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ICCG_SSOR法
用于预测共轭梯度法求解大型线性方程组A[M][N]*x[N]=b[M]-ICCG_SSOR method for predicting the conjugate gradient method for solving large linear equations A [M] [N]* x [N] = b [M]
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共轭梯度法的资料，共轭梯度法为解解线性方程组的一类迭代法可直接使用。
-Conjugate gradient method, data, and the conjugate gradient method for the solution to solving linear equations, an iterative method can be used directly.
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比较了三种学习方法 1 gradient descent 2 steepest descent with line search
3 conjugate gradient method. 三种方法都在一个.m文件中被实现。-compare three learning methods: 1 gradient descent 2 steepest descent with line search
3 conjugate gradient method.
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优化设计方法：共轭梯度法的c语言言程序。初学入门者适用
-Optimal design method: conjugate gradient method c language statement was made by the program. Beginners Getting Started applicable
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Sample code for optimization based on Gradient base. include BFGS, Steepest Descent method, DFP method, Conjugate Gradient method ans so on-Sample code for optimization based on Gradient base. include BFGS, Steepest Descent method, DFP method, Conjug
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利用共轭梯度法（CG+）求解大规模无约束最优化问题，代代码所用语言为Fortran77.，
-The conjugate gradient method (CG+) for solving large-scale unconstrained optimization problems, the generation of code language is Fortran 77.
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可实现的算法：软件说明：
1.全主元高斯约当消去法2.LU分解法3.追赶法4.五对角线性方程组解法5.线性方程组解的迭代改善6.范德蒙方程组解法7.托伯利兹方程组解法8.奇异值分解9.线性方程组的共轭梯度法10.对称方程组的乔列斯基分解法11.矩阵的QR分解12.松弛迭代法第2章插值1.拉格朗日插值2.有理函数插值3.三次样条插值4.有序表的检索法5.插值多项式6.二元拉格朗日插值-The algorithm can be realized: Software Descr iption:
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共轭梯度法可以实现正定线性方程组的求解，并可以通过实例进行验证-Conjugate gradient method can achieve positive definite linear equations, and can be verified by an example
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本程序为求解线性方程组Ax=b的共轭梯度算法,对于A不要求是方阵。-The procedures for solving linear equations Ax = b conjugate gradient algorithm for A is not required to be square.
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共轭梯度法计算线性方程组的代码。本段代码采用了F90的风格书写。注意共轭梯度法只适用于对称正定的矩阵。-Conjugate gradient method to calculate the linear equations of the code. The section of code uses the the F90 style of writing. Note conjugate gradient method is only applicable to symmetric positiv
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无约束多维极值问题，包含
用模式搜索法求解多维函数的极值
用Rosenbrock法求解多维函数的极值
用单纯形搜索法求解多维函数的极值
用Powell法求解多维函数的极值
用最速下降法求解多维函数的极值
用共轭梯度法求解多维函数的极
用牛顿法求解多维函数的极值
用修正牛顿法求解多维函数的极值
用DFP法求解多维函数的极值
用BFGS法求解多维函数的极值
用信赖域法求解多维函数的极值
用显式最速下降法求正定二次函数的极值
-Unconstrain
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大型对称方程组解算（Fortran90）：
共轭梯度法、高斯消元法和平方根法-Large symmetric linear solver (Fortran90): conjugate gradient method, Gaussian elimination and the square root method
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共轭梯度下降法，Ax = y,求x.矩阵A为共轭对称稀疏矩阵,cgsolve matlab 程序-Conjugate gradient descent method, Ax = y, seeking x. Matrix A is conjugate symmetric sparse matrix, cgsolve matlab program
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包含线性方程组迭代解法的共轭梯度法和最速下降法Matlab源代码级收敛性分析报告，以及线性方程组Matlab解法的参考资料-Contains linear equations iterative method for solving the conjugate gradient method and the steepest descent method Matlab source-level convergence analysis report, as well as linear equa
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多元函数的共轭梯度法，配有实际调用的例子与输入数据-Multivariate function conjugate gradient method, with the example of the input data of the actual call
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共轭梯度法的matlab实现，给出任意的一个对称矩阵，可通过较小的迭代次数得到所要求精度的数值解-Conjugate gradient method matlab to achieve, given any symmetric matrix by a smaller number of iterations to obtain the required accuracy of the numerical solution
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this a main program for running the incomplete LU conjugate gradient for solving linear systems.
the matrix need not be symmetric.- this is a main program for running the incomplete LU conjugate gradient for solving linear systems.
the matrix n
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用于求解线性方程的共轭梯度法，可以用于求解大量的线性方程。-Conjugate gradient method for solving linear equations.Can be used to solve a large number of linear equations
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单输出函数Y=SIN(X)逼近问题的bp程序:假设网络结构为3--2--1，输入维数M,共N个样本,一般输入不算层，输出算层- 激活函数: hardlim---(0,1),hardlims---（-1,1),purelin,logsig---(0,1),tansig----(-1,1)
softmax,poslin,radbas,satlin,satlins,tribas
训练算法: 1.traingd,traingdm,traingda(variable l
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运用共轭梯度法和复合型法求函数的最小值，可以优化用-Can be optimized with the use of the conjugate gradient method and Method composite function of the minimum
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