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stochastic-computation
TGM.m \传统的Galerkin方法
MD.m \时滞惯性流形方法
brownian.m \演示布朗运动
randomwalk.m \ 演示随机游走
tumor.m \ 演示tumor演化(TGM.m traditional Galerkin method MD.m Delays inertial manifold method brownian.m demo Brownian motion randomwalk.m demo random walk tumor.m demo tumor evolution)
- 2013-08-28 18:00:23下载
- 积分：1
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ComputationalElectromagnetics
计算电磁学基础教材， 包括MOM FEM FDTD(fundmental materail for beginner include MOM FEM FDtd)
- 2009-06-15 22:22:24下载
- 积分：1
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fortran
圆柱绕流的数值模拟（基于有限体积法），Fortran程序(Numerical simulation of flow around a cylinder (based on the finite volume method), Fortran program)
- 2009-11-21 18:21:30下载
- 积分：1
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socp_beamforming
基于二阶锥约束的方向不变恒定束宽波束形成(Based on the direction of the same second-order cone constraint constant beamwidth beamforming)
- 2020-11-25 16:19:33下载
- 积分：1
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mixfft
基于多点的快速傅立叶变换算法C++开发环境(based on multi-point fast Fourier transform algorithm C Development Environment)
- 2006-10-15 18:22:43下载
- 积分：1
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fluent-UDF
说明： 常用的fluent边界条件的控制UDF，包括动网格UDF(Commonly used control UDF of fluent boundary conditions, including moving grid UDF)
- 2020-12-16 19:21:13下载
- 积分：1
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CAIC_M1
梁的有限元开裂分析代码，包括不同的裂纹形式，裂纹数目等(Finite element analysis of beams cracking the code, including different forms of crack, crack number, etc.)
- 2011-05-13 20:31:30下载
- 积分：1
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数值分析实验
说明： 数值分析实验1.明确插值多项式和分段插值多项式各自的优缺点；
编程实现拉格朗日插值算法，分析实验结果体会高次插值产生的龙格现象；(Experiments of numerical analysis 1. Define the advantages and disadvantages of interpolation polynomials and piecewise interpolation polynomials. The Lagrange interpolation algorithm is programmed, and the Runge phenomenon produced by high-order interpolation is analyzed.)
- 2019-04-30 22:30:36下载
- 积分：1
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Conjugate-Gradient-Method
共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method between the method and Newton' s method, it takes only a first derivative information, but to overcome the steepest descent method convergence slow shortcomings, but also to avoid the Newton method needs to be stored Hesse and disadvantages of computing inverse matrix and the conjugate gradient method is not only one of the most useful methods to solve large linear equations, solution of large-scale nonlinear optimization is one of the most effective algorithm. In various optimization algorithm, conjugate gradient method is a very important one. The advantage is that a small amount of memory required, with step convergence, high stability, and does not require any external parameters.)
- 2017-03-14 15:48:15下载
- 积分：1
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nonliearvibration
说明： 非线性振动教程，学习振动的学者们必须看的东西。(Nonlinear vibration tutorial, learning vibration scholars must look at things.)
- 2008-11-10 16:15:30下载
- 积分：1
