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实现共轭梯度法的实例，该算法是一种优化算法，其具体优越性相信用者自知！-achieve conjugate gradient method example, the algorithm is an optimization algorithm, the specific advantages of knowing who to believe!
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最优化中利用惩罚因子的罚函数法的外延，连带了共轭梯度法，由于罚因子的迅速跌代增大，加速了目标函数的收敛速度。-optimization of the use of punitive factor function in the epitaxial sustaining a conjugate gradient method, As the penalty factor to the rapid increase or on behalf of, the objective function to
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共扼梯度法的Matlab源程序，寻找非线性或线性方程的极值-conjugate gradient method of Matlab source to find nonlinear equations or linear Extreme
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本人自编的共轭梯度法。为c源码，已在TC下运行通过。-I directed the conjugate gradient method. C source code for, the TC has run through.
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Conjugate gradient method for non-linear equations inC
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这是一个实现最优化计算的程序，采用的算法为共轭梯度法。-This is a realization of optimal calculation procedure, the algorithm used to conjugate gradient method.
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运用比例共轭梯度动量算法来训练BP网络并对机械振动峰峰值进行预测。-use ratio conjugate gradient algorithm to train the momentum BP also peak of mechanical vibration prediction.
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This OpenNL, a library to easily construct and solve sparse linear systems.
* OpenNL is supplied with a set of built-in iterative solvers (Conjugate gradient,BICGSTAB, GMRes) and preconditioners (Jacobi, SSOR).
* OpenNL can also use other solver
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本人自编的共轭梯度法。为c源码，已在TC下运行通过-I wrote the conjugate gradient method. C-source has been running through TC
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多元函数的共扼梯度法VC代码，子过程FRPRMN实现了该方法的过程。-multi-function conjugate gradient method VC code, sub-process FRPRMN realization of the method process.
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共轭梯度法，数值代数源码，n维Hilbert阵的极值。-conjugate gradient method, numerical algebra source, n-dimensional Hilbert RUF extreme.
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用ＶＣ编写的一个共轭梯度法的程序，目票函数是给定的．-VC prepared by a conjugate gradient method procedures, head to the counting function is determined.
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matlab编程的三个线性方程组求解子程序：cggm.m,fdm.m,febs.m.其中cggm.m为共轭梯度法求解子程序,fdm.m为最速下降法求解自程序,febs.m为三对角追赶法求解子程序.-Matlab programming three linear equations subroutine : cggm.m, fdm.m. febs.m. which cggm.m to conjugate gradient method subroutine, fdm.m for the steep
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共轭梯度法，使用牛顿法或者使用抛物线插值法。-conjugate gradient method, the use of Newton's law or the use of parabolic interpolation.
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Conjugate Gradient Minimization在梯度下降算法中有着重要应用。可以解决一些一般方法不容易解决的问题
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用C++编的一些最优化作业中的程序,有Newton法,DFP法,共轭梯度法,单纯形法,内点法,外点法,内外点法,都能使用,我已经全部调试过了-C compile some of the most optimized operating procedures, Newton, DFP, conjugate gradient method, the simplex method, interior point method, the points outside the law, outside p
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科学计算中的共轭梯度法解对称正定线性方程组.,Scientific Computing in the conjugate gradient method symmetric positive definite solution of linear equations.
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最优化理论与方法，其中包括两种BFGS算法与共轭梯度法，以及H终止准则！！1,Optimization theory and methods, including the two co-BFGS algorithm for conjugate gradient method, as well as the termination criteria for H! ! 1
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给出了线性方程组矩阵Ax=b在并行预处理共轭梯度法求解过程，绝对有用哟,Gives the matrix of linear equations Ax = b in parallel preconditioning conjugate gradient method for solving process, is absolutely useful to yo
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引入较好的预处理子，加快共轭梯度法的收敛速度-The introduction of better preconditioners, conjugate gradient method to speed up the convergence rate
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