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共轭斜量法,一种以共轭为基础的比较常用也很重要的计算方法。-Conjugate Gradient Method, a conjugate-based to the more common method is also very important.
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用c语言解决最优化问题,共轭梯度法是解决问题的其中一个-With the c language to solve optimization problems
Conjugate gradient method is one solution to the problem
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数学计算中的 共轭梯度法 用于最优化计算-Mathematics in the conjugate gradient method for the optimization
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采用matlab编写的利用共轭梯度法求解矩阵方程-Prepared using matlab conjugate gradient method using matrix equation
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共轭梯度法的经典之作,在支持向量机凸规划中经常用到。-Conjugate gradient method of classic convex programming in support vector machines are often used.
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3.1 线性方程组类设计
3.2 全选主元高斯消去法
3.3 全选主元高斯-约当消去法
3.4 复系数方程组的全选主元高斯消去法
3.5 复系数方程组的全选主元高斯-约当消去法
3.6 求解三对角线方程组的追赶法
3.7 一般带型方程组的求解
3.8 求解对称方程组的分解法
3.9 求解对称正定方程组的平方根法
3.10 求解大型稀疏方程组的全选主元高斯-约当消去法
3.11 求解托伯利兹方程组的列文逊方法
3.12 高斯-赛德尔
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matlab实现共轭梯度法源代码,有助于初学者学习最优化课程-matlab conjugate gradient method to achieve source code.
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共轭梯度法,优化算法的一种,具有二次收敛性,若目标函数为二次正定函数,经有限步可达到极小点-Conjugate gradient method, an algorithm with quadratic convergence, if the objective function is quadratic positive definite function can be achieved by the finite step minima
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用共轭梯度法求解x1^2+4*x2^2.精度为0.1-The Conjugate Gradient Method x1 ^ 2+4* x2 ^ 2. Accuracy of 0.1
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实现最优化搜索中,DFB法,秩1法,bfgs法以及共轭梯度法进行最优化数据搜索。其中共轭梯度法下降速率比较慢,要合理设置终止门限-Optimize the search, DFB method, rank 1 method, bfgs method and conjugate gradient method to optimize the data search. Conjugate gradient method in which the rate of decrease is slower,
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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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Newton法与共轭梯度法求解多变量函数寻优搜索的设计与实现-Newton method and conjugate gradient method to solve multi-variable function optimization based on the design and implementation of the search
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NGSolve ,使用NetGen进行有限元前处理,然后调用预条件共轭梯度法求解,也可以使用SuperLU求解。-NGSolve, using the finite element pre NetGen, and then call the preconditioned conjugate gradient method can also be solved with SuperLU.
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通过编程实现通过共轭梯度法和Gauss-Seidel迭代法两种方法求解方程组-By programming through the conjugate gradient method and Gauss-Seidel iteration method for solving equations of two
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共轭梯度法是介于最速下降法与牛顿法之间的一个方法,它仅需利用一阶导数信息,但克服了最速下降法收敛慢的缺点-Conjugate gradient method is between the steepest descent method and Newton method between a method that only use the first derivative information, but the steepest descent method to overcome the d
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该程序是用共轭梯度法来求解函数的最优化问题,其中一维搜索时采用了0.618法,即黄金分割法-The program is the conjugate gradient method to solve the function optimization problem, one-dimensional search using the 0.618 method, that is, golden section method
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一阶梯度法、共轭梯度法、变尺度法分别求解Wood函数,并得到此时的自变量值-The step degree method, conjugate gradient method, variable metric method for solving Wood function, respectively, and with the value of the independent variables at this time
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conjugate gradient method parallel mpi code
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用牛顿法,共轭梯度法,最速下降法完成矩阵的计算-Newton conjugate gradient method
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Simple implementation of the Conjugate Gradient Method
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