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Math package for nonlinear constrained optimization, low-discrepancy sampling?
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Topic: Math package for nonlinear constrained optimization, low-discrepancy sampling? (Read 3252 times)
stephanweber
New Member
Posts: 47
Math package for nonlinear constrained optimization, low-discrepancy sampling?
«
on:
March 19, 2019, 01:27:48 pm »
Hi,
in the internet you can find many great math libs, but for these special topics I for nothing yet for Pascal. Does anybody has a hint? Or maybe a really good C++ (or c#, python, java, etc.) to Pascal converter?
Bye Stephan
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sstvmaster
Sr. Member
Posts: 299
Re: Math package for nonlinear constrained optimization, low-discrepancy sampling?
«
Reply #1 on:
March 19, 2019, 02:09:36 pm »
"Compatible with FreePascal" ->
http://www.alglib.net/download.php#delphi
Logged
greetings Maik
Windows 10,
- Lazarus 2.2.6 (stable) + fpc 3.2.2 (stable)
- Lazarus 2.2.7 (fixes) + fpc 3.3.1 (main/trunk)
apeoperaio
Sr. Member
Posts: 273
Re: Math package for nonlinear constrained optimization, low-discrepancy sampling?
«
Reply #2 on:
March 20, 2019, 08:26:32 pm »
Check mrmath library, it works on Lazarus and it is superfast.
https://github.com/mikerabat/mrmath
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stephanweber
New Member
Posts: 47
Re: Math package for nonlinear constrained optimization, low-discrepancy sampling?
«
Reply #3 on:
March 28, 2019, 12:42:26 pm »
Thanks! These units work quite fine.
However, the most complete unit seems to be
AMath
, BUT I cannot compile it under freepascal, there are some
asm
statements, unfortunately.
Has anybody made AMath working under Lazarus?
Bye Stephan
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MathMan
Sr. Member
Posts: 325
Re: Math package for nonlinear constrained optimization, low-discrepancy sampling?
«
Reply #4 on:
March 28, 2019, 01:48:20 pm »
Hi Stephan,
I assume you mean the AMath unit of Wolfgang Ehrhardt (
http://www.wolfgang-ehrhardt.de/misc_en.html#amath)?
If so, what's your target environment? The website explicitly states
"The archive amath_2018-11-27.zip contains units for accurate mathematical methods without using multi precision arithmetic. Please note that the high accuracy can only be achieved with the rmNearest rounding mode; it decreases if other modes are used. AMath is designed for the 80-bit extended data type, and therefore cannot be used with 64-bit code on 64-bit system (for these use the corresponding DAMath package). More information can be found on the separate introduction page."
Maybe you need to take a look at DAMath instead.
Cheers,
MathMan
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glorfin
Full Member
Posts: 148
LMath supporter
Re: Math package for nonlinear constrained optimization, low-discrepancy sampling?
«
Reply #5 on:
April 29, 2019, 11:25:35 am »
Hi Stefan!
I have quite recently implememnted in Pascal the COBYLA algothithm for LMath library (
https://sourceforge.net/projects/lmath-library/
).
It is not yes officially released, but is already in SVN repository. So, have a look at it. See uCobyla unit in uOptimum package.
Best regards!
Viatcheslav
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