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Sphere
- 利用差分进化算法（Differential Evolution）实现对经典函数sphere的验证-The use of differential evolution algorithm (Differential Evolution) to achieve the verification of classical function of sphere
cde
- 这是本人自己写的关于混沌微分进化算法的源码和一篇关于混沌微分进化算法的文献，希望对初学者有一定帮助。-This is my own writing on the chaotic differential evolution algorithm source and a differential evolution algorithm on the chaos literature, hoping there will certainly
measles
- 解边界条件的微分方程的例子，需要熟悉matlab才行-Solution of the boundary conditions of the differential equations examples need to be familiar matlab Caixing
1
- 随机时滞微分方程的时间演化，概率密度及相图-phase diagram of stochastic delay differential equation
Solutionpartialdifferentialequations
- 偏微分方程的MATLAB解法，能快速求解，阐述了其编程思想，很实用-Solution partial differential equations
odeint
- Solving ordinary differential equations in C++development-This article introduces the C++ fr a mework odeint for solving ordinary differential equations (ODEs), which is based on template meta-programming. I think this f
Finite_difference_method
- 有限差分法 微分方程和积分微分方程数值解的方法。基本思想是把连续的定解区域用有限个离散点构成的网格来代替， 这些离散点称作网格的节点；把连续定解区域上的连续变量的函数用在网格上定义的离散变量函数来近似；把原方程和定解条件中的微商用差商来近似， 积分用积分和来近似，于是原微分方程和定解条件就近似地代之以代数方程组，即有限差分方程组 ， 解此方程组就可以得到原问题在离散点上的近似解。然后再利用插值方法便可以从离散解得到定解问题在整个区域
sdfsadfsdafasd123
- Differential Equations (ODE) Solver through Galerkin Method Galerkin方法求解常微分方程组的实现 这个matlab程序通过Galerkin方法求解常微分方程组，当然求解的结果是 Differential Equations (ODE)近似的解。-Differential Equations (ODE) Solver through Galerk
DifferentialCodeDirectionCode
- 基于MATLAB语言，对于图像的链码的差分，以及归一化，以及回复图像的链码-Based on the MATLAB language, for the image of the differential chain code, as well as normalized and responding to the image of the chain code
DeSourceCode
- 差异演化算法的MATLAB程序，程序说明非常详尽，AI研究者必备-Differential evolution algorithm, Matlab
DEELMNN
- 利用差分演化优化极限学习机神经网络的matlab源代码，涉及2个matlab程序-evolutionary extreme learning machine, differential evolution
smallprograms
- bpsk-binary phse shift keying,fsk-frequency shift keying,hamming code,pcm-pulse coded modulation,dpsk-differential phase shift keying
CircuitAnalysisIIwithMATLAB
- Thistext is written for use in a second course in circuit analysis. The reader of this book should have the traditional undergraduate knowledge of an introductory circuit analysis material such as Circuit Analysis I
graphing
- 1100011001的非归零码、曼彻斯特编码、差分曼彻斯特编码、调幅（ASK）、调频（FSK）和调相（PSK）的编码波形示意图-1100011001 of the NRZ, Manchester encoding, differential Manchester encoding, AM (ASK), frequency modulation (FSK) and phase modulation (PSK) waveform diagr
higham
- Scientific Commons: SDELab: stochastic differential equations with ...by H Gilsing - 2006 - Cited by 5 - Related articles 5 Jan 2006 ... We introduce SDELab, a package for solving stochastic differential equations (SDE
cffcqj
- 差分方程求解 实验步骤： 主界面下进入实验五的“差分方程求解”子系统,输入希望看到的输出样点数 1) 输入差分方程系数向量 输入顺序为： ， 。其中 N+1 为差分方程两边系数最大数目，如果有一边输入系数个数小于 N+1，将按不足系数为零计算。 2) 输入系统初始状态向量 输入顺序为 鼠标单击确定按钮，以数值和图形两种方式显示单位冲激响应和输出响应 3） 确定差分方程形式：y(k)-y(k-1)+0.3
matlab
- 算差分盒维数的matlab程序。 让窗口中的每个像素都对分数维作出贡献。首先,计算某一尺度窗口的平均灰度值 ,然后判断每一个像素的灰度 ,若大于灰度平均值 ,则累加其灰度值为 max ,若小于灰度平均值 ,则累加其灰度值为min ,用max 和min代替 在 Sarkar 和 Chaudhuri 算法中的最大值和最小值 ,再通过拟合求出分数维。 -Differential count box dimension matlab progr
Fractional_Differential_Equations_of_Runge_Kutta_m
- 求解分数阶微分方程的Runge_Kutta方法Fractional Differential Equations of Runge_Kutta method-Fractional Differential Equations of Runge_Kutta method
examples
- 二进制差分编码解码，二进制差分相移键控二进制幅移键控，二进制相移键控，二进制频移键控最小频移键控的调制与解调-Differential encoding and decoding binary, binary differential phase shift keying binary amplitude shift keying, BPSK, binary frequency shift keying Minimum Shift Ke
Runge-Kutta
- the Runge–Kutta methods are an important family of implicit and explicit iterative methods for the approximation of solutions of ordinary differential equations.