0][28] +coeff30*table[0][29]
+coeff31*table[0][30] +coeff32*table[0][31] +coeff33*table[0][32]
+coeff34*table[0][33] +coeff35*table[0][34] ;

point2=coeff1*table[1][0] +coeff2*table[1][1] +coeff3*table[1][2]
+coeff4*table[1][3] +coeff5*table[1][4] +coeff6*table[1][5]
+coeff7*table[1][6] +coeff8*table[1][7] +coeff9*table[1][8]
+coeff10*table[1][9] +coeff11*table[1][10] +coeff12*table[1][11]
+coeff13*table[1][12] +coeff14*table[1][13] +coeff15*table[1][14]
+coeff16*table[1][15] +coeff17*table[1][16] +coeff18*table[1][17]
+coeff19*table[1][18] +coeff20*table[1][19] +coeff21*table[1][20]
+coeff22*table[1][21] +coeff23*table[1][22] +coeff24*table[1][23]
+coeff25*table[1][24] +coeff26*table[1][25] +coeff27*table[1][26]
+coeff28*table[1][27] +coeff29*table[1][28] +coeff30*table[1][29]
+coeff31*table[1][30] +coeff32*table[1][31] +coeff33*table[1][32]
+coeff34*table[1][33] +coeff35*table[1][34] ;


[...]

point500=coeff1*table[499][0] +coeff2*table[499][1] +coeff3*table[499][2]
+coeff4*table[499][3] +coeff5*table[499][4] +coeff6*table[499][5]
+coeff7*table[499][6] +coeff8*table[499][7] +coeff9*table[499][8]
+coeff10*table[499][9] +coeff11*table[499][10] +coeff12*table[499][11]
+coeff13*table[499][12] +coeff14*table[499][13] +coeff15*table[499][14]
+coeff16*table[499][15] +coeff17*table[499][16] +coeff18*table[499][17]
+coeff19*table[499][18] +coeff20*table[499][19] +coeff21*table[499][20]
+coeff22*table[499][21] +coeff23*table[499][22] +coeff24*table[499][23]
+coeff25*table[499][24] +coeff26*table[499][25] +coeff27*table[499][26]
+coeff28*table[499][27] +coeff29*table[499][28] +coeff30*table[499][29]
+coeff31*table[499][30] +coeff32*table[499][31] +coeff33*table[499][32]
+coeff34*table[499][33] +coeff35*table[499][34] ;

bruteForceSum =
point1 +
point2 + ... +

point499 +
point500
;

return bruteForceSum;

}//DoBruteForceCompute

 

[Jon Skeet [C# MVP]]

[Removed microsoft.public.dotnet.csharp.general which isn't a valid
group, at least not on the MS server.]

Take some standard code such as shown below. It simply loops to add up a
series of terms and it produces the correct result.

// sum numbers with a loop
public int DoSumLooping(int iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i++)
{
result += i;
}
return result;
}

Now translate this into a specific solution that doesn't use looping (and
use the same value for the number of iterations the loop performs). This
code returns an incorrect result.

Not for me it doesn't (going up to 10000). Could you produce a
*complete* example somewhere which gives the incorrect result, either
posting it or giving a link to it on the web?

 

[Mountain Bikn' Guy]

Wow, that's interesting. And I appreciate you checking the code I pasted. I
get 50005000 in Excel and the same with the loop. When I run the unrolled
code I always get 5050. If you aren't reproducing the problem, and the code
I pasted gave you correct results, then maybe the problem is related to my
machine or my installation of the framework... very strange. (BTW, I'm doing
this on a dual Xeon with 4GB of RAM and VS.NET 2003 on W2K).

Any other comments are appreciated.

 

[Jon Skeet [C# MVP]]

[Removed microsoft.public.dotnet.csharp.general which isn't a valid
group, at least not on the MS server.]

Yes, I'm positive. I will post the exact code. Here is the test anyone can
do:
1. paste this code, compile and run. Check the result.

Yup: 50005000, which is the correct amount.

