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Description: 用Admas四阶预估-校正算法的PECE模式求下列初值问题的数值解，步长h=0.1。-with Adams estimated four bands- correction algorithm PECE following initial model for the numerical solution of the problem, Step-h = 0.1.
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Author: yuyu |
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Description: 解线性方程组的Jacobi,Gauss_Seidel,SOR迭代，以及四级四阶Runge_Kutta方法，Adams预估校正算法-Solution of linear equations of Jacobi, Gauss_Seidel, SOR iteration, as well as Runge_Kutta four fourth-order method, Adams forecast correction algorithm
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Author: xinrui |
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Description: 常微分方程组adams数值解法以及非线性方程的二分法解法-Adams Ordinary Differential Equations Numerical Solution of nonlinear equations as well as the dichotomy method
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Author: secret |
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Description: 实现了瑞丽分布信道，来斯信道分布和阴影衰落信道的仿真-Ruili achieved distribution channel to channel distribution and Adams shadow fading channel simulation
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Author: 杨友福 |
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Description: Adams四阶预测的源码，供大家学习使用-Adams fourth-order prediction of the source for studying the use of U.S.
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Author: 黄路遥 |
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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
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Author: wjl |
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Description: 转载：众所周知有限元解决振动问题的能力还是有限的, 比如做齿轮啮合过程的动力学模拟就要同时涉及到接触和动力反映两个主要方面. 目前处理此类问题最成熟的软件当属MSC.ADAMS, 但ADAMS也只能在模拟过程中做到弹性与刚性接触而已! 据我所知, 已不止两位研究生试图用LS-DYNA来做此类模拟, 他们忽略了(或没搞清楚) LS-DYNA只能处理瞬态问题, 而对于该过程的模拟也是无能为力的!!! 结果是浪费了大量的时间, 甚至机会. 这本应是导师的责任, 但许多高龄导师对现代软件的不熟悉也是....那么此类问题的具体解决方案在哪里? Vibration Simulation Using Matlab and ANSYS 给出了答案. 掌握书中的内容意义非同小可! 这对于要从事CAE工作的将会受益(起码在今后20年内).随着我国经济的高速发展 解决资本积累必将是要遇到的问题, 工程(设备)维护, 系统监测也将(象发达国家)成为CAE非常重要的部分. 早早入手就能使你立于不败之地!-This book has three main purposes. The first purpose is to cc..-ct in one
document the various methods of constructing and representing dynamic
mechanical models. The second purpose is to help the reader develop a strong
understanding of the modal analysis technique, where the total response of a
system can be constructed by combinations of individual modes of vibration.
The third purpose is to show how to take the results of large finite element
models and reduce the size of the model (model reduction), extracting lower
order state space models for use in MATLAB.
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Author: 何红亚 |
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Description: Large Eddy Simulation of Turbulent Flow in a Two-Dimensional Channel-Large Eddy Simulation of Turbulent Flow in a Two-Dimensional Channel
SGS Model .... Smagorinsky Eddy Viscosity Model
Spacial FDM .... 2th order, Central, Staggered mesh
Time Marching .... Nonlinear & Viscous : 2nd Adams-Bashforth
Pressure & Continuity: Backward-Euler
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Author: justin |
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Description: 用Matlab实现亚当姆斯法，用来进行控制系统的仿真。-Using Matlab to achieve Adams method, used for control system emulation.
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Author: 杜欢 |
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Description: 基于matlab的suspension system 优化-adams suspension system optimization
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Author: cairibbon |
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Description: MATLAB程序设计之数值积分和方程算法设计教程-MATLAB programming of numerical integration and equation algorithm design tutorial
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Author: hongqing |
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Description: matlab与admams联合控制的一个程序，这是一个实例，它在matlab中实现控制。-matlab joint with adams to control
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Author: 周徐斌 |
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Description: 用四阶亚当斯显式公式求解常微分方程初值问题是一种比较有效的方法-Adams with the fourth-order explicit formula for solving ODEs is a more effective method
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Author: honghong |
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Description: 四阶经典RK算法和四阶Adams预测-校正算法是求解微分方程时经常用的方法，本文进行了比较，提供了算例和程序-Classical RK method of fourth order and fourth-order Adams predictor- corrector algorithm is often used to solve the differential equation method, this article compares and provides examples and procedures
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Author: 陈岩 |
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Description: 提供adams matlab联合仿真，供大家参考-adams matlab
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Author: xiang |
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Description: This is a matlab code
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Author: kasani
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Description: 这是一些我自己编写的算法实现，包括阿达姆斯，牛顿，尤拉方法等等算法(This is my own written algorithm, including Adams, Newton, Euler method and algorithm)
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Author: 剑姬2
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Description: Berg M摩擦力模型Matlab Simulink-adams联合仿真(Matlab Simulink-adams Joint Simulation of Berg M friction Model)
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Author: 张恬恬恬 |
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Description: 11.1 Euler方法 380
11.1.1 Euler公式的推导 380
11.1.2 Euler方法的改进 383
11.2 Runge-Kutta方法 385
11.2.1 二阶Runge-Kutta方法 385
11.2.2 三阶Runge-Kutta方法 388
11.2.3 四阶Runge-Kutta方法 390
11.2.4 隐式Runge-Kutta方法 391
11.3 线性多步法 392
11.3.1 Adams外推公式 392
11.3.2 Adams内插公式 394
11.3.3 Adams预测校正公式 395
11.4 微分方程组的数值解 397
11.4.1 Euler方法 397
11.4.2 经典四阶Runge-Kutta方法 398
11.4.3 高阶方程组的求解 399
11.5 刚性方程组的数值解 401
11.5.1 梯形公式 401
11.5.2 隐式Runge-Kutta方法 402
11.5.3 Adams隐式公式 403
11.6 边值问题的数值解 405
11.6.1 打靶法 405
11.6.2 差分法 409
11.7 MATLAB自带函数应用 411
11.7.1 ode系列函数 411
11.7.2 bvp系列函数 414
11.8 应用案例 416(numerical methods for ordinary differential equations)
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Author: XWLYF |
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Description: 采用第二类拉格朗日动力学方程，选取合理的广义坐标，写出动能、势能、广义力，建立该系统的动力学方程。采用Matlab与ADAMS，以四阶隆格-库塔时域积分算法为基础，编制积分求解程序，程序可对驱动力和力矩进行输入。同时利用线性代数的知识，求解系统的特征频率，了解系统的固有频率特性。并在ADAMS中进行仿真验证及优化。(Using the second type of Lagrangian dynamic equation, select reasonable generalized coordinates, write out the kinetic energy, potential energy, and generalized force, and establish the dynamic equation of the system. Using Matlab or other language tools, based on the fourth-order Runge-Kutta time-domain integration algorithm, the integration solving program is compiled, and the program can input the driving force and torque. At the same time, use the knowledge of linear algebra to solve the characteristic frequency of the system and understand the natural frequency characteristics of the system.)
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Author: nole9807 |
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