代码搜索:Matrix

找到约 10,000 项符合「Matrix」的源代码

代码结果 10,000
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inl linearequation.inl

//LinearEquation.inl 线性方程(组)求解函数(方法)定义 // Ver 1.0.0.0 // 版权所有(C) 何渝, 2002 // 最后修改: 2002.5.31 #ifndef _LINEAREQUATION_INL #define _LINEAREQUATION_INL //全选主元高斯消去法 template int L
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hpp bancroft.hpp

/** * @file Bancroft.hpp * Use Bancroft method to get an initial guess of GPS receiver's position */ #ifndef BANCROFT_HPP #define BANCROFT_HPP //================================================
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hpp prsolution.hpp

#pragma ident "$Id: PRSolution.hpp 240 2006-10-15 19:34:42Z architest $" /** * @file PRSolution.hpp * Autonomous pseudorange navigation solution, including RAIM algorithm */ #ifndef PRS_POSITI
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hpp matrixbaseoperators.hpp

#pragma ident "$Id: MatrixBaseOperators.hpp 70 2006-08-01 18:36:21Z ehagen $" /** * @file MatrixBaseOperators.hpp * Matrix operators for the base class */ #ifndef GPSTK_MATRIX_BASE_OPERATORS_H
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java ludecomposition.java

package Jama; /** LU Decomposition. For an m-by-n matrix A with m >= n, the LU decomposition is an m-by-n unit lower triangular matrix L, an n-by-n upper triangular matrix U,
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m fcm.m

function [Umat,Cmat,it,valJ] = fcm(Xdat,K,mfuz,epsilon,itmax); % function [Umat,Cmat,it,valJ] = fcm(Xdat,K,mfuz,epsilon,itmax); % % Fuzzy C-means algorithm for clustering a data set % % Xdat
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htm eigen.htm

Eigen value and eigen vector Prev |
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htm matdcmp.htm

Matrix Decomposition Methods Prev |
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htm sysreq.htm

System Requirements Prev | Up |
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m normald.m

function [p]=normald(X,mi,sigma) % [p]=normald(X,mi,sigma) % % NORMALD calculates the value of many-dimensional probability density % of the normal (Gaussian) distribution for given vectors in t