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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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The architecture of this set of codes and the interaction among them is shown in Figure 1.
The main testing code main code.m calls the code riemann grad unit opt.m that performs
Riemannian optimization under unitary matrix constraint. Steepest De
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预处理的共轭梯度算法和最速下降法MATLAB算法及源程序.-Preconditioning conjugate gradient algorithm and the steepest descent method MATLAB algorithms and source code.
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为精确求解散射问题,采用混合场积分方程(CFIE)、多层快速多极子算法(MLFMA)和共轭梯度算法(CG)的收敛技术。基于传统多层快速多级子算法,详细研究了二维拉格朗日插值节点数对计算精度的影响,并改进了插值方法,在不同的层采用不同的插值节点数 提出了在不同的层采用不同的精度控制来计算多级子模式数 分析了稀疏矩阵的对称性对内存使用的影响以及磁场积分方程对迭代初始值的选择。数值计算结果表明以上改进可较大幅度地提高计算精度和计算效率,同时降低内存使用,可满足复杂目标电磁散射计算要求。-Precise
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mpi多线程运用最速下降法求共轭梯度，16个线程，最多循环1000次。-mpi multi-threaded application steepest descent method the conjugate gradient, 16 threads, up to 1000 cycles.
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里面含有三种算法，包括共轭梯度矩阵求解，幂方法求本征值，同伦算法-Which contains three algorithms, including Conjugate Gradient matrix solver, power method uated the intrinsic value, homotopy method
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