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Search - multiplier - List
[
matlab
]
optimizationinMatlab
DL : 0
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
Date
: 2025-12-17
Size
: 210kb
User
:
c.k.
[
matlab
]
MATLABoptimization
DL : 0
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
Date
: 2025-12-17
Size
: 38kb
User
:
百位过
[
matlab
]
seek
DL : 0
乘积的最后三位的值只与乘数和被乘数的后三位有关,与乘数和被乘数的高位无关,利用此来求尾数-The last three values of the product only with the multiplier and the multiplicand on the back three, with a high multiplier and the multiplicand has nothing to do, take advantage of this to seek mantissa
Date
: 2025-12-17
Size
: 1kb
User
:
leihao
[
matlab
]
algorithm_of_the_constrained_optimization
DL : 0
约束优化问题算法的 matlab 程序,包括: minRosen.m---Rosen 梯度投影法 minFactor.m----乘子法 minconPS.m-----坐标轮换法 minPF.m----外点罚函数法 minMixFun.m-----混合罚函数法 minJSMixFun.m----加速混合罚函数法-Constrained optimization algorithm matlab procedures, including: minRosen.m-- Rosen gradient projection method minFactor.m---- multiplier method minconPS.m----- coordinate rotation method minPF.m---- outside the points penalty function method minMixFun.m----- mixed penalty function minJSMixFun.m---- speed up the hybrid penalty function
Date
: 2025-12-17
Size
: 4kb
User
:
lili
[
matlab
]
PFC10
DL : 0
PFC功率因素校正电路,基于乘法器的APFC-PFC power factor correction circuit, multiplier-based APFC
Date
: 2025-12-17
Size
: 11kb
User
:
HM
[
matlab
]
lamao
DL : 0
用拉格朗日乘子法求解约束最优化问题,很好的实例程序。-Lagrange multiplier method for solving constrained optimization problems, very good example programs.
Date
: 2025-12-17
Size
: 161kb
User
:
辉少
[
matlab
]
forecar_p
DL : 0
Recursive stochastic forecaster k steps ahead of AR(p=>2) time series given initial value computation of stepwise dynamic multiplier is included. Ref: J.D.Hamilton, Time Series Analysis, Wiley, 1994. -Recursive stochastic forecaster k steps ahead of AR(p=>2) time series given initial value computation of stepwise dynamic multiplier is included. Ref: J.D.Hamilton, Time Series Analysis, Wiley, 1994.
Date
: 2025-12-17
Size
: 1kb
User
:
jay
[
matlab
]
forecar_1
DL : 0
Recursive stochastic forecaster k steps ahead of AR(1) time series given initial value & computation of stepwise dynamic multiplier
Date
: 2025-12-17
Size
: 1kb
User
:
jay
[
matlab
]
ANewModuloMultiplierforIDEA
DL : 0
Modulo multiplier of IDEA
Date
: 2025-12-17
Size
: 323kb
User
:
farzaneh
[
matlab
]
exact_alm_rpca
DL : 0
RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。该代码是求解RPCA的一种数值算法——Exact ALM(Exact Augmented Lagrange Multiplier)-The most basic form of the exact ALM function is [A, E] = exact_alm_rpca(D, λ), and that of the inexact ALM function is [A, E] = inexact_alm_rpca(D, λ), where D is a real matrix and λ is a positive real number. We solve the RPCA problem using the method of augmented Lagrange multipliers. The method converges Q-linearly to the optimal solution. The exact ALM algorithm is simple to implement, each iteration involves computing a partial SVD of a matrix the size of D, and converges to the true solution in a small number of iterations. The algorithm can be further speeded up by using a fast continuation technique, thereby yielding the inexact ALM algorithm.
Date
: 2025-12-17
Size
: 372kb
User
:
Bingmiao Huang
[
matlab
]
chengzifa
DL : 0
基本的拉格朗日乘子法(又称为拉格朗日乘数法),就是求函数f(x1,x2,...)在g(x1,x2,...)=0的约束条件下的极值的方法。其主要思想是引入一个新的参数λ(即拉格朗日乘子),将约束条件函数与原函数联系到一起,使能配成与变量数量相等的等式方程,从而求出得到原函数极值的各个变量的解。 -Basic Lagrange multipliers (also known as Lagrange multiplier method), is of a function f (x1, x2 ,...) in g (x1, x2 ,...)= 0 constraints under the conditions of extreme value methods. The main idea is to introduce a new parameter λ (the Lagrange multiplier), the constraint function is linked together with the original function, so variables can be paired with an equal number of equations equation, thus obtained by the original function extreme solution of the various variables.
Date
: 2025-12-17
Size
: 1kb
User
:
马晓敏
[
matlab
]
opmize-matlab
DL : 0
matlab乘子法,用于解带有约束的目标优化问题,约束条件既可以是线性又可以是非线性-matlab multiplier optimize,
Date
: 2025-12-17
Size
: 7kb
User
:
张鑫
[
matlab
]
Multiplier-method
DL : 0
乘子法求解约束方程 老师编的一段程序 注释非常详细-Multiplier method to solve a series of constraint equations teachers very detailed program notes
Date
: 2025-12-17
Size
: 1kb
User
:
mxf
[
matlab
]
multphr
DL : 0
乘子法的Matlab实现,利用程序求解约束化问题-Multiplier method of Matlab implementation of problem solving constrained by procedures
Date
: 2025-12-17
Size
: 1kb
User
:
song
[
matlab
]
multiplier-method
DL : 0
用乘子法求解约束优化问题。使用实例进行说明。程序给出。-With the multiplier method to solve the constrained optimization problem. Program are given.
Date
: 2025-12-17
Size
: 3kb
User
:
selina
[
matlab
]
Lagrange-multiplier
DL : 0
拉格朗日乘数法 , 主要解决求多元函数条件极值的问题。任何一本《高等数学》,《多元微积分》的教材都会介绍-Lagrange multiplier method, mainly to address the requirements of multi-function conditions extremum. A " higher mathematics" , multivariate calculus textbooks will be introduced
Date
: 2025-12-17
Size
: 250kb
User
:
王喜
[
matlab
]
multiplier-method
DL : 0
关于最优化算法的matlab仿真程序,乘子法。-Optimization algorithm matlab simulation program, the multiplier method.
Date
: 2025-12-17
Size
: 3kb
User
:
lyn
[
matlab
]
Multiplier
DL : 0
乘子法也是最优化中经常使用的一种传统数学优化方法,对于学习最优化的同学很有用处。-Multiplier Method is the most conventional mathematical optimization methods often used in optimization, optimization for the students to learn useful.
Date
: 2025-12-17
Size
: 3kb
User
:
[
matlab
]
multiplier-method
DL : 0
基于MATLAB环境下的拉格朗日乘子法的程序,非常实用-Lagrange multiplier method based on MATLAB Environment Program
Date
: 2025-12-17
Size
: 1kb
User
:
jay
[
matlab
]
Lagrangian multiplier method
DL : 0
通过matlab实现拉格朗日乘子法。学习经典优化方法,熟悉matlab语言。(Realize the Lagrangian multiplier method by matlab. Learning classic optimization methods, familiar with matlab language.)
Date
: 2025-12-17
Size
: 1kb
User
:
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