2. Use Excel and do the same thing and compare the result. In Excel, simply
enter 1 on row 1 and 2 on row 2, then copy down to 10000 (or whatever size
you wish). Then use the sum function to get the sum. You will see that the
C# code is vastly in error.

Nope - what result do you get from the C#?

 

[Jhon]

Funny. Now, can we get back to the issue? This is fundamentally about
reflection emit and specific, optimized solutions to any problem.

Yes I could smell that
Funny, optimized solutions to any problem

Dave

Hi,

Maybe not the issue, tough it unwinds the loop, the sum of the first n
consecutive numbers:

(n+1)*n
= ---------
2

Greetings

Take some standard code such as shown below. It simply loops to add up a
series of terms and it produces the correct result.

// sum numbers with a loop
public int DoSumLooping(int iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i++)
{
result += i;
}
return result;
}

Now translate this into a specific solution that doesn't use looping (and
use the same value for the number of iterations the loop performs). This
code returns an incorrect result. The method consists entirely of a very
straightforward code statement, but in this case .NET adds the numbers
incorrectly.
public double ComputeSum( )
{
// Brute force sum method
// For iterations == 10000
double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+

15+
...

+ 9997+ 9998+ 9999+ 10000;
return sum;
}
The above method returns an incorrect result with any number of terms above
about 200. It will correctly add 1 + 2 + ... + 200, but it will NOT
correctly add 1 + 2 + ... + 1000.

I have just run across this, and I have not yet researched the possible
reasons for this behavior. It may be a known issue related to either stack
size or the length of a code line, but to my knowledge it hasn't been
discussed in any of the "popular" literature on C# and .NET. I need to write
code like this, so if anyone has already encountered this issue, please
advise me.


Here's another example that also creates problems, but of a somewhat
different nature. Take the following code and translate it into a specific,
non-looping method and try to execute it using reflection. It fails.

public double LoopToCompute()
{
double sumOfProducts = 0;
double grandTotal = 0;
for (int i = 0; i < maxRows; ++i)
{
for (int j = 0; j < maxCols; ++j)
{
sumOfProducts += coeff[j] * table[j];
}
a_point = sumOfProducts;
grandTotal += sumOfProducts;
sumOfProducts = 0;
}
return grandTotal;
}//LoopToCompute

The above code works -- but it's equivalent code with loops unrolled (shown
below) doesn't work unless the maxRows is set very small. For small values,
the 2 methods (above and below) produce identical results. There is nothing
"wrong" with the code in that sense. It's similar to the above

situation.

If
the "size" of the code statement or the number of code statements is too
large, .NET fails. In this case (using reflection) it doesn't return the
incorrect result, as the first example did. In this case, reflection calls
it an invalid program and refuses to run it (but only when the value of
maxRows is above about 250). The reason for this is probably
straightforward. However, I have the need to make statements like this for
performance reasons so I need a work-around. Any suggestions are
appreciated! All comments are appreciated.

public double DoBruteForceCompute()
{
double bruteForceSum = 0;

point1=coeff1*table[0][0] +coeff2*table[0][1] +coeff3*table[0][2]
+coeff4*table[0][3] +coeff5*table[0][4] +coeff6*table[0][5]
+coeff7*table[0][6] +coeff8*table[0][7] +coeff9*table[0][8]
+coeff10*table[0][9] +coeff11*table[0][10] +coeff12*table[0][11]
+coeff13*table[0][12] +coeff14*table[0][13] +coeff15*table[0][14]
+coeff16*table[0][15] +coeff17*table[0][16] +coeff18*table[0][17]
+coeff19*table[0][18] +coeff20*table[0][19] +coeff21*table[0][20]
+coeff22*table[0][21] +coeff23*table[0][22] +coeff24*table[0][23]
+coeff25*table[0][24] +coeff26*table[0][25] +coeff27*table[0][26]
+coeff28*table[0][27] +coeff29*table[0][28] +coeff30*table[0][29]
+coeff31*table[0][30] +coeff32*table[0][31] +coeff33*table[0][32]
+coeff34*table[0][33] +coeff35*table[0][34] ;

