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Steepest
- 计算梯度下降法计算极值，只能找到局部最小点。可以通过调整步长实现全局最小-Calculation of gradient descent method to calculate extreme value, can only find local minimum point. By adjusting the step size can achieve the global minimum
Unconstrained_optimization
- 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
steepest_descent_method
- 采用最速下降法查找最小值，采用H终止准则，计算时间很快，很适合初学者使用-Steepest descent method using the minimum search using H termination criteria, the computation time soon, it is suitable for beginners to use
defuzzy
- Animation for steepest descent, Newton, and LM directions
steepest_method_with_const_step
- 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 OPTIMIZ
steepestdescent
- Steepest descent have been applied to a biomedical application data and the component responsible for key operation is obtained
steepest_descent
- Numerical optimization, Steepest descent
Steepest_descent
- Algorithm for Steepest Descent optimisation of an 2D function Comments in Romanian
neuralnetworkdesignusingsteepestdescentalgorithm.
- Neural Network with multiple inputs and multiple output with training data in file name Twod is trained using steepest descent algorithm.After training data ,we can test a new set of data-Neural Network with multiple inputs and multiple output with t
Ch2-4d2
- Its about how to use steepest descent methor of optimization./
steepdes
- In mathematics, the method of steepest descent or stationary phase method or saddle-point method is an extension of Laplace s method for approximating an integral, where one deforms a contour integral in the complex plane to pass near a stationary po
zuisuxiajiangfa
- 最速下降法（steepest descent method)是以负梯度方向作为下降方向的极小化算法，又称梯度法，是1874年法国科学家Cauchy提出的，最速下降法是无约束最优化中最简单的方法。-Steepest descent method
steepest-descent
- 这是一个用最速下降法求解线性方程的方法，程序代码使用matlab语言。 -This is a steepest descent method for solving linear equations, program code using matlab language.
Steepest-descent-method
- 最优化算法，最速下降法,matlab函数实现 function [istatus,xm,ym,lamda]=quickestdown(y,x0,lamda0, tol, maxIter) 最速下降法 输入：fun--目标函数 x--变量 x0---初始位置 lamda0--初始步长 tol---精度 maxIter--最大迭代次数 -Steepest descent method
non_linear-steepest-descent
- 最速下降算法解非线性方程组，VC源码，精度很高，代码速度很快-solve non_linear_equations with vc by steepest descent algorithm
The-steepest-descent-method
- 关于最优化算法的Matlab仿真程序，最速下降法与牛顿法。-Optimization algorithm Matlab simulation program, the steepest descent method and Newton method.
steepest-descent
- 这个源码在VC++6.0平台上用C语言编写的，实现了最速下降法的全过程。-The source code written in C language on vc++ 6.0 platform, realize the whole process of the steepest descent method.
steepest-descent-method
- 使用最速下降法求解二元函数的极值，内含区间取半法的一维寻优，有实例和说明，不只是算法。-Using the steepest descent method for solving the dual function of extremes, containing half the interval to take a one-dimensional optimization method, there are examples and illustrations, not just algori
The-steepest-descent-method-matlab
- 程序是通过最速下降法寻找三阶二维的目标函数的局布极值点。-Program is through the steepest descent method to find the objective function of the third-order two-dimensional local extremum point.
steepest-descent-method
- 解线性方程组的最速下降法，编译器用的是intel visual fortran-solve linear equations with steepest descent method