搜索资源列表
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
conjugategrads
- 图像重建常常被转化为解非线性无约束极值问题, 通过范数极小化推导出共扼梯度法的 一般算法。通过对模拟数据和实际工件断层扫描数据进行图像重建, 估计了算法的有效性, 结果表明, 与最速下降法相比, 此算法更适用于不完全投影数据的图像重建, 在保证重建图像拟合度的同时, 大大提高了重建速度。-Image reconstruction has often been transformed into solving nonlinear unconstrained extremum problem,
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
Equalizer_LSM
- 基于LM算法实现的均衡器。采用梯度估计近似实现最陡下降法。给出最后实验误差平方的均值曲线图。有完整的注释。-LM algorithm based on the equalizer. Similar to the realization of the estimated gradient steepest descent method. Finally, given the experimental error of the mean-square curve. Note complete.
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
1
- 利用c语言编写的最速下降法程序，其中包括利用进退法和0.618法进行的一维搜索-Using c language of the steepest descent procedure, including the advance and retreat method and 0.618 using one-dimensional search method
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
Steepest-Descent-based-Optimiation-for-Distribtue
- Steepest Descent based Optimiation for Distribtued Regression in Wireless Sensor Networks
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
Newton
- 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
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