搜索资源列表
背景差分法实现运动检测
- 运动检测算法
Optimizers
- 一系列好用的用户友好的启发式优化算法，包括非自适应算法，基于模拟退火算法的种群算法，基本遗传算法，差分进化算法以及粒子群优化算法。此外，也包括神圣算法，它利用了所有这些优化算子，虽然有时交换种群之间的不同算法。-A nice set of user-friendly heuristic optimizers. Included are a non-adaptive, population based Simulated Annealing algorithm, a basic Genetic A
wxmg3d
- 利用有限差分算法编写的三维迭后偏移的代码，算法精度高，结果很理想。-Prepared by using three-dimensional finite difference algorithm Diego after the offset of the code, algorithms, high precision, the result very satisfactory.
DEMC
- 基于蒙特卡罗马尔可夫链的差分遗传算法。算法有mc抽样改进，并用差分算法改进遗传优化算法-A Markov Chain Monte Carlo version of the genetic algorithm Differential Evolution: easy Bayesian computing
definite
- 利用有限差分算法计算电势——第一类边界条件-Using finite-difference algorithm to calculate the potential- the first boundary condition
DEcode
- 经典差分算法MATLAB程序,包含.M文件 和各类数据-The classic difference algorithm MATLAB program
四十三种差分格式源代码（Fortran）
- 计算流体力学入门代码，共有43种算法的基础程序(Introduction to computational fluid dynamics)
DE
- 本文件为差分演化算法，实现并带有注释，本自带测试函数。(This document is a differential evolution algorithm, implemented and annotated, which comes with test functions.)
DE_Random
- 本文件为差分演化算法，实现并带有注释，不涉及文件操作，初始种群为随机生成。(This document is a differential evolution algorithm, implemented with annotations, does not involve file operations, and the initial population is randomly generated.)
DE
- 差分进化算法matlab代码，有详细说明，可更改(differential evolution algorithm code with substantial explanation, which is changeable)
Matlab源程序
- 背景差分法，神经网络算法下的Matlab程序交通流实现。(A simulation of Traffic. Based on the Matlab.)
FDTD算法
- 实现了一维边界条件为PEC、PMC的时域差分法。(One dimensional boundary conditions for PEC and PMC are obtained by the time-domain difference method.)
7
- 7 基于纹理复杂度和差分的抗盲检测图像隐写算法(7 against blind detection based on texture complexity and difference image steganography algorithm)
DE
- 实现差分进化算法程序，比较简单，希望有所帮助(Differential evolution algorithm program)
h1.f90
- 一次计算方法作业里的差分方法解方程举例。(yi ci ji suan fang fa zuo ye li de cha fen fang fa jie fang cheng ju li)
SIOA
- 标准粒子群算法(PSO)与差分算法(DE)(Particle Swarm Optimization algorithm)
DeMat
- 几种问题下的多维差分进化算法，包括Chebychev、Eggholder、Michalewicz、Peaks、Rastrigin、Rosenbrock和Zimmermann问题，可以根据不同的需求来改变objfun.m, PlotIt.m,和 Rundeopt.m。(The multidimensional differential evolution algorithm under several problems.)
test
- 差分演化的蒙特卡洛算法通用程序，修改舒服初始模型prior及其最大似然函数即可(solves an important practical problem in RWM, namely that of choosing an appropriate scale and orientation for the jumping distribution.)
自适应混沌差分进化算法 Matlab 程序
- 自适应混沌差分进化算法 Matlab 程序，摘录于知网上一篇博士论文。(Adaptive chaotic differential evolution algorithm Matlab program)
DE
- 用matlab实现的差分进化算法，易于理解和掌握(Differential evolution algorithm based on MATLAB)