Description: 数值分析最常用的四十种算法，使用c++/matlab实现-numerical analysis of the 40 most commonly used algorithms, the use of c/Matlab achieve Platform: |
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Author:cwj |
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Description: 徐士良写的《数值分析与算法》，这是随书的源程序，有需要的朋友可以下来看看！-XU Shi-liang wrote the "Numerical Analysis and algorithm", it is with the source, a friend in need can look down! Platform: |
Size: 95232 |
Author:刘韬 |
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Description: 《数值分析》第三版英文影印版，书中几乎全部的算法的matlab代码-"Numerical Analysis," the third edition of the English version of photocopying book almost all the Matlab code algorithm Platform: |
Size: 9216 |
Author:庞 |
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Description: 一种数值分析常用的欧拉算法,用matlab实现的-Numerical Analysis of a commonly used Euler algorithm, achieved using matlab Platform: |
Size: 11264 |
Author:wlq |
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Description: 数值分析实验报告!包含多个实验！
实验一 非线性方程求根
实验二 线性代数方程组的解法
--------列主元Gauss消元法
实验三 线性代数方程组的解法
——Gauss-Seidel迭代法等-Numerical Analysis of the experimental report! Contains more than one experiment! Experiment 1 Experiment 2 roots of nonlinear equations of linear algebraic equations the solution out PCA Gauss elimination method experiment trilinear solution of algebraic equations- Gauss-Seidel iteration method, such as Platform: |
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Author:geoshion |
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Description: (有源代码)数值分析作业,本文主要包括两个部分,第一部分是常微分方程(ODE)的三个实验题,第二部分是有关的拓展讨论,包括高阶常微分的求解和边值问题的求解(BVP).文中的算法和算例都是基于Matlab计算的.ODE问题从刚性(STIFFNESS)来看分为非刚性的问题和刚性的问题,刚性问题(如大系数的VDP方程)用通常的方法如ODE45来求解,效率会很低,用ODE15S等,则效率会高多了.而通常的非刚性问题,用ODE45来求解会有很好的效果.从阶次来看可以分为高阶微分方程和一阶常微分方程,高阶的微分方程一般可以化为状态空间(STATE SPACE)的低阶微分方程来求解.从微分方程的性态看来,主要是微分方程式一阶导系数大的时候,步长应该选得响应的小些.或者如果问题的性态不是太好估计的话,用较小的步长是比较好的,此外的话Adams多步法在小步长的时候效率比R-K(RUNGE-KUTTA)方法要好些,而精度也高些,但是稳定区间要小些.从初值和边值来看,也是显著的不同的.此外对于非线性常微分方程还有打靶法,胞映射方法等.而对于微分方程稳定性的研究,则诸如相平面图等也是不可缺少的工具.值得提出的是,除了用ode系类函数外,用simulink等等模块图来求解微分方程也是一种非常不错的方法,甚至是更有优势的方法(在应用的角度来说).-(Source code) numerical analysis homework, this docment includes two parts, the first is ordinary differential equations (ODE) of the three examples, the second part is about the expansion of the discussion, including the higher-order ordinary differential & boundary value solution Problems (BVP). the text of the algorithm and numerical examples are based on the Matlab. ODE from the rigid (STIFFNESS) look into the issue of non-rigid and rigid problem, rigid problems (such as large coefficient VDP equation) such as using the always method ODE45 used to solve the problems , efficiency will be low, with ODE15S the other hand, many of the high efficiency. and the usual problem of non-rigid, there will be used to solve ODE45 very good results. Judging from the order can be for high-order differential equations and first-order ordinary differential equations, higher-order differential equations can be transformed into a general state space (STATE SPACE) used to solve the low-order different Platform: |
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Author:wjl |
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Description: GUI界面例子 具体关于数值分析的很多，也很齐全，有用-GUI interface on the numerical analysis of specific examples of the many Platform: |
Size: 35840 |
Author:张武 |
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Description: 数值分析程序matlab-GUI----第一型三次样条插值函数（包括M文件和GUI）-Numerical analysis matlab-GUI---- the first type of cubic spline interpolation function (including M documentation and GUI) Platform: |
Size: 8192 |
Author:jzhuang |
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Description: 数值分析算法程序使用Ｃ＃编写！-Numerical analysis algorithms using C# program to prepare! Numerical analysis algorithms using C# program to prepare! Platform: |
Size: 3047424 |
Author:yangzhenyu |
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Description: Numerical Methods Using Matlab (4th Edition),John H. Mathews (Author), Kurtis K. Fink (Author).This book provides a fundamental introduction to numerical analysis. This book covers numerous topics including Interpolation and Polynomial Approximation, Curve Fitting, Numerical Differentiation, Numerical Integration, and Numerical Optimization. For engineering and computer science fields. Platform: |
Size: 21381120 |
Author:wenhs |
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