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ordinary-differential-equations
- 利用Matlab 实现常微分方程数值解法； 利用编制的算法求解若干常微分方程； -Numerical Solution of Ordinary Differential Equations using Matlab Prepared by the algorithm for solving certain ordinary differential equations
C-language-algorithm-code
- 用C语言编写了科研和工程中最常用的算法，这些算法包括复数运算、多项式的计算、矩阵运算、线性代数方程组的求解、非线性方程与方程组的求解、代数插值法、数值积分法、常微分方程（组）初值问题的求解、拟合与逼近、特殊函数、极值问题、随机数产生与统计描述、查找、排序、数学变换与滤波等。-Written in C for scientific and engineering of the most commonly used algorithm, the algorithm include the plura
euler
- 用欧拉方法求解一阶常微分方程初值问题，数值解法-use euler method to solve ordinary differential equation
rungekutta
- runge kutta方法求解常微分方程-the Runge–Kutta methods (German pronunciation: are an important family of implicit and explicit iterative methods for the approximation of solutions of ordinary differential equations. These techniques were developed around 1900
odebvp
- 常微分方程的两点边值问题的求解程序。程序使用matlab编写。-A program to solve two-point boundary value problems for ODE
NR_C301
- 数值计算方法，包括插值和拟合、数值微分和数值积分、求解线性方程组的直接法和迭代法、 计算矩阵特征值和特征向量和常微分方程数-Numerical methods, including interpolation and fitting, numerical differentiation and numerical integration of direct methods and iterative methods for solving linear equations, computing
CPP-Classical-algorithm
- 插值 查找 常微分方程(组)的求解 多项式与连分式函数的计算 非线性方程与方程组的求解 复数运算 汉字操作 基本图形操作 极值问题 矩阵特征值与特征向量的计算 拟合与逼近 排序 数据处理与回归分析 数学变换与滤波-Interpolation to find the ordinary differential equation (group) polynomial continued fraction function to calculate
DEmo
- 利用matlab语言实现常微分方程的求解，可以很好的解决常微分方程问题-Matlab language to achieve the solution of ordinary differential equations, can solve the problems of ordinary differential equations
seullerro
- 求解一阶常微分方程的两个欧欧拉法，先前欧拉与改进梯形法。 -Solving two first-order ordinary differential equations Ouou La Law, previously Euler and improved trapezoidal method.
RK4
- 求解常微分方程的龙格-库塔（Runge - Kutta）法-Ordinary differential equations RungeKutta method
MATLABweifenfangchegn
- matlab求解常微分方程源程序示例程序-matlab solving ordinary differential source sample program
Matlab
- 本书精选了科学和工程中常用的200余个算法，全部采用MATLAB语言编程实现，并结合实例对算法程序进行验证和分析。本书分为上下两篇，上篇为MATLAB基础篇，主要介绍MATLAB的基本功能和操作以及MATLAB程序设计的入门知识；下篇为算法程序篇，主要讲述以下方面常用算法的MATLAB实现，包括插值、函数逼近、矩阵特征值计算、数值微分、数值积分、方程求根、非线性方程组求解、解线性方程组的直接法、解线性方程组的迭代法、随机数生成、特殊函数计算、常微分方程的初值问题、偏微分方程的数值解法、数据统计和
matlab-Numerical-calculation
- matlab 数值计算源代码例子及运行结果。 一元函数的极值 多元函数的极值 数值积分 求解常微分方程-matlab numerical source code examples and the results. Unary function extremum Multi-function extremum Numerical integration Solving Ordinary Differential Equations
matlab-for-differential-equations
- 常微分方程的初值问题与偏微分方程的数值求解问题-Initial value problems for ordinary differential equations and partial differential equations numerical solving problems
ODE-problem
- 使用AB4和AK4方法求解常微分方程初值问题-solve initial value problem of ordinary differential equation （ODE）using AB4 and AK4 method
R-K-and-Adams
- 常微分方程初值问题的数值解法 本程序主要采用经典四阶的R-K方法和四阶Adams预测-校正方法来求解常微分方程的数值解。 -Numerical Solution of Ordinary Differential Problems of this procedure using the classical fourth-order RK method and fourth-order Adams prediction- correction method to solve the nume
rkf
- Runge-kutta-Fehlberg法求解一阶非线性常微分方程-Runge-kutta-Fehlberg method to solve first-order nonlinear ordinary differential equations
lineshoot
- 线性微分方程边值问题打靶算法Matlab程序，注意该算法只能完成二阶常微分方程双边值问题求解，至于其他形式的边值问题必须先转换到二阶形式-Linear Differential Equations with Boundary Value Shooting Algorithm Matlab program, note that the algorithm can only complete the second-order ordinary differential equation bounda
RungeKutta
- 求解常微分方程的RungeKutta法的matlab程序-matlab code about RungeKutta
codes-for-numerical-analysis
- 高教版数值分析的matlab代码,误差与范数,非线性方程（组）的数值解法,解线性方程组的直接方法,解线性方程组的迭代法,矩阵的特征值与特征向量的计算,函数的插值方法,函数逼近与曲线（面）拟合,数值微分，数值积分，常微分方程（组）求解-entire codes for numerical analysis based on matlab