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Gaussian-elimination
- 高斯消去法,是线性代数中的一个算法，可用来为线性方程组求解，求出矩阵的秩，以及求出可逆方阵的逆矩阵-Gaussian elimination
Matrix-CAI-20075894940384
- 线性代数计算器，包括求幂、求逆、对角化、二次型化标准型-Matrix calculator, including exponentiation, inversion, diagonalization, quadratic standard
Gauss-Seidel
- 本文件含有Gauss-Seidel求解方程组的解，Gauss列选主元消去法解线性代数方程组Ax=b的解，经验证正确。-This document contains the Gauss-Seidel solution for solving equations, Gauss column pivoting elimination method for solving linear algebraic equations Ax = b, solution, proven correct.
gongcheng
- 实现实数、复数、各种进制下的科学计算 大整数计算 线性代数计算 多项式求复数根的计算 多功能计算器-For all real Numbers, complex, in base of scientific computing Large integer calculation Linear algebra calculation The calculation of roots of polynomials and the plural Multi-functio
Jacobi_Gauss
- 高斯雅克比迭代和高斯赛德尔迭代的源码，用于求解线性代数方程组。-Gauss Jacobi and Gauss Seidel
LUDCMP
- 解线性方程组 LU分解法 求解系数矩阵为非奇异的线性代数方程组Ax=b,它能串联式地逐次解A相同b不同的方程组。本方法也叫杜利特尔(doolittle)方法-Linear Equations LU decomposition method for solving non-singular coefficient matrix of linear algebraic equations Ax = b, it cascaded to the same b successive solutio
ACHOL0
- 用乔里斯基分解法(即平方根法)求解系数矩阵为对称正定、且右端具有多组常数向量的线性代数方程组AX=D-Using Cholesky decomposition method (ie, square root method) for solving the coefficient matrix is symmetric positive definite, and the right end of the constant vector with multiple gr
ACJDN
- 用全选主元高斯-约当消去法求解系数矩阵相同而具有多组右端常 数向量的复系数线性代数方程组AX=B-PCA Gaussian with Select- Jordan elimination method for solving the same coefficient matrix and constant vector with multiple groups of the right end of the complex coefficients of linear algebraic e
ampblas-16811
- 线性代数计算库，用于数字计算，系统建模，统计，数字信号处理中-Linear algebra library for digital computing, system modeling, statistics, digital signal processing
Out-PCA-Gaussian-elimination-method
- 数值线性代数 高斯列主元消去法的C++具体实现过程 -Out PCA Gaussian elimination method
Complex-matrix-inversion
- 该程序能够实现线性代数中复矩阵求逆问题，读者可在原基础上进行修改-Complex matrix inversion.zip
armadillo-3.2.2.tar
- armadillo-3.2.2.tar Armadillo C++ Library 是一种C++的线性代数库（矩阵数学）以取得良好的平衡速度与易用性-Armadillo is a C++ linear algebra library (matrix maths) aiming towards a good balance between speed and ease of use
GAOS
- 用高斯消去法求解下列线性代数方程组,这是一个例子，供参考-Gaussian elimination method for solving the following linear algebraic equations, which is an example for reference
Matlab--
- Matlab得基础教程，其在高等数学，线性代数，数值分析中应用和实现，以及较经典的数学建模。-Matlab was based tutorial, its higher mathematics, linear algebra, numerical analysis and implementation of applications, as well as more classical mathematical modeling.
hs_err_pi
- matlab基础学习资料实例，包括符号运算，绘图以及基础编程，也包含线性代数实验及matlab在在线性代数中的应用-Examples matlab-based learning materials, including symbolic computation, graphics and basic programming, linear algebra also contains experimental and matlab applications of linear algebra
SHUZHIFENXI_(7-3)CHAPTER3
- 数值分析_(7-3)第3章__线性代数计算方法.ppt-Numerical analysis _ (7-3) Chapter 3 __ linear algebra calculations. Ppt
GAUSS-JORDAN
- 用全选主元高斯-约当消去法同时求解系数矩阵相同而右端具有m组常数向量的n阶线性代数方程组-With full pivoting Gauss- Jordan elimination method for solving the same time while the right side has the same coefficient matrix of linear algebraic equations of order n m group constant vector
we798236
- 内容简介： MATLAB已成为多学科、多种工作平台的功能强大、界面友好、语言自然并且开放性强的大型应用软件，目前的最高版本是6.0版。本教程以6.0版为基础，从高等工科院校的数学课程出发，提供了使用MATLAB的实践性指导。本教程以教学的手段，系统详细地介绍了MATLAB在高等数学、数值分析、函数作图、线性代数、概率统计和优化理论中的应用，并配备了大量的例题，让读者能很快掌握MATLAB的运算技巧。 本教程按逻辑编排，自始至终用实例描述，既适用于初学者自学，也适用于高级MAT
12
- 有关matlab在线性代数中的应用的详细介绍及具体的matlab代码实现，包括求向量组的最大线性无关组、向量组的线性相关性、求解线性方程组、使用 sym 函数直接创建符号矩阵、将数值矩阵转化为符号矩阵、符号矩阵的索引和修改、相似矩阵及二次型、求特征值和特征向量等。很适合初学者使用，及有关工程人员参考。-About matlab linear algebra applications detailed descr iption and the specific matlab code, inclu
zhuiganfa
- 这是一个可以运行的追赶法程序，当线性代数联立方程组的系数矩阵为三对角矩阵时，可采用追赶法程序，效果非常有效。-This is a program that can be run to catch up with law, when the coefficient of linear algebraic simultaneous equations matrix is tridiagonal matrix, the method can be used to catch up with the p