Description: Monte Carlo methods (or Monte Carlo experiments) are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. They are often used in physical and mathematical problems and are most useful when it is difficult or impossible to use other mathematical methods. Monte Carlo methods are mainly used in three distinct problem classes: optimization, numerical integration, and generating draws a probability distribution.
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蒙特卡罗法c程序\input.MCI
...............\wxc32\src-conv\conv.h
...............\.....\........\convconv.c
...............\.....\........\convi.c
...............\.....\........\conviso.c
...............\.....\........\convmain.c
...............\.....\........\convnr.c
...............\.....\........\convo.c
...............\.....\........\makefile
...............\.....\........\makefile.cc
...............\.....\........\sample.mco
...............\.....\....mcml\mcml.h
...............\.....\........\mcmlgo.c
...............\.....\........\mcmlio.c
...............\.....\........\mcmlmain.c
...............\.....\........\mcmlnr.c
...............\.....\src-conv
...............\.....\src-mcml
...............\wxc32
蒙特卡罗法c程序
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