point2=coeff1*table[1][0] +coeff2*table[1][1] +coeff3*table[1][2]
+coeff4*table[1][3] +coeff5*table[1][4] +coeff6*table[1][5]
+coeff7*table[1][6] +coeff8*table[1][7] +coeff9*table[1][8]
+coeff10*table[1][9] +coeff11*table[1][10] +coeff12*table[1][11]
+coeff13*table[1][12] +coeff14*table[1][13] +coeff15*table[1][14]
+coeff16*table[1][15] +coeff17*table[1][16] +coeff18*table[1][17]
+coeff19*table[1][18] +coeff20*table[1][19] +coeff21*table[1][20]
+coeff22*table[1][21] +coeff23*table[1][22] +coeff24*table[1][23]
+coeff25*table[1][24] +coeff26*table[1][25] +coeff27*table[1][26]
+coeff28*table[1][27] +coeff29*table[1][28] +coeff30*table[1][29]
+coeff31*table[1][30] +coeff32*table[1][31] +coeff33*table[1][32]
+coeff34*table[1][33] +coeff35*table[1][34] ;


[...]

point500=coeff1*table[499][0] +coeff2*table[499][1] +coeff3*table[499][2]
+coeff4*table[499][3] +coeff5*table[499][4] +coeff6*table[499][5]
+coeff7*table[499][6] +coeff8*table[499][7] +coeff9*table[499][8]
+coeff10*table[499][9] +coeff11*table[499][10] +coeff12*table[499][11]
+coeff13*table[499][12] +coeff14*table[499][13] +coeff15*table[499][14]
+coeff16*table[499][15] +coeff17*table[499][16] +coeff18*table[499][17]
+coeff19*table[499][18] +coeff20*table[499][19] +coeff21*table[499][20]
+coeff22*table[499][21] +coeff23*table[499][22] +coeff24*table[499][23]
+coeff25*table[499][24] +coeff26*table[499][25] +coeff27*table[499][26]
+coeff28*table[499][27] +coeff29*table[499][28] +coeff30*table[499][29]
+coeff31*table[499][30] +coeff32*table[499][31] +coeff33*table[499][32]
+coeff34*table[499][33] +coeff35*table[499][34] ;

bruteForceSum =
point1 +
point2 + ... +

point499 +
point500
;

return bruteForceSum;

}//DoBruteForceCompute

 

[Mountain Bikn' Guy]

Jon,
I will work on a complete example. I think I made an assumption about where
the problem was coming from and simplified my posting too much. I'm actually
generating the specific "unrolled" code in code, writing it out, compiling
it, and using reflection to invoke the object. Now I'm guessing the problem
lies somewhere other than C#'s inability to add. I'll have to eat my words
on that one. But I feel better knowing that this isn't a fundamental
problem and that I will probably be able to get my solution working
correctly with a bit more troubleshooting.

I'll try to make a short example showing the error and paste it here.
Dave

[Removed microsoft.public.dotnet.csharp.general which isn't a valid
group, at least not on the MS server.]

Take some standard code such as shown below. It simply loops to add up a
series of terms and it produces the correct result.

// sum numbers with a loop
public int DoSumLooping(int iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i++)
{
result += i;
}
return result;
}

Now translate this into a specific solution that doesn't use looping (and
use the same value for the number of iterations the loop performs). This
code returns an incorrect result.

Not for me it doesn't (going up to 10000). Could you produce a
*complete* example somewhere which gives the incorrect result, either
posting it or giving a link to it on the web?

 

[William Ryan]

I'm using Win2000Pro, VS2003, 1 gig or Ram (man you are lucky) and only one
processor. I've done it on an older machine as well, and I'm getting the
right results..not really sure what it can be, but definitely interested in
finding out.

 

[Chris R. Timmons]

Mountain Bikn' Guy,

I couldn't reproduce the errors you encountered. I tried both the
1.0 and 1.1 C# compilers, and tried using both ints and doubles as
return values. Could you post a complete program demonstrating the
problem?

TIA,

Chris.

