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最优化方法中共轭梯度法的matlab程序-Optimization method of conjugated gradient method matlab program
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压缩包里包含了无约束优化问题常用的几种求解方法的源程序:变量轮换法(variable_rotation.m)、最速下降法(steepest_descent.m)、修正牛顿法(modified_newton.m)、共轭梯度法(conjugate_gradient.m)。另外,coefficient_matrix.m为目标函数系数获得矩阵,minval.m为最小值计算函数,gradient.m为梯度计算函数-Compression bag contains unconstrained optimiz
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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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共轭梯度法最优化算法matlab源程序-Conjugate Gradient Method optimization algorithm matlab source code. .
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Conjugate_Gradient方法仿真测试最优化效果的matlab程序-Conjugate_Gradient simulation testing method to optimize the effect of the matlab program
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