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一个利用共轭梯度法的正则化实例: 通过输入矩阵的维数,利用共轭梯度法的原理,进行正则化计算;Morozov偏差原理-A conjugate gradient method using the regularization Example: Enter the dimensions of the matrix, using the principle of conjugate gradient method for regularization calculation
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二次函数的共轭梯度法的matlab实现函数,输入相关参数即可进行迭代运算。-The function MATLAB realization of conjugate gradient method of quadratic function.
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用vb实现最优化方法中的几种基本算法,包括最速下降法、牛顿法、共轭梯度法、最小二乘法等并结合数据库的使用,程序中还附带用户登录及管理-With vb achieve optimal methods of several basic algorithms, including the steepest descent method, Newton method, conjugate gradient method, least squares method and combined use of
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With FR conjugate gradient method for solving unconstrained problem
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With HS conjugate gradient method for solving unconstrained problem
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With PRP conjugate gradient method for solving unconstrained problem
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wolf Searches PRP conjugate gradient method
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共轭梯度法(Conjugate Gradient)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,又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点,共轭梯度法不仅是解决大型线性方程组最有用的方法之一,也是解大型非线性最优化最有效的算法之一。这里给出共轭梯度法的源程序-Conjugate gradient method (Conjugate Gradient) is between the steepest descent method and
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共轭梯度法(Conjugate Gradient)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,又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点,共轭梯度法不仅是解决大型线性方程组最有用的方法之一,也是解大型非线性最优化最有效的算法之一-Conjugate gradient method (Conjugate Gradient) is between the steepest descent method and Newton' s
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共轭梯度法,用于求解非线性约束问题,适用于matlab程序-Conjugate gradient method for solving nonlinear constrained problem for matlab program
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共轭梯度法解决矩阵方程问题-Conjugate gradient method to solve the matrix equation problem
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用共轭斜量法求解n阶方程组,记录达到所需精确解的迭代次数。-Conjugate Gradient Method with solving n-order equations, exact solutions of the desired record number of iterations.
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本程序是运用共轭梯度法的数值计算方法来求解正定对称矩阵方程。-This procedure is to use the conjugate gradient method numerical method to solve symmetric positive definite matrix equation.
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数学计算中CG法应用举例,CG法又名共轭梯度法,是一种常用的数学计算方法。-Application of mathematical calculations CG example, CG method known as conjugate gradient method, is a commonly used mathematical calculations.
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使用FR共轭梯度法求解无约束问题
输入包括初始点,目标函数和梯度
输出包括最优点和最优解,还有迭代次数-Use FR conjugate gradient method for solving unconstrained problems including initial entry points, the objective function and the gradient of the output, including the advantages and the most o
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病态方程组的数值解法,Guass,Jacobi,SOR iteration,conjugate gradient method-numerical solution of ill-conditioned system of equations,Guass,Jacobi,SOR iteration,conjugate gradient method
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改进的共轭梯度法,具有很好的收敛效果,达到整体最有,在MATLAB中实现。-Improved conjugate gradient method, has a good convergence effect, to achieve the overall most realized in MATLAB.
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本matlab程序用共轭梯度法来求解多元模型的最小值(给出最小值和精度情况)-The matlab program conjugate gradient method to solve the minimum multivariate model (given the minimum and the accuracy of the situation)
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Conjugate Gradient Method in matlab
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Conjugate Gradient Method
by Yi Cao
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