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Description: 一种用C＋＋编的罚函数内点法进行的优化程序设计，解决有关优化问题，可以使用，抄来的，仅供己用-a C++ compile penalty function interior point method for optimizing the design process and solve the optimization problem, it can use, copied, only for their own use!
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Description: 内点惩罚函数法,机械优化设计中的优化方法.-Interior point penalty function method, optimal design of mechanical optimization.
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Size: 2048 |
Author: 李静 |
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Description: 使用matlab编程的，内点惩罚函数法优化程序-Using matlab programming, interior-point optimization procedure penalty function method
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Size: 5120 |
Author: xinyi |
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Description: 这个是优化方法中的一种方法，叫做罚函数法，是一种用于带约束条件的优化。-This optimization method is a method, called the penalty function method, is a condition for constrained optimization.
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Size: 3072 |
Author: 宝宝 |
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Description: 内点法是从可行域内某一初始内点出发，在可行域内进行迭代的序列极小化方法。它仅用于求解不等式约束优化问题。这里列出内点惩罚函数法的六个子程序。
-Interior point method is a feasible region within the initial point of view, the region, where feasible, to carry out the sequence of iterative minimization method. It is only used for solving inequality constrained optimization problem. Listed here point penalty function method within the six subroutines.
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Author: lrc |
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Description: 通过使用matlab程序用内惩罚函数法的对算例进行分析-Matlab procedures through the use of penalty function method used in the analysis of numerical example
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Size: 1024 |
Author: 许冬 |
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Description: MATLAB的梯度法，内点法，外点法，罚函数，惩罚函数，线性梯度法，源程序，按照提示输入，可直接运行-MATLAB' s gradient method, interior point method, outside the point of law, penalty function, penalty function, the linear gradient method, source code, follow the prompts to input, can be directly run
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Size: 3072 |
Author: 朱伟 |
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Description: MATLAB最优化计算20例.m文件，包括二次插值，黄金分割，罚函数法，遗传算法，拉格朗日乘子法等-MATLAB Optimization Calculation of 20 cases. M documents, including quadratic interpolation, Golden Section, penalty function method, genetic algorithm, Lagrange multiplier method
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Size: 215040 |
Author: c.k. |
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Description: 用MATLAB求解无约束的问题，主要有最速下降法，牛顿法，共轭梯度法，变尺度法（DFP和BFGS法），非线性最小二乘法。
用MATLAB求解有约束的问题，主要是外惩罚函数和广义乘子法。
以及一些对具体问题的分析，MATLAB的代码在文档里都有。
-Using MATLAB to solve the problem of non-binding, there are the steepest descent method, Newton method, conjugate gradient method, variable metric method (DFP and BFGS method), nonlinear least square method. Using MATLAB to solve the problem of binding, mainly outside the penalty function method and generalized multipliers. As well as some specific issues for analysis, MATLAB code in the document, are limitless.
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Size: 81920 |
Author: ljw |
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Description: 机械优化设计的作业 包括一维搜索方法（二次差值，牛顿法，黄金分割法），以及最速下降法和内点惩罚函数法及等值线图-Optimal Design of mechanical operations, including one-dimensional search method (the second difference, Newton' s law, golden section method), and the steepest descent method and interior point penalty function method and the contour map
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Size: 12697600 |
Author: 王正宇 |
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Description: matlab最优化程序包括
无约束一维极值问题
进退法 黄金分割法 斐波那契法 牛顿法基本牛顿法 全局牛顿法 割线法 抛物线法 三次插值法 可接受搜索法
Goidstein法 Wolfe.Powell法
单纯形搜索法 Powell法 最速下降法
共轭梯度法 牛顿法 修正牛顿法
拟牛顿法 信赖域法 显式最速下降法，
Rosen梯度投影法
罚函数法 外点罚函数法 內点罚函数法
混合罚函数法 乘子法
G－N法 修正G－N法 L－M法
线性规划 单纯形法 修正单纯形法
大M法 变量有界单纯形法
整数规划 割平面法 分支定界法
0-1规划 二次规划
拉格朗曰法 起作用集算法
路径跟踪法
粒子群优化算法 基本粒子群算法 带压缩因子的粒子群算法 权重改进的粒子群算法
线性递减权重法 自适应权重法
随机权重法 变学习因子的粒子群算法
同步变化的学习因子
异步变化的学习因子 二阶粒子群算法
二阶振荡粒子群算法
-matlab optimization process includes
Non-binding one-dimensional extremum problems
Advance and retreat method Golden Section Fibonacci method of basic Newton s method Newton s method Newton s Law of the global secant method parabola method acceptable to the three interpolation search method
Goidstein France Wolfe.Powell France
Simplex search method Powell steepest descent method
Conjugate gradient method Newton s method Newton s method to amend
Quasi-Newton Method trust region method explicitly steepest descent method,
Rosen gradient projection method
Penalty function method outside the penalty function method within the penalty function method
Mixed penalty function multiplier method
G-N was amended in G-N method L-M method
Of linear programming simplex method, revised simplex method
Big M method variables bounded simplex method,
Cutting Plane Method integer programming branch and bound method
0-1 programming quadratic programming
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Size: 38912 |
Author: 百位过 |
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Description: 最优化设计有约束条件下的惩罚函数法的程序设计-Optimal design of constrained penalty function method of programming
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Size: 1024 |
Author: fangzhongmin |
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Description: In kernel ridge regression we have seen the final solution was not sparse in the variables ® .
We will now formulate a regression method that is sparse, i.e. it has the concept of support
vectors that determine the solution.
The thing to notice is that the sparseness arose from complementary slackness conditions
which in turn came from the fact that we had inequality constraints. In the SVM the penalty
that was paid for being on the wrong side of the support plane was given by C
P
i » k
i for
positive integers k, where » i is the orthogonal distance away from the support plane. Note
that the term jjwjj2 was there to penalize large w and hence to regularize the solution.
Importantly, there was no penalt
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Size: 51200 |
Author: bahman |
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Description: 罚函数法,和matlab源代码,另加类似方法供参考,-Penalty function method, and the matlab source code, plus a similar method for reference,
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Size: 4096 |
Author: 张米 |
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Description: 罚函数法求解约束方程
注释非常详细
自己编的源程序-Penalty function method for solving the constraint equations themselves very detailed comments of the source code
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Size: 3072 |
Author: mxf |
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Description: 优化方法：外点罚函数法，解决非线性约束优化问题-Optimization method: outer-point penalty method to solve nonlinear constrained optimization problems
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Size: 2048 |
Author: 马培勇 |
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Description: 外点罚函数方法，可以用来求解约束优化问题，也可以用来被调用在智能算法中-Point outside the penalty function can be used for solving constrained optimization problems, can also be used in intelligent algorithm called
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Size: 3072 |
Author: 彭ph.D |
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Description: fibonacci search for finding the lamda value in interior penalty method-fibonacci search for finding the lamda value in interior penalty method..
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Size: 1024 |
Author: Badwl |
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Description: 最优化计算方法及其MATLAB程序实现约束优化的罚函数法-Constrained Optimization penalty method
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Size: 3072 |
Author: 张华 |
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Description: Matlab codes of penalty method for solve constrained optimization problems.
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Size: 8192 |
Author: Mohamed A. El-Sayed |
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