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  • Category : Algorithm
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  • Update : 2012-11-26
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Experimental method: including the Gauss iteration and Newton descent method 1, with the Gauss- Seidel iterative method for solving equations 10x1-x2-2x3 = 7.2 -x1+10 x2-2x3 = 8.3 -x1-x2 = 5x3 Enter: the coefficient matrix A, the maximum number of iterations N, the initial vector, the error limit e Output: solution vector 2, Solving equations with the Newton descent x* x* xx* x-1 = 0 (initial value 0.6) input: initial value, the error limit, the maximum number of iterations, down the maximum number of output: approximate root of the step down factor.
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data.txt
insert2.cpp
计算方法实验.dsw
计算方法实验.ncb
计算方法实验.opt
计算方法实验.sln
Debug\插值.exe
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高斯迭代法\data.txt
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..........\.....\高斯迭代法.exe
..........\.....\高斯迭代法.exe.embed.manifest
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..........\.....\高斯迭代法.exe.intermediate.manifest
..........\.....\高斯迭代法.obj
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..........\高斯迭代法.cpp
..........\高斯迭代法.dsp
..........\高斯迭代法.plg
..........\高斯迭代法.vcproj
..........\高斯迭代法.vcproj.CHANGBL.Administrator.user
牛顿下山法\data.txt
..........\Debug\BuildLog.htm
..........\.....\mt.dep
..........\.....\vc60.pdb
..........\.....\vc90.pdb
..........\.....\牛顿下山法.exe
..........\.....\牛顿下山法.exe.embed.manifest
..........\.....\牛顿下山法.exe.embed.manifest.res
..........\.....\牛顿下山法.exe.intermediate.manifest
..........\.....\牛顿下山法.obj
..........\.....\牛顿下山法.pdb
..........\牛顿下山法.cpp
..........\牛顿下山法.dsp
..........\牛顿下山法.plg
..........\牛顿下山法.vcproj
..........\牛顿下山法.vcproj.CHANGBL.Administrator.user
高斯迭代法\Debug
牛顿下山法\Debug
Debug
高斯迭代法
牛顿下山法
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