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TheAnalyticalSolutionofTPBVP
- 在最优控制、变分法、微分方程等学科中常遇到两点边值问题( TPBVP ),徒手求取解析 解比较繁；MATLAB 的符号数学工具箱却又仅限于解一点边值问题。本示例阐述如何用符 号数学工具箱解 TPBVP。-In optimal control,variational calculus and differential equation frequently encountered two-point boundary value problems(TPBVP).Free-hand to g
EULER_ALGORITHM
- 非线性常微分方程的Mathematica代码，采用欧拉法求解，dy/dt=f(t,y)的类型。-Mathematica code for nonlinear ordinary differential equations, using Euler s Method, dy/dt = f (t, y) type.
pianweifen
- 一种有效求解数学中偏微分方程的matlab程序，很实用。-An effective solution of partial differential equations in mathematics matlab program, very practical.
stochastic5
- 数值求解随机微分方程的程序！源程序编译自Maple 5.0,但可尝试更高版本的Maple!-The MAPLE Stochastic Package by Sasha Cyganowski,A package for solving stochastic differential equations in maple!
GRKT10
- 最常用的四阶龙格—库塔法求解一阶常微分方程的C语言实现方法-The most commonly used fourth-order Runge- Kutta method for solving a first-order ordinary differential equations of the C language implementation method
v
- 变分方法及其应用，在研究偏微分方程的应用前，先看看其基础理论，对于代码的具体实现以及公式推导都会有帮助-Variational method and its application, the application of partial differential equations in the study before the first look at its basic theory, for the specific implementation code and the formula
calculation_method_Algorithm_Design_and_Implementa
- 本电子书包涵了各种算法的MATLAB实现，具体包括插值方法、数值分析、常微分方程的差分法、方程求根、线性方程组的迭代法、线性方程组的直接法等等，还包括习题参考答案和MATLAB文件汇集-The e-book encompasses the MATLAB implementation of various algorithms, specifically including interpolation methods, numerical analysis, ordinary differenti
Ordinary_Differential_Equation_to_solve
- 用C编写的常微分方程(组)的求解程序，可以参考一下-Ordinary Differential Equations written with C (s) of solving procedures for reference
differentialequations
- 本源码为原创代码。包含分别用改进欧拉方法、龙格-库塔法、阿当母斯法求解形如y =f(x,y)的常微分方程的源代码。希望对用到数值计算算法的起帮助作用。-The source for the original code. Included were the improved Euler method, Runge- Kutta method, Adam mother there method of the form y ' = f (x, y) of ordinary differentia
ped
- 解决偏微分方程的一本非常有用的书籍。说明详细，举例典型-be useful for the solution of PED
ouler
- 微分方程数值解中利用Runge-kutta_fehlberf法计算微分方程 -Numerical solution of differential equations using Runge-kutta_fehlberf differential method
runge
- 四阶龙哥库塔方法求解一阶微分方程的数值解法，能自定义迭代步数和迭代精度，非常适合于计算方法的初学者。-Long Ge Kuta fourth-order methods for a numerical solution of differential equations can be customized and iterative iterations precision calculation method is suitable for beginners
Lecture4
- 关于解微分方程的matlab小程序，适合本科生学习使用。-MATLAB in Physics is a four lecture series in MATLAB that is offered to first year physics undergraduate students. This lecture shows how to use MATLAB to simulate physical systems using a range of methods. Projecti
FOChS
- matlab程序模拟微分方程。各种流行的系统显示混沌运动特征。-This toolbox contains the functions which can be used to simulate some of the well-known fractional order chaotic systems, such as: - Chen s system, - Arneodo s system, - Genesio-Tesi s system, - Lorenz s syste
double_pendulum
- 求解简单微分方程。模拟双摆运动并附简单说明材料。-For animation, the program uses Matlab s normal plot command combined with the drawnow command. It is based on the ode45 solution of the corresponding differential equations. Comprehensive documentation is provided, incl
numericalcomputation
- 数值计算方法, 包含插值法部分, 解方程部分, 矩阵部分, 求解微分方程部分和数值积分部分-Numerical methods, including interpolation part, solve some equations, matrix part, solving differential equations and numerical integral part of some
pianweifen
- 本程序采用matlab求解常见的几种偏微分方程-This procedure uses matlab partial differential equations to solve several common
CAlgorithm
- 特别强悍！包含了我们在学习中遇到的各种算法：如插值、查找、汉字操作，数值积分、微分方程求解等等许多！-Particularly tough! Included in our study encountered in the algorithm: If interpolation, find, Chinese operations, numerical integration, solving differential equations and so many!
sijielonggekutafajieyijiechangweifenfangcheng
- 本程序是用Visual Biasic 实现用四阶龙格-库塔方法对一阶常微分方程（其通式为dy/dx=m-qx（m，q为常数））求解，并用点表示出各函数值在坐标轴上的位置。 龙格-库塔（Runge-Kutta）方法是一种高精度的单步法，比欧拉格式更精确，它采用了间接使用泰勒级数的技术。他既保留了泰勒公式的精度高的特点又避免过多的计算导数值。他是有泰勒公式推倒出的，因此它要求所求的解应具有较好的光滑性。 坐标表示其位置，这样可以直观的看出不用微分方程解的位置以及它们的联系。 -This
adm
- admin 偏微分方程数值解，算法C++实现-admin algorithm C++ Implementation