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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
Update : 2025-02-17 Size : 6kb Publisher : 郭大波

一个介绍最优化方法课件,很详细。从最简单的一维搜索到共轭梯度,最速下降法等等,都有说明-An optimization method introduction courseware, in great detail. From the simplest one-dimensional search to the conjugate gradient, steepest descent method, etc., all indicate
Update : 2025-02-17 Size : 58kb Publisher : lgl

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.
Update : 2025-02-17 Size : 5kb Publisher : lin

非刚性图像配准算例,包括最速梯度下降优化、二次样条、2D/3D配准、互信息最小化、3D仿射等多种配准算法。 非刚性配准是当前应用最多的配准方法,用于处理有较大位移的配准问题-Non-rigid image registration examples, including the steepest gradient descent optimization, quadratic spline, 2D/3D registration, mutual information minimization, 3D affine registration algorithm, etc.. Non-rigid registration is currently the most widely used registration methods used to deal with a greater displacement of registration problems
Update : 2025-02-17 Size : 240kb Publisher : zhangji

可以解决最优化分析问题里边的最速下降法问题,已经通过vc++测试-Optimization analysis can solve the problem inside the steepest descent method problems, has been passed vc++ Test
Update : 2025-02-17 Size : 1kb Publisher : charles

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 : 2025-02-17 Size : 4kb Publisher : 闫安心

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.
Update : 2025-02-17 Size : 2kb Publisher : anytry

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 algorithm code: steepest descent method, Newton method, nonlinear least squares method, DFP method. fun1, fun2 are two test function. Thanks!
Update : 2025-02-17 Size : 3kb Publisher : 白浩泉

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.
Update : 2025-02-17 Size : 1kb Publisher : venera

Numerical optimization, Steepest descent
Update : 2025-02-17 Size : 1kb Publisher : ehwa

基于最速下降法、牛顿法、共轭梯度法的matlab程序 -Steepest descent Newton conjugate gradient method
Update : 2025-02-17 Size : 1kb Publisher : lzy

最优化源程序最速下降法的C语言编程,挺好的-Source optimization, steepest descent method of C language programming, quite good
Update : 2025-02-17 Size : 22kb Publisher : 贾晓伟

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
Update : 2025-02-17 Size : 2kb Publisher : Sharon

DL : 0
Its about how to use steepest descent methor of optimization./
Update : 2025-02-17 Size : 41kb Publisher : Piyush

最优化方法及其Matlab程序设计,乘子法程序,非线性最小二乘问题源码,最速下降法与牛顿法源码-Optimization method and Matlab programming, multiplier method procedures, non-linear least squares problem source, the steepest descent method and Newton' s law code, etc.
Update : 2025-02-17 Size : 34kb Publisher : 郝梦

最优化 最速下降法 黄金分割法 DFP 乘子法-Optimization Steepest descent method
Update : 2025-02-17 Size : 20kb Publisher : 李探

Sample code for optimization based on Gradient base. include BFGS, Steepest Descent method, DFP method, Conjugate Gradient method ans so on-Sample code for optimization based on Gradient base. include BFGS, Steepest Descent method, DFP method, Conjugate Gradient method ans so on...
Update : 2025-02-17 Size : 4kb Publisher : vahid

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 : 2025-02-17 Size : 1kb Publisher : zhuyuanli

optimization最优化的多种算法的实现,最速下降法梯度法牛顿法以及相似形法,测试函数是香蕉函数-to achieve a variety of optimization algorithms optimization, steepest descent gradient method and Newton' s method similar figures method, the test function is a function of bananas
Update : 2025-02-17 Size : 22kb Publisher : Teresa Wang

用BFGS 拟牛顿法 最速下降法 牛顿法 共轭梯度法 解决线性优化问题(Solving linear optimization problems with conjugate gradient method and Steepest descent method.)
Update : 2025-02-17 Size : 3kb Publisher : 小狗蛋
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