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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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用共轭梯度算法——FR算法求解无约束最优化问题-Conjugate gradient algorithm- FR algorithm for solving unconstrained optimization problems
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自己用Matlab编写的最优化算法,包括0.618,梯度法,共轭梯度法,罚函数法.-Their own written with Matlab optimization algorithms, including 0.618, gradient method, conjugate gradient method, penalty function.
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PRP共轭梯度法优化计算，采用FORTRAN语言-PRP conjugate gradient method optimization, the use of FORTRAN language
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最优化问题的快速下降法，共轭梯度法，基于matlab算法。经过测试好用-Optimization problem of the rapid descent method, conjugate gradient method, based on matlab algorithm. Tested, easy to use
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最优化理论中的几个算法，包括共轭梯度法，公轭梯度法，方向加速法，步长加速，变尺度法-Optimization theory in several algorithms, including the conjugate gradient method, public and conjugate gradient method, directional method, step speed, variable metric method
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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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此共轭梯度算法是基于matlab7.0的用于最优化问题中，无约束条件下的最优化求解。-This conjugate gradient algorithm is based on the matlab7.0 for most optimization problems, the non-binding under the conditions for solving optimization.
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基于共轭梯度法，现采用编程来计算最优解，matlab程序和简要说明文档。-Based on conjugate gradient method is used to calculate the optimal solution of programming, matlab program, and brief documentation.
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preconjgrad：预处理共轭梯度法求线性方程组Ax=b的解
conjgrad：共轭梯度法求线性方程组Ax=b的解
twostep:两部迭代法求线性方程组Ax=b的解
fastdown:快速下降法求线性方程组Ax=b的解-preconjgrad: preconditioned conjugate gradient method for solving linear equations Ax = b solution conjgrad: conjugate gradient met
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该文提出了一种分段弱阈值修正共轭梯度追踪算法，该算法修正了方向追踪算法的方向，提高了压缩感知的重构精度。-This paper presents a weak sub-threshold tracking Conjugate gradient algorithm, which fixes the direction of the direction of tracking algorithms to improve the accuracy of the reconstruction of co
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神经网络实现电力预测，bP神经网络，共轭梯度算法。-Neural network prediction of electricity, bP neural networks, conjugate gradient algorithm.
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共轭梯度方法求解正定方程。该种解法有效的处理了正定方程的求解速度问题。CGLS Conjugate gradient algorithm applied implicitly to the normal equations.-CGLS Conjugate gradient algorithm applied implicitly to the normal equations.
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共轭梯度法编程.共轭梯度法是共轭方向法的一种依赖于迭代点的负剃度而构造出来的-Conjugate gradient method programming. Conjugate gradient method is a conjugate direction method relies on an iterative point out negative tonsure and the structure of the
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利用共轭梯度法进行的简单方程求解。对于学习非线性规划有一定的指导作用。看程序可以熟悉课程。-Conjugate gradient method using the simple equation. For learning non-linear programming a certain guiding function. Familiar with the course can be read.
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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-PCA-wide Gauss Jordan elimination method 2.LU decomposition method 3. To catch up with law 4.
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共轭梯度法解决线性方程组,系数满足对称正定矩阵-Conjugate gradient method to solve linear equations, coefficients satisfy the symmetric positive definite matrix
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改进的共轭梯度法，可求取二元函数的极值。-Improved conjugate gradient method, can strike a binary function of the extremum.
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这个程序利用共轭梯度方法，求解对称正定线性方程组-This procedure using conjugate gradient method for solving symmetric positive definite system of linear equations
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共轭梯度法求解有限元线性方程组，用列为20阶对称正定矩阵-Conjugate gradient method for solving linear equations of finite element used as a 20-order symmetric positive definite matrix
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