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Search - steepest_descent - List
[
matlab
]
Unconstrained_optimization
DL : 0
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 optimization problems of several commonly used method of source: variable rotation Act (variable_rotation.m), steepest descent method (steepest_descent.m), as amended Newton (modified_newton.m), conjugate gradient method (conjugate_gradient.m). In addition, coefficient_matrix.m as the objective function coefficients obtained matrix, minval.m function for the minimum calculation, gradient.m for gradient calculation function
Update
: 2025-02-19
Size
: 4kb
Publisher
:
闫安心
[
Mathimatics-Numerical algorithms
]
steepest_descent
DL : 0
这个Matlab程序实现最速下降算法。最速下降法是一种最基本的算法,它在最优化方法中占有重要地位.最速下降法的优点是工作量小,存储变量较少,初始点要求不高;缺点是收敛慢,最速下降法适用于寻优过程的前期迭代或作为间插步骤,当接近极值点时,宜选用别种收敛快的算法. -Matlab implementation of this procedure steepest descent algorithm.
Update
: 2025-02-19
Size
: 2kb
Publisher
:
小豆蔻
[
Windows Develop
]
steepest_descent
DL : 0
Steepest Descend Algorithm with optimum step size computation
Update
: 2025-02-19
Size
: 2kb
Publisher
:
holi
[
matlab
]
steepest_descent
DL : 0
Numerical optimization, Steepest descent
Update
: 2025-02-19
Size
: 1kb
Publisher
:
ehwa
[
STL
]
Steepest_descent
DL : 0
Algorithm for Steepest Descent optimisation of an 2D function Comments in Romanian
Update
: 2025-02-19
Size
: 26kb
Publisher
:
PSP
[
matlab
]
steepest_descent-in-adaptive_filter
DL : 0
对《自适应滤波器原理》一书中使用“最速下降算法轨道曲线”进行自适应滤波器设计的方法进行了matlab实现。研究图像处理方向滤波器设计的可以参考。-This program is using the "steepest descent algorithm tracks curve" in "Adaptive Filter Theory" to design adaptive filter methods based on matlab. which can refer to who researches the filter of image processing .
Update
: 2025-02-19
Size
: 23kb
Publisher
:
章煜
[
Other
]
Newton
DL : 0
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 optimization problems of several commonly used method of source: variable rotation Act (variable_rotation.m), steepest descent method (steepest_descent.m), as amended Newton (modified_newton.m), conjugate gradient method (conjugate_gradient.m). In addition, coefficient_matrix.m as the objective function coefficients obtained matrix, minval.m function for the minimum calculation, gradient.m for gradient calculation function-Compression bag contains unconstrained optimization problems of several commonly used method of source: variable rotation Act (variable_rotation.m), steepest descent method (steepest_descent.m), as amended Newton (modified_newton.m), conjugate gradient method (conjugate_gradient.m). In addition, coefficient_matrix.m as the objective function coefficients obtained matrix, minval.m function for the minimum calculation, gradient.m for gradient calculation function
Update
: 2025-02-19
Size
: 1kb
Publisher
:
zhuyuanli
[
Algorithm
]
Steepest_Descent
DL : 0
利用最速下降法实现最优化的程序。给出了一个二维函数,也给出了最优化的结果。一维搜索用的是Wolfe非精确搜索。-The optism method of steep descend.
Update
: 2025-02-19
Size
: 249kb
Publisher
:
gaopeng
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