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解线性方程组的迭代法，包括jacobi迭代，G-S迭代，Sor迭代，及共轭梯度等。-iterative method for solving linear equations, including jacobi iteration, GS iterative, Sor iteration, and conjugate gradient.
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采用CG法求解稀疏不对称的Ax=b-Implementation of a conjugate-gradient type method for solving sparse linear equations and sparse least-squares problems:
Solve Ax = b
or minimize || Ax- b ||2
or minimize || Ax- b ||2+ d2 ||x||2.
The matrix A may be squ
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采用CG法求解稀疏对称奇异矩阵得到的Ax=b-Implementation of a conjugate-gradient type method for solving sparse linear equations:
Solve Ax = b or (A- sI)x = b.
The matrix A- sI must be symmetric but it may be definite or indefinite or singular. The scalar s is a
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采用CG法求解稀疏对称非奇异矩阵得到的线性系统Ax=b-Implementation of a conjugate-gradient type method for solving sparse linear equations:
Solve Ax = b or (A- sI)x = b.
The matrix A- sI must be symmetric and nonsingular, but it may be definite or indefinite. The scal
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最优化方法:
共轭方向法 matlab源代码
需要改变原函数及其梯度-Optimization:
Conjugate Method
need to change the original function and its gradient
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我将要把常用的算法集上传上来给大家共享，这只是其中一个共轭梯度算法的源程序，陆续上传的还有armijo_goldstein线搜索方法， 0.618方法进行一维线搜索，DFP算法等。。。希望对你们有帮助-I will upload should set up the algorithm used to share, this is just one of the conjugate gradient algorithm of the source, one after another upload
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最优化共轭梯度算法、最速下降法、牛顿法、拟牛顿法matlab源码，含泪奉上-Conjugate gradient optimization algorithm, the steepest descent method, Newton method, quasi Newton method matlab source, tears offer
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优化常用的共轭梯度法和投影梯度法求解目标函数最优解问题-Conjugate gradient optimization of common law and the projected gradient method problems the optimal solution objective function
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对于给定的一组轨迹点，用优化方法实现铰链四杆机构轨迹复演。优化方法为共轭梯度法。-For a set of track points,we use a optimization method to optimize the track of Hinge four-bar mechanism. The optimization method is conjugate gradient.
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一种基于约束共轭梯度的闪光照相图像复原算法.-A method based on constrained conjugate gradient of flash radiographic image restoration algorithm.
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共轭梯度法+最优化方法+c++程序融合 解线性方程组-Conjugate gradient optimization method++ c++ application integration solution of linear equations
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无约束优化,最速下降法和共轭梯度法极小化函数-Unconstrained optimization, the steepest descent method and the conjugate gradient minimization function
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非线性反演中的共轭梯度反演方法 MATLAB程序-Conjugate gradient inversion in the nonlinear inversion method for MATLAB program
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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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最优化中常见的一些算法，包括DFP，共轭法，拟牛顿法，梯度法等-Common algorithm optimization, including the DFP, conjugate method, quasi-Newton method, gradient method
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In numerical linear algebra, the biconjugate gradient stabilized method, often abbreviated as BiCGSTAB, is an iterative method developed by H. A. van der Vorst for the numerical solution of nonsymmetric linear systems. It is a variant of the biconjug
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求解大型系数矩阵方程的最小二乘解，包括实数方程组和复数方程组。来自斯坦福Systems Optimization Laboratory- Implementation of a conjugate-gradient type method for solving sparse linear equations and sparse least-squares problems
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王家映关于地球物理资料非线性反演理论的讲座系列，包括11个文档（地球物理反演问题概述，蒙特卡洛法，模拟退火法，遗传算法,人工神经网络，共轭梯度，同伦反演法，量子遗传算法，蚁群算法，粒子群反演算法，模拟原子跃迁反演法）-Wang Ying on the theory of nonlinear inversion of geophysical data lecture series, including 11 documents (geophysical inversion problems out
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鲍威尔方法是鲍威尔于1964年提出的，以后又经过他本人的改进。该方法是一种有效的共轭梯度方向法，它可以在有限步内找到二次函数的极小点。对于非二次函数只要具有连续的二阶导数，用这种方法也是有效的。-Powell method is proposed in 1964, and later through his own improvements. This method is an effective method of conjugate gradient direction, it can fi
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This code implements an unconstrained optimization algorithm based on a non-monotone truncated Newton Method.
At each iteration a truncated newton method, based on the conjugate gradient algorithm, is used to find the search direction the step size
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