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PLS_NIPALS
非线性迭代偏最小二乘的MATLAB代码,可用于光谱数据的建模(MATLAB code of NIPLS)
- 2012-08-23 10:04:38下载
- 积分：1
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u1_zhiluzhuijiaqiuzukongjuzhen
利用支路追加法求阻抗矩阵,解：输入数据如下:
请输入节点数:n=a
请输入支路数:nl=b
请输入由支路参数形成的矩阵:
B=[i j z bc t it ......]其中ij为支路端点，z为支路阻抗，bc为对地电容，t为变压器变比，it表示i端点是否与变压器直接相连。
(Seek additional method using branch impedance matrix)
- 2020-07-29 20:18:38下载
- 积分：1
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schur-decomposition(real)
实对称矩阵的schur分解，编译即可运行，需要文件输入(schur decomposition for real symmetric matrix,the program can run successfully, you need a file for input)
- 2016-03-11 16:20:03下载
- 积分：1
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clc
一维热传导模型，一维稳态热传导模型，有限差分法(One dimensional heat conduction model)
- 2018-09-15 08:40:17下载
- 积分：1
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lssvmprediction
最小二乘支持向量机做预测。程序可运行学习。在matlab上运行。(This is a program about prediction using LSSVM.It can run successfully for learning.This program can be used on matlab.)
- 2013-08-12 20:17:12下载
- 积分：1
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lbp
Local Binary Pattern
- 2011-09-28 18:17:48下载
- 积分：1
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numerical-analysis
高斯-塞德尔迭代、拉格朗日差值、牛顿法、四阶龙格库塔
与数值分析有关的公式(Gauss- Seidel iteration)
- 2013-07-01 14:45:14下载
- 积分：1
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distance
C++程序求两点距离 可以点入坐标点(C++ program distance between two points)
- 2013-01-08 22:03:02下载
- 积分：1
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multipeek-function
说明： 此是多峰函数MATLAB程序，多峰函数在解决多峰曲线问题中经常会用到，有此程序代码可以省去很多麻烦。(This is a multi-peak function MATLAB program, multi-peak function, multi-peak curve in the settlement of the question is often used, there is such a code can save a lot of trouble.)
- 2010-03-21 12:56:39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
