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Optimization
- 约束最优化方法－－最速下降法(也叫梯度法)，是人们用来求多个变量函数极值问题的最早的一种方法。-Constrained optimization methods- steepest descent method (also known as gradient method), is used for multiple variables function Extremum Problems earliest methods.
最速梯度法
- 在MATLAB中开发的最速梯度法算例-in MATLAB development of the steepest gradient method counting cases
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
zuiyouhua
- 此源码包是我本学期最优化理论课程的大作业，其中包括了我自己写的以下常用最优化算法的实现代码：最速下降法，牛顿法，非线性最小二乘法，DFP法。fun1，fun2是两个测试函数。谢谢！-This is my source packages optimization theory this semester courses in large operations, including my own to write the following commonly used optimization al
zsxjf
- 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.
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
steepest.decent.method.tar
- c code for steepest decent method
Nonlinear_Programming
- 非线性规划中的最陡下降法、BFGS方法和共轭梯度法matlab源程序（3－拟牛顿BFGS方法）.m-Non-linear programming in the steepest descent method, BFGS and conjugate gradient method matlab source code (3- Quasi-Newton BFGS method). M
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
steepest
- 实用最优化方法 最速下降法 变尺度法 牛顿法 阻尼牛顿法 皆为可运行程序-The most practical method of steepest descent optimization variable metric method damped Newton' s method Newton' s method can run the program are all
steepest_descentwewe
- Steepest Descent Algorithm
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