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稀疏编码程序，To run sparsenet, you will first need to compile the conjugate
gradient (cgf) routine so that it may be called through matlab.
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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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共轭梯度数值算法-conjugate gradient algorithm
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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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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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简明扼要的介绍了共轭梯度法matlab程序-Concise introduction to the conjugate gradient method matlab program
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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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