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- How do I look inside an .exe file to view the programming - 1 Update
- About my multiple linear regression solver - 2 Updates
- Multiple libear regression solver 1.02 - 1 Update
| dezmynb@gmail.com: Oct 29 08:41PM -0700 You need a decompiler |
| Ramine <ramine@1.1>: Oct 29 04:51PM -0700 Hello, The multiple linear regression solver is inside the "test.pas" example inside the zipfile.. Please note that the example inside the "test.pas" have a mathematical function of 4 variables as: a5:=f(a1,a2,a3,a4) but notice that if you are using a mathematical function of 4 variables as in my example inside the test.pas source code, the 5th variable inside the mat2 matrix must be always 1, this is how my solver works, but i you have a mathmatical function of 2 variables the 3th variable inside the mat2 matrix must be always 1 , please take a look at the source code inside the "test.pas" example and you will understand , it's really easy to work with my multiple linear regression solver. And since i am using an optimized LU factorization method that uses SSE2 instructions to compute the inverse matrix, this will give a more numerically stable method to compute the inverse. Cause LU factorization is a more numerically stable method, read here: http://www.metacademy.org/graphs/concepts/lu_factorization You can download my multiple linear regression solver from: https://sites.google.com/site/aminer68/multiple-linear-regression Thank you, Amine Moulay Ramdane. |
| Ramine <ramine@1.1>: Oct 29 04:57PM -0700 Hello again... If you want to compile my multiple linear regression solver inside the "test.pas" source code with Delphi XE versions , just open the test.pas source code and change the: "uses LinMath,sysutils,math;" to "uses LinMath,system.sysutils,system.math;" That's all, Amine Moulay Ramdane. |
| Ramine <ramine@1.1>: Oct 29 04:33PM -0700 Hello, Multiple linear regression solver was updated to version 1.02 the dynamic link library called "cMatrix.dll" was enhanced and now it's really stable... And since i am using an optimized LU factorization method that uses SSE2 instructions to compute the inverse matrix, this will give a more numerically stable method to compute the inverse. Cause LU factorization is a more numerically stable method, read here: http://www.metacademy.org/graphs/concepts/lu_factorization You can download my multiple linear regression solver from: https://sites.google.com/site/aminer68/multiple-linear-regression Thank you, Amine Moulay Ramdane. |
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