搜索资源列表
Jacobi
- 用JACOBI迭代法求解线性代数方程组，此迭代法是数值计算基本方法之一。-Use JACOBI iterative method for solving linear algebraic equations, and this iteration method is one of the basic method of numerical calculation.
Solution-of-equations
- 线性代数方程组的求解在科学和工程计算中应用非常广泛,这是因为很多科学和工程问题大多可以化为线性代数方程组来求解。-The solution of linear algebraic equations is widely used in scientific and engineering computing, this is because many scientific and engineering problems mostly can be reduced to linear algeb
Nshiizhifenxxu
- 数值分析算法描述与习题解答，由清华大学徐士良教书，用C开发的各种数学算法。比如：托伯利兹型型线性代数方程组的递推算法，全选主元高斯消去法解复系数线形代数方程组，复矩阵求逆的全选主