搜索资源列表
Optimization-Methods-
- 《最优化方法及其Matlab程序设计》较系统地介绍了非线性最优化问题的基本理论和算法,以及主要算法的Matlab程序设计,主要内容包括(精确或非精确)线搜索技术、最速下降法与(修正)牛顿法、共轭梯度法、拟牛顿法、信赖域方法、非线性最小二乘问题的解法、约束优化问题的最优性条件、罚函数法、可行方向法、二次规划问题的解法、序列二次规划法等。-" Optimization Methods and Matlab programming," a more systematic introd
CUMCM
- 本程序的运行环境是matlab,通过使用GA工具箱求解多约束非线性规划问题。-The program' s operating environment is matlab, through the use of GA toolbox for solving multi-constrained nonlinear programming problem.
kernels
- 根据模式识别理论,低维空间线性不可分的模式通过非线性映射到高维特征空间则可能实现线性可分,但是如果直接采用这种技术在高维空间进行分类或回归,则存在确定非线性映射函数的形式和参数、特征空间维数等问题,而最大的障碍则是在高维特征空间运算时存在的“维数灾难”。采用核函数技术可以有效地解决这样问题。 -According to the pattern recognition theory, a low dimensional space linearly inseparable pattern th
yichuansuanfa.tar
- 遗传算法计算非线性优化问题的matlab计算程序。-Matlab program for computing nonlinear optimization problem
psolicheng
- 微粒群算法的计算程序,用来计算非线性优化问题。-a matlab PSO program for computing nonlinear optimization problem
Genetic-Algorithm
- 本例应用遗传算法实现了对于一些非线性、多模型、多目标的函数优化问题,用其它优化方法较难求解,而遗传算法可以方便的得到较好的结果。-In this case the genetic algorithm is applied to implement for some nonlinear, model, multi-objective function optimization problem, with other optimization methods are difficult to sol
The-MATLAB-equation
- MATLAB解方程与函数极值、线性方程组求解、非线性方程数值求解、常微分方程初值问题的数值解法、函数极值。-The MATLAB equation and the extreme value of function, solving linear equations, nonlinear equations, numerical solution of initial value problem of ordinary differential equation, the numerical s
optimal
- 最优化实现,主要涉及拟牛顿法解决非线性方程,非线性最小化问题,高斯牛顿法和DFP法-Optimized to achieve, mainly involving quasi-Newton method to solve nonlinear equations, nonlinear minimization problem, Gauss-Newton method and DFP method
Rosen
- Rosen梯度投影法,用于解决非线性规划的线性约束问题,可用于解决matlab程序-Rosen gradient projection method for solving nonlinear programming problem with linear constraints can be used to solve matlab program
minGF
- 共轭梯度法,用于求解非线性约束问题,适用于matlab程序-Conjugate gradient method for solving nonlinear constrained problem for matlab program
rbf
- 利用径向基函数神经网络求解非线性函数逼近问题。-Using radial basis function (RBF) neural network to solve nonlinear function approximation problem.
optimize-code
- 涉及数值求积、非线性问题的计算、线性问题的求解的优化计算-Numerical quadrature involves calculating nonlinear problems, solving linear optimization problem of computing
Fast-genetic-residual-static-cor
- 快速遗传剩余静校正方法(FGRS) 关键词: 互相关剩余静校正 遗传算法剩余静校正 快速遗传剩余静校正方法 大剩余静校正量 复杂地质地区(如复杂山地、山前带等),在野外静校正、折射或层析静校正等之后,仍可能存在大剩余静校正量,影响叠加效果。转换波剩余静校正量往往也较大,是转换波地震资料处理的难题之一。针对上述问题,研发了快速遗传剩余静校正方法,其特点是: 地表一致性 组合算法(互相关+遗传算法) 非线性反演 快速高效 全局寻优 可解决大的纵波剩余静
1623759_265590263610232_2015501676_n
- This file describe the optimization problem of the nonlinear systems
Cl_-matcont5p3
- 利用matcont求解连续性非线性动力学问题并画图求出其稳定解-Use matcont problem solving nonlinear dynamics of continuity and drawing its stable solution is obtained
2
- 提升复杂系统的定量决策支持,将成本作为独立变量(CAIV)寻求“最佳”点设计,是一个约束的非线性优化问题,其目标函数是最优有效性度量(MOE)表示,由基于性能的成本模型、二阶约束MOEs、系统性能指标的界限(MOPs)构成。算法采用的是同时扰动随机逼近方法(SPSA)。附件中是二阶约束MOEs模型的仿真程序。附:仿真流程图-Ascend the quantitative decision support of complex systems, will cost as an independen
runoptcon
- MATLAB常用优化求解非线性问题常用方法的程序代码-MATLAB commonly used method of problem solving nonlinear optimization program code
BVPh2_0
- 基于同伦分析方法和计算机数学软件Mathematica开发的软件包BVPh 2.0,可以求解具有多解、奇性、多点边界条件的多种类型的非线性边值问题。-Homotopy analysis method based on mathematical and computer software Mathematica software package developed BVPh 2.0, can be solved with multiple solutions, singularities, var
SQP
- SQP序列二次规划算法是求解约束非线性规划问题的主流方法-SQP sequential quadratic programming algorithm for solving constrained nonlinear programming problem is the mainstream approach
CGM
- 共轭梯度FR法求解非线性优化最小值问题 -FR conjugate gradient method for solving nonlinear optimization problem minimum