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Global-Newton-Raphson
全局牛顿-拉普森方法求解非线性方程组，自动搜索步长，进一步保证了程序的收敛(Global Newton-Raphson method for solving nonlinear equations. The steps can be found automatically. The convergence is better than the common Newton-raphson method.)
- 2013-06-27 12:00:34下载
- 积分：1
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shuffle
利用拉格朗日松弛法求解机组组合问题，考虑领域搜索的随机性(Using Lagrangian relaxation method to solve the unit combination problem, considering the randomness of the search field)
- 2013-01-24 17:31:35下载
- 积分：1
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usercreep
编制了theta映射法的ansys蠕变子程序(a creep subroutine of ansys that considered the theta-projection method)
- 2018-06-19 14:19:39下载
- 积分：1
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burgers
说明： 大名鼎鼎的burges 方程的Fortran语言程序。Burges方程式源项为零的NS方程，在某些情况下市很有用的。(Famous burges equation Fortran language program. Burges equation source term to zero NS equations, in some cases, city, very useful.)
- 2010-03-30 11:04:53下载
- 积分：1
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sne
说明： 一种基于概率的数据降维处理方法：Stochastic Neighbor Embedding(Based on the probability of data dimensionality reduction approach: Stochastic Neighbor Embedding)
- 2008-11-05 09:15:32下载
- 积分：1
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ZCXLJ
支持向量机和BP神经网络都可以用来做非线性回归拟合，但它们的原理是不相同的，支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。大量仿真证实，支持向量机的泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合(Support vector machines and BP neural network can be used for non-linear regression fit, but they is not the same principle, support vector machine based on structural risk minimization theory, generally considered its generalization ability than the neural network of strong . Inherent defect- a large number of simulation confirmed that generalization ability of support vector machine is stronger than the BP network, but also to avoid neural network training results unstable. The source code can be used for linear regression, nonlinear regression, nonlinear function fitting a variety of applications, data modeling, forecasting, classification)
- 2020-09-18 19:27:53下载
- 积分：1
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ALGO2-2
Algo2-2.c C program for implementing Algorithm 2.2
Algorithm translated to C by: Dr. Norman Fahrer
IBM and Macintosh verification by: Daniel Mathews
NUMERICAL METHODS: C Programs, (c) John H. Mathews 1995
To accompany the text:
NUMERICAL METHODS for Mathematics, Science and Engineering, 2nd Ed, 1992
Prentice Hall, Englewood Cliffs, New Jersey, 07632, U.S.A.
Prentice Hall, Inc. USA, Canada, Mexico ISBN 0-13-624990-6
Prentice Hall, International Editions: ISBN 0-13-625047-5
This free software is compliments of the author.
E-mail address: in "mathews@fullerton.edu"
Algorithm 2.2 (Bisection Method).
Section 2.2, Bracketing Methods for Locating a Root, Page 61
- 2010-01-25 02:33:30下载
- 积分：1
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fft_base2
本程序用于实现快速傅里叶变换的快速算法
％ 为代码简便所有*2操作均直接实现，实际应采用二进制左移实现
(This procedure used to realize fast Fourier transform fast algorithm of all the code is simple to operate* 2 are referred directly to realize the actual binary left should be used to achieve)
- 2008-05-17 10:59:43下载
- 积分：1
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AFD_MATLAB
AFD（自适应傅立叶变换）的matlab实现代码(the matlab code of AFD algorithm)
- 2017-12-11 16:54:28下载
- 积分：1
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jisuanqi
一个计算器，实现加减乘除等，适合初学者学习，代码很全，自己写的。(A calculator to realize, Math, etc., suitable for beginners to learn, the code is all that he wrote.)
- 2011-07-10 12:38:30下载
- 积分：1
