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Description: matlab-zuisuxiajiang实现matlab上的最速下降法-Matlab - Matlab zuisuxiajiang achieve the steepest descent method
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Size: 8996 |
Author: yyf |
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Description: matlab经典算法的程序
最速下降梯度法matlab程序
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Size: 1187 |
Author: 温兆一 |
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Description: 在MATLAB中开发的最速梯度法算例-in MATLAB development of the steepest gradient method counting cases
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Size: 3072 |
Author: 宫志国 |
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Description: 最优化算法,有共轭梯度、牛顿法、黄金分割、最速下降法等-optimization algorithm, a conjugate gradient, Newton, 0.618, the steepest decline in France
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Size: 6144 |
Author: 郭大波 |
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Description: matlab例子自适应滤波最陡下降法特征值扩散度仿真,变步长仿真-Matlab example of adaptive filtering steepest descent method for eigenvalue proliferation simulation, variable step simulation
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Size: 4096 |
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Description: 最速下降梯度法MATLAB程序.转载自科研中国.-steepest descent gradient method MATLAB program. China reprinted from the research.
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Size: 1024 |
Author: 胡俊 |
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Description: 一个最速下降法源码,很有用,需要的赶快下。-a steepest descent algorithm source code, useful, it needs quickly under.
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Size: 1024 |
Author: 赵伟 |
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Description: 最速下降法matlab程序,最速下降求法-Steepest descent method matlab procedures, steepest descent method
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Size: 1024 |
Author: 王伟 |
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Description: matlab经典算法的程序
最速下降梯度法matlab程序-classical algorithm matlab procedure steepest descent gradient method matlab program
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Size: 1024 |
Author: 温兆一 |
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Description: 非线性规划中的最速下降法,黄金分割法,阻尼牛顿法,牛顿切线法.-Non-linear programming in the steepest descent method, golden section method, damping Newton s Law, Newton s tangent method.
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Size: 2048 |
Author: |
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Description: MATLAB实现最速下降法的具体源程序代码-MATLAB steepest descent method to achieve the specific source code
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Size: 1024 |
Author: 廖民 |
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Description: 最优化学习的Matlab程序:包括最速下降法,黄金分割法,曲线拟合等.-Matlab optimization learning process: including the steepest descent method, golden section method, such as curve fitting.
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Size: 5120 |
Author: lin |
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Description: 最速下降法,是数值分析中很重要的一种,源码为其在matlab中的实现。-Steepest descent method, numerical analysis is a very important one in the matlab source code for its realization.
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Size: 1024 |
Author: 马丫 |
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Description: 用MATLAB代码来实现最速下降法的计算。-MATLAB code used to achieve the steepest descent method calculations.
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Size: 3072 |
Author: Joyee |
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Description: NUMERICAL OPTIMIZATION:
This steepest descent method with constant step length to find the minima of
f(x, y) = xy exp(− 2x^2 − y^2 + 0.3y)
Graphical represxentation in 5 ways of solution, simple and clear explained.-NUMERICAL OPTIMIZATION:
This is steepest descent method with constant step length to find the minima of
f(x, y) = xy exp(− 2x^2 − y^2+ 0.3y)
Graphical represxentation in 5 ways of solution, simple and clear explained.
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Size: 1024 |
Author: venera |
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Description: Steepest descent have been applied to a biomedical application data and the component responsible for key operation is obtained
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Size: 3072 |
Author: Madhavaraja |
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Description: 病态线性方程组的计算题,涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法,都编写一个m文件,封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行,画出误差曲线图,得到运行结果。总的Matlab程序流程,如下所示:
病态方程组的计算包括:HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。
程序执行结果包括:求解结果、迭代次数、迭代误差数据、误差曲线图等。
-Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.
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Size: 6144 |
Author: 陈永恒 |
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Description: Numerical optimization, Steepest descent
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Size: 1024 |
Author: ehwa |
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Description: 实现最速上升梯度算法的matlab函数,求得目标函数的最大值-Gradient algorithm to achieve the most rapid rise
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Size: 1024 |
Author: Coco |
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Description: 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
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Size: 1024 |
Author: zhuyuanli |
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