 

[Mountain Bikn' Guy]

I am pasting an example that reproduces the error. I apologize for two
things in advance:
1. the code is a bit long;
2. I hard-coded paths specific to my machine.
This example comes from Programming C# by Jesse Liberty. His code wouldn't
run at all, and in the process of debugging it initially I used the
hard-coded paths and I ended up leaving them in because I got involved in
the current issue. At this point I don't want to change anything and risk
introducing new errors, so I'm posting the code as it is. Please change the
hard coded paths as required by your machine, and I apologize again for
having these hard coded paths in the file.

To set up the solution, first I create and compile a class library
containing the following interface. I set a reference to this in my main
project. I also reference it in the command line args for csc (as seen in
the main code below this).
namespace Programming_CSharp
{
public interface IComputer
{
double ComputeSum( );
}
}

Then I have another console app project containing the following code
(remember to reference the class library containing the above interface). It
should run and I would assume it will produce the incorrect results for
others, as it does for me -- and as shown in my screen shot attached to
another message in this thread.

// Example 18-10 of Programming C# by Liberty: Dynamic invocation with
interfaces
namespace Programming_CSharp
{
using System;
using System.Diagnostics;
using System.IO;
using System.Reflection;
using System.Runtime.InteropServices; // provides RuntimeEnvironment
// used to benchmark the looping approach
public class MyMath
{
// sum numbers with a loop
public int DoSumLooping(int iterations)
{
int result = 0;
for(int i = 1;i <=iterations;i++)
{
result += i;
}
return result;
}
public double CheckMyResults( )
{
// Brute force sum method
// For value = 10000
double sum = 0+ 1+ 2+ 3+ 4+ 5+ 6+ 7+ 8+ 9+ 10+ 11+ 12+ 13+ 14+ 15+ 16+ 17+
18+ 19+ 20+ 21+ 22+ 23+ 24+ 25+ 26+ 27+ 28+ 29+ 30+ 31+ 32+ 33+ 34+ 35+ 36+
37+ 38+ 39+ 40+ 41+ 42+ 43+ 44+ 45+ 46+ 47+ 48+ 49+ 50+ 51+ 52+ 53+ 54+ 55+
56+ 57+ 58+ 59+ 60+ 61+ 62+ 63+ 64+ 65+ 66+ 67+ 68+ 69+ 70+ 71+ 72+ 73+ 74+
75+ 76+ 77+ 78+ 79+ 80+ 81+ 82+ 83+ 84+ 85+ 86+ 87+ 88+ 89+ 90+ 91+ 92+ 93+
94+ 95+ 96+ 97+ 98+ 99+ 100+ 101+ 102+ 103+ 104+ 105+ 106+ 107+ 108+ 109+
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9424+ 9425+ 9426+ 9427+ 9428+ 9429+ 9430+
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9503+ 9504+ 9505+ 9506+ 9507+ 9508+ 9509+ 9510+ 9511+ 9512+ 9513+ 9514+
9515+ 9516+ 9517+ 9518+ 9519+ 9520+ 9521+ 9522+ 9523+ 9524+ 9525+ 9526+
9527+ 9528+ 9529+ 9530+ 9531+ 9532+ 9533+ 9534+ 9535+ 9536+ 9537+ 9538+
9539+ 9540+ 9541+ 9542+ 9543+ 9544+ 9545+ 9546+ 9547+ 9548+ 9549+ 9550+
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9623+ 9624+ 9625+ 9626+ 9627+ 9628+ 9629+ 9630+ 9631+ 9632+ 9633+ 9634+
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9671+ 9672+ 9673+ 9674+ 9675+ 9676+ 9677+ 9678+ 9679+ 9680+ 9681+ 9682+
9683+ 9684+ 9685+ 9686+ 9687+ 9688+ 9689+ 9690+ 9691+ 9692+ 9693+ 9694+
9695+ 9696+ 9697+ 9698+ 9699+ 9700+ 9701+ 9702+ 9703+ 9704+ 9705+ 9706+
9707+ 9708+ 9709+ 9710+ 9711+ 9712+ 9713+ 9714+ 9715+ 9716+ 9717+ 9718+
9719+ 9720+ 9721+ 9722+ 9723+ 9724+ 9725+ 9726+ 9727+ 9728+ 9729+ 9730+
9731+ 9732+ 9733+ 9734+ 9735+ 9736+ 9737+ 9738+ 9739+ 9740+ 9741+ 9742+
9743+ 9744+ 9745+ 9746+ 9747+ 9748+ 9749+
9750+ 9751+ 9752+ 9753+ 9754+ 9755+ 9756+ 9757+ 9758+ 9759+ 9760+ 9761+
9762+ 9763+ 9764+ 9765+ 9766+ 9767+ 9768+ 9769+ 9770+ 9771+ 9772+ 9773+
9774+ 9775+ 9776+ 9777+ 9778+ 9779+ 9780+ 9781+ 9782+ 9783+ 9784+ 9785+
9786+ 9787+ 9788+ 9789+ 9790+ 9791+ 9792+ 9793+ 9794+ 9795+ 9796+ 9797+
9798+ 9799+ 9800+ 9801+ 9802+ 9803+ 9804+ 9805+ 9806+ 9807+ 9808+ 9809+
9810+ 9811+ 9812+ 9813+ 9814+ 9815+ 9816+ 9817+ 9818+ 9819+ 9820+ 9821+
9822+ 9823+ 9824+ 9825+ 9826+ 9827+ 9828+ 9829+ 9830+ 9831+ 9832+ 9833+
9834+ 9835+ 9836+ 9837+ 9838+ 9839+ 9840+ 9841+ 9842+ 9843+ 9844+ 9845+
9846+ 9847+ 9848+ 9849+ 9850+ 9851+ 9852+ 9853+ 9854+ 9855+ 9856+ 9857+
9858+ 9859+ 9860+ 9861+ 9862+ 9863+ 9864+ 9865+ 9866+ 9867+ 9868+ 9869+
9870+ 9871+ 9872+ 9873+ 9874+ 9875+ 9876+ 9877+ 9878+ 9879+ 9880+ 9881+
9882+ 9883+ 9884+ 9885+ 9886+ 9887+ 9888+ 9889+ 9890+ 9891+ 9892+ 9893+
9894+ 9895+ 9896+ 9897+ 9898+ 9899+ 9900+ 9901+ 9902+ 9903+ 9904+ 9905+
9906+ 9907+ 9908+ 9909+ 9910+ 9911+ 9912+ 9913+ 9914+ 9915+ 9916+ 9917+
9918+ 9919+ 9920+ 9921+ 9922+ 9923+ 9924+ 9925+ 9926+ 9927+ 9928+ 9929+
9930+ 9931+ 9932+ 9933+ 9934+ 9935+ 9936+ 9937+ 9938+ 9939+ 9940+ 9941+
9942+ 9943+ 9944+ 9945+ 9946+ 9947+ 9948+ 9949+ 9950+ 9951+ 9952+ 9953+
9954+ 9955+ 9956+ 9957+ 9958+ 9959+ 9960+ 9961+ 9962+ 9963+ 9964+ 9965+
9966+ 9967+ 9968+ 9969+ 9970+ 9971+ 9972+ 9973+ 9974+ 9975+ 9976+ 9977+
9978+ 9979+ 9980+ 9981+ 9982+ 9983+ 9984+ 9985+ 9986+ 9987+ 9988+ 9989+
9990+ 9991+ 9992+ 9993+ 9994+ 9995+ 9996+ 9997+ 9998+ 9999+ 10000;
return sum;
}
}//MyMath
// responsible for creating the BruteForceSums
// class and compiling it and invoking the
// DoSums method dynamically
public class ReflectionTest
{
public static string fileName = "BruteForceSums";
// the public method called by the driver
public double DoSum(int theValue)
{
if (theComputer == null)
{
GenerateCode(theValue);
}
double retval = (theComputer.ComputeSum());
return retval;
}
// generate the code and compile it
private void GenerateCode(int theVal)
{
string className = "BruteForceSums";
Stream s =
File.Open(fileName + ".cs", FileMode.Create);
StreamWriter wrtr = new StreamWriter(s);
wrtr.WriteLine(
"// Dynamically created BruteForceSums class");
//open the namespace
wrtr.WriteLine("namespace Programming_CSharp {\n");
// create the class
wrtr.WriteLine(
"class {0} : Programming_CSharp.IComputer ",
className);
wrtr.WriteLine("{");
// create the method
wrtr.WriteLine("\tpublic double ComputeSum( )");
wrtr.WriteLine("\t{");
wrtr.WriteLine("\t// Brute force sum method");
wrtr.WriteLine("\t// For value = {0}", theVal);
// write the brute force additions
wrtr.Write("\tdouble sum = 0");
for (int i = 1;i<=theVal;i++)
{
wrtr.Write("+ {0}",i);
}
wrtr.WriteLine(";"); // finish method
wrtr.WriteLine("return sum;");
wrtr.WriteLine("\t}"); // end method
wrtr.WriteLine("}\n"); // end class
wrtr.WriteLine("}"); // end namespace
// close the writer and the stream
wrtr.Close( );
s.Close( );
// Build the file
ProcessStartInfo psi =
new ProcessStartInfo();
string compileString = " /optimize+ ";
compileString += "/r:" +
@"M:\WUTemp\ReflectionEmit\Example18_10\bin\Debug\IComputer.dll ";
compileString += "/target:library ";
compileString += "/out:" +
@"M:\WUTemp\ReflectionEmit\Example18_10\bin\Debug\" + fileName + ".dll ";
compileString += @"M:\WUTemp\ReflectionEmit\Example18_10\bin\Debug\";
compileString += fileName + ".cs > compile.out";
string frameworkDir = @"C:\WINNT\Microsoft.NET\Framework\v1.1.4322\";
Process proc = Process.Start(frameworkDir + "csc.exe", compileString);
Console.WriteLine(frameworkDir + "csc.exe" + compileString);
proc.WaitForExit();
Console.WriteLine("Exit Code: " + proc.ExitCode);
Assembly a = Assembly.Load(fileName);
Type BruteForceSums = a.GetType("Programming_CSharp.BruteForceSums");
object o = Activator.CreateInstance(BruteForceSums);
theComputer = (Programming_CSharp.IComputer)o;
}
IComputer theComputer = null;
}
public class TestDriver
{
public static void Main( )
{
const int val = 10000; // 1..200
const int iterations = 50;
double result = 0;
// run the benchmark
MyMath m = new MyMath( );
DateTime startTime = DateTime.Now;
for (int i = 0;i < iterations;i++)
{
result = m.DoSumLooping(val);
}
TimeSpan elapsed =
DateTime.Now - startTime;
Console.WriteLine(
"Sum of ({0}) = {1}",val, result);
Console.WriteLine(
"Looping. Elapsed milliseconds: " +
elapsed.TotalMilliseconds +
" for {0} iterations", iterations);
// run our reflection alternative
ReflectionTest t = new ReflectionTest( );
startTime = DateTime.Now;
for (int i = 0;i < iterations;i++)
{
result = t.DoSum(val);
}
elapsed = DateTime.Now - startTime;
Console.WriteLine(
"Sum of ({0}) = {1}",val, result);
Console.WriteLine(
"Brute Force. Elapsed milliseconds: " +
elapsed.TotalMilliseconds +
" for {0} iterations", iterations);
result = m.CheckMyResults();
Console.WriteLine(
"Checking brute force: Sum of ({0}) = {1}",10000, result);
Console.ReadLine();
}
}
}

 

[Mountain Bikn' Guy]

I pasted the complete program to a message in this thread just above. The
example comes from Jesse Liberty's Programming C#. The main issue/problem
seems to be reflection (which is my main interest in working with this type
of code anyway.) All I did was debug his example code so it would compile
and run, and then I added a method to check the results. The method I added
just contains the code Jesse was producing at runtime. I copied the result
into the main file and I run it without reflection. Under those conditions
it produces the correct result. When invoked via reflection it produces a
vastly incorrect result. I'm beginning to think there is an obvious solution
to this. In fact, I'm going to try putting line breaks into the generated
code to shorten the line length... I'll post the results.