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SolidSAP

于 2020-06-16 发布文件大小:8203KB

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berkeley加州大学SAP系列软件之SolidSAP，由Edward L.Wilson教授开发的三维结构源程序，功能强大，代码清晰，含学习手册。(SolidSAP, a three-dimensional structure source program developed by Professor Edward L. Wilson, is a software of the SAP series at the University of California, Berkeley. It has powerful functions, clear code and learning manual.)

文件列表：

SOLIDSAP\CDC, 0 , 2000-02-23
SOLIDSAP\CDC\INPUT, 0 , 2000-02-23
SOLIDSAP\CDC\INPUT\SOLIDSAP.DAT, 25585 , 1997-01-15
SOLIDSAP\CDC\OUTPUT, 0 , 2000-02-23
SOLIDSAP\CDC\OUTPUT\SOLIDSAP.OUT, 316846 , 1997-01-15
SOLIDSAP\CDC\SOURCE, 0 , 2000-02-23
SOLIDSAP\CDC\SOURCE\SOLIDSAP.FOR, 409347 , 1997-08-12
SOLIDSAP\README.TXT, 1520 , 1998-12-08
SOLIDSAP, 0 , 2000-02-23
SEMM-71-19.pdf, 8629629 , 2019-01-20

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GREASESLIDER
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说明：逆BROYDEN迭代法求解非线性方程组：是一种相对比较新的一种方法,克服了牛顿迭代法需要求导数和求逆的缺点。本程序提供解法和画图流程，注意多迭代几步(Inverse BROYDEN iteration method is a relatively new method for solving nonlinear equations, which overcomes the shortcomings of Newton iteration method in derivative and inversion. This program provides solution and drawing process. Remember more several steps of iteration.)

2019-02-10 15:37:57下载

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说明：分别对beta估计值模拟分析、非中心对称分布、卡方拟合优度检验、筛选抽样随机数抽取、有限样本性质模拟这5个内容进行了编程说明(The five contents of beta estimation simulation analysis, non-centrosymmetric distribution, chi-square goodness-of-fit test, random number extraction of screening sampling and Simulation of finite sample properties are explained by programming.)

2019-01-10 09:45:54下载

积分：1
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2010-07-14 21:27:06下载

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王勖成的《有限单元法》资料包，包括pdf书籍、课后习题答案以及有限元分析教学程序FEATP源码！(The package of finite element method by Wang Xucheng, including pdf books, after-school exercise answers and finite element analysis the teaching programFEATP source!)

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abaqus 施加周期性边界条件脚本，通过General_Mpc_Cube输入正确的模型和部件文件运行。(ABAQUS applies periodic boundary conditions to scripts)

2021-03-17 17:19:20下载

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bycgste
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(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method and Newton' s method between a method that takes only a first derivative information, but to overcome the slow convergence of the steepest descent method shortcomings, but also avoid the need to store Newton and computing the inverse Hesse matrix and disadvantages, conjugate gradient method is not only to solve large linear equations of the most useful methods, large-scale nonlinear optimization solution is the most efficient algorithms)

2013-09-13 16:33:21下载

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用Fluent VOF模型模拟单个小水滴落入盛水的水杯之中(Fluent VOF model simulations using a single drop falling into a water glass)

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2013-11-24 23:02:01下载

积分：1

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