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在最优化问题中,常用需求取代价函数的最小值,该程序实现了最速梯度求最小的功能-in optimization problems, the demand to replace the commonly used function of the minimum price. the program achieved the steepest gradient for the smallest functional
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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.
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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
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最速下降法优化,无约束,可以自己改进。很容易懂有简单的说明。-Steepest descent method optimization, non-binding, can improve. There is a simple easy to understand explanation.
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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
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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
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本程序包 包括一些常用的常规优化算法,包括抛物线法、最速下降法、黄金分割法、牛顿法等,可作为学习优化算法的参考-This package includes some commonly used conventional optimization algorithms, including the parabola method, steepest descent method, golden section method, Newton s law so it can be used as re
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最优化理论与方法最速下降法C++源代码最优化理论与方法最速下降法C++源代码-Optimization theory and methods of steepest descent C++ source code for the optimization theory and method of steepest descent C++ source code
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最优化常用无约束方法,内有最速下降法,newton法,共轭梯度法,坐标轮换发等程序,程序均用C语言编写!-The most common unconstrained optimization methods, steepest descent method within, newton method, conjugate gradient method, coordinate rotation of hair and other procedures, procedures are writte
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最速下降法求优化问题的C++源代码,经测试,该程序运行正常,得到了预期的结果。-Steepest descent method for the optimization of C++ source code, tested, the program works correctly to get the desired results.
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工程优化中,用最速下降法和牛顿法求解目标函数的最优解-In Engineering optimization, use the steepest descent method and Newton s method for solving the optimal solution of objective function
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这是无约束最优化理论的一个小例子,用的是最速下降法。-This is the theory of unconstrained optimization of a small example, using the steepest descent method.
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使用c简单描述工程优化中的最速下降法、牛顿法以及共轭方向法-Using the c simple descr iption of engineering optimization in the steepest descent method, quasi-Newton method and conjugate direction method
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最优化理论技术中的最速下降法c语言实现代码,其中能够很好的帮你求出对应的数据解。-Optimization theory and technology in the steepest descent method c language code, which can help you find the corresponding data solution .
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共轭梯度法(Conjugate Gradient)是介于最速下降法与牛顿法之间的一个方法,它仅需利用一阶导数信息,但克服了最速下降法收敛慢的缺点,又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点,共轭梯度法不仅是解决大型线性方程组最有用的方法之一,也是解大型非线性最优化最有效的算法之一。 在各种优化算法中,共轭梯度法是非常重要的一种。其优点是所需存储量小,具有步收敛性,稳定性高,而且不需要任何外来参数。-Conjugate Gradient method (Conjugate Gradie
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数学最优化工具箱,内含0.618法,Fibonacci法,共轭梯度法,你牛顿法,牛顿法,最速下降法。每个算法都有一个实例用matlab实现-Mathematical optimization toolbox, containing 0.618 Fibonacci method, conjugate gradient method, Newton, Newton, steepest descent method. Each algorithm has an example of using mat
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Using the steepest descent to solve do the optimization work. You can either cll the function or use the difference method to derive the gradient
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本资源主要对矩阵分解中的LU分解、LDL’分解、乔列斯基分解,以及无约束最优化领域中的最速下降法、牛顿法、拟牛顿法的原理、步骤和算法进行了简要介绍,并对各种方法进行了Matlab编程实验,得到了较好的结果。 本资源包含了《矩阵分解及无约束最优化方法的原理和应用简介》文档以及其中用到的全部Matlab程序,非常适合初学者学习与研究。-The resources are mainly in the matrix decomposition LU decomposition, LDL decompo
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C++实现的最优化算法,包括最速下降法与共轭梯度法-Optimization algorithm implemented in C++, including the steepest descent method and Conjugate Gradient Method
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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.)
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