搜索资源列表
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
A_class_of_Linear_ODE_WITH_Finite_Recursion
- 求一类常系数线性常微分方程特解的有限递推法-A class of Linear Ordinary Differential Equations with Finite Recursion
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
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
ODE
- 这个例子演示了如何使用这两个公式的字符串模式的多态性常微分方程求解器。-This example demonstrates how to use the polymorphic ODE solver in both Formula String mode and VI mode.
LITI823
- 有限差分法解二阶常微分方程边值问题。计算更为简便,精度更高-Finite Difference Method for Solving Boundary Value Problems for Second Order Ordinary Differential Equations. Computing easier, more accurate
Runge-Kutta
- 龙格-库塔法(Runge-Kutta)是用于模拟常微分方程的解的重要的一类隐式或显式迭代法。-Runge- Kutta method (Runge-Kutta) is used to simulate the ordinary differential equations of an important class of implicit or explicit iterative method.
differentialequations
- 关于Matlab中常微分方程的数值解法以及其Matlab实验的源代码-Numerical solution of differential equations
gaijinoula
- 常微分方程中的改进欧拉算法的c/c++程序上机实现-Ordinary Differential Equations in the Improved Euler algorithm c/c++ program on the machine to achieve
MATLAB_programming_algorithm_source_of_Ordinary_Di
- MATLAB程序设计之常微分方程算法源码MATLAB programming algorithm source of Ordinary Differential Equations-MATLAB programming algorithm for ordinary differential source MATLAB programming algorithm source of Ordinary Differential Equations
lq
- 所编子程序为标准四阶龙格库塔解常微分方程的程序,可以不作修改直接使用。再则,主程序当中用一个方程验证其正确性,并可以输出函数的一阶导。-Subroutine, compiled by a standard fourth order Runge-Kutta ordinary differential equation solution procedure can be used directly without modification. Furthermore, the main program
Ordinary_Differential_Equations_practical_coursewa
- 常微分方程的实用课件Ordinary Differential Equations practical courseware-Practical ODE Ordinary Differential Equations practical courseware Courseware
MatlabandChemicalEngineeringCalculation
- 介绍Matlab在化工方面的数值计算应用,课件主要讲述化工领域非线性、线性方程组的解法,插值、拟合和常见常微分方程的解法。-Introduced in the chemical aspects of Matlab numerical computing applications, courseware mainly about the chemical field of nonlinear, solution of linear equations, interpolation, fitting
lab432
- Matlab动力系统和时间序列分析工具箱:这个工具箱用来分析动力系统和时间序列,它可以定制为:常微分方程、随机微分方程。所有分析的方法被封装在工具箱中,你可以通过命令行或GUI来调用。包含的功能: ODE常微分方程, SDE随机微分方程和map integration 分析时间序列,过滤、归一化/均衡化、直方图、2D直方图、ACF, MAI, FFT,最大lyapunov指数计算、模式识别。 动力系统分析:创建Poincare截面、分岔图、计算lyapunov指数。-The kit us
eularjiefangcheng
- 欧拉法解常微分方程,并与四阶龙格库塔法比较-Euler method for solving ordinary differential equations, and fourth-order Runge-Kutta method with the comparison
suanfa
- 数值解与理论解对比可知,四阶龙格-库塔法的精度已经很高,用它来解一般常微分方程已经足够了。-Numerical comparison shows that the theoretical solutions, Runge- Kutta method has high accuracy, and use it to solve ordinary differential equations general enough.
Complete-collection-of-algorithm
- 算法大全 全书分30章及2附录(在MATLAB中实现)对常用数学算法进行汇总介绍。 主要包括:线性规划、非线性规划、动态规划、图与网络、排队论、对策论、层次分析法、插值与拟合、数据的统计描述和分析、方差分析、回归分析、微分方程建模、稳定状态模型、常微分方程解法、差分方程模型、马氏链模型、变分法模型、神经网络模型、偏微分方程的数值解、目标规划、模糊数值模型、现代优化算法、时间序列模型、存贮论、经济与金融的优化问题、生产与服务运作管理中的优化问题、灰色系统理论及其应用、多元分析、偏最小二乘回归以
ODE_FEM
- 采用有限元方法求解二阶常微分方程,分别划分和不划分子元采用配置法、最小二乘法、矩量法和Galerkin法,对初学有限元的童鞋很有帮助:)-Finite element method to solve ordinary differential equation, respectively, by sub-element division and do not use collocation method, least squares method, moment method and Galer