搜索资源列表
LinearEquations
- Solve Linear Equations with matlab
yuchou2
- 用matlab解决线性回归问题,在约束条件下求解二次回归问题的极小值-Using matlab to solve linear regression problems, in the constraint solving quadratic regression under the condition of the minimum problem
11
- 神经网络实例集。包括以下几个程序单层线性神经网络实例、感知器神经元解决较复杂输入向量的分类问题、基于感知器神经网络处理复杂的分类问题、数值分析程序matlab-GUI、用BP网络完成函数的逼近源程序、自组织特征映射应用实例-Examples of neural network sets. Procedures include the following examples of single-layer linear neural network, perceptron neuron input
SimulatedAnnealingAlgorithm
- matlab编制的用模拟退火算法解决0-1背包问题的具体实例-matlab prepared using simulated annealing algorithm to solve 0-1 knapsack problem specific examples of
an
- 利用模拟退火解决0-1背包问题,适合初学者。-The use of simulated annealing to solve 0-1 knapsack problem, suitable for beginners.
an-for-tsp
- 利用蚁群算法解决tsp问题,适合初学者。-Tsp using ant colony algorithm to solve the problem, suitable for beginners.
ga-for-tsp
- 利用遗传算法解决50个城市tsp问题,适合初学者。-The use of genetic algorithm to solve the issue of 50 cities tsp, suitable for beginners.
HopfieldTsp
- 用MatLab,编写用Hopfield网络求 解TSP问题(旅行商问题)的程序(城市 数目≥5)-Using MatLab, prepared using Hopfield network to solve TSP problem (TSP) process (the number of cities with ≥ 5)
yichuanyouhuasuanfachengxu
- 遗传优化算法,能够实现自然数域内任意函数的极大值求解,效果很好。这是我的课程实验报告。-Genetic optimization algorithm, to achieve a natural function of the number of arbitrary region of great value to solve, very good. This is my experiment reports courses.
binary_pso_c
- 离散版粒子群算法,MATLAB环境中的,对求解离散优化问题很有帮助.-Discrete version of PSO, MATLAB environment to solve the problem of discrete optimization helpful.
shuzhifenximatlab
- 用matlab解决一些数值分析中常用的算法,如牛顿法、gauss、romberg等-Using matlab to solve some numerical analysis of commonly used algorithms, such as Newton method, gauss, romberg, etc.
ant_colony_algorithm_TSP
- 在大学生或者研究生数学建模竞赛中旅行商优化问题是一个很重要而又难解决的问题,本人自编程蚁群算法智能程序很好的解决此问题。-University students or graduate students in the Mathematical Contest in Modeling in the traveling salesman optimization problem is a very important and difficult to resolve the problem, I s
NIP
- matlab 7.0 以上版本提供了强大的优化工具箱,但在整数规划方面,只提供了bintprog()这个m文件以求解0-1整数规划,而对于一般的整数规划模型没有具体的算法提供。我们一般情况只是用最简单的分值定界思想编写matlab程序求解整数规划问题,但效率低下,如何利用求解整数规划的先进算法编写matlab程序提上日程,香港大学的李端和复旦大学编写的《Nonlinear Integer Programming》(非线性整数规划)为编写解决整数规划问题提供强大有效的算法,其中算法针对具体问题包括
fmincon
- 通过使用matlab优化工具箱中的函数fmincon解决有约束的非线性优化问题,有详细的代码过程。-By using the matlab optimization toolbox function fmincon to solve constrained nonlinear optimization problem, has detailed the process code.
matlab-shudu
- 源码为使用MATLAB求解数独问题,请先下载并学习MATLAB的使用。-Source for the use of MATLAB to solve sudoku problem, please download and study the use of MATLAB.
two-temperature-solve
- 激光与物质的相互作用 双温方程算法 matlab源程序代码-two temperature solve
continuous_hopfield_net_to_tsp
- matlab语言编写的连续hopfield神经网络算法解决tsp-matlab languages consecutive hopfield neural network algorithm to solve tsp
possionequation
- 自己写的求解波松方程的matlab程序 并采用两种方法求解 -Writing their own to solve Poisson equation matlab program and the use of two methods for solving
numerical_analysis_homework
- (有源代码)数值分析作业,本文主要包括两个部分,第一部分是常微分方程(ODE)的三个实验题,第二部分是有关的拓展讨论,包括高阶常微分的求解和边值问题的求解(BVP).文中的算法和算例都是基于Matlab计算的.ODE问题从刚性(STIFFNESS)来看分为非刚性的问题和刚性的问题,刚性问题(如大系数的VDP方程)用通常的方法如ODE45来求解,效率会很低,用ODE15S等,则效率会高多了.而通常的非刚性问题,用ODE45来求解会有很好的效果.从阶次来看可以分为高阶微分方程和一阶常微分方程,高阶的
UCA_SMI
- QR分解SMI算法的目的正是要避免直接来解线性方程,而是将自相关矩阵分解,并利用Givens旋转实现数据矩阵的QR分解,最终将权矢量的求解问题转化为三角线性方程组的求解问题。-QR decomposition SMI algorithm, whose objective it is to avoid directly to solution of linear equations, but will auto-correlation matrix decomposition, and the u