Description: 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 Platform: |
Size: 59392 |
Author:lgl |
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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. Platform: |
Size: 5120 |
Author:lin |
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Description: 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 Platform: |
Size: 245760 |
Author:zhangji |
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Description: 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 Platform: |
Size: 1024 |
Author:charles |
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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 Platform: |
Size: 4096 |
Author:闫安心 |
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Description: 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. Platform: |
Size: 2048 |
Author:anytry |
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Description: 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! Platform: |
Size: 3072 |
Author:白浩泉 |
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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: 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 Platform: |
Size: 22528 |
Author:贾晓伟 |
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Description: 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 Platform: |
Size: 2048 |
Author:Sharon |
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Description: 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. Platform: |
Size: 34816 |
Author:郝梦 |
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Description: 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... Platform: |
Size: 4096 |
Author:vahid |
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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 Platform: |
Size: 1024 |
Author:zhuyuanli |
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Description: 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 Platform: |
Size: 22528 |
Author:Teresa Wang |
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Search - optimization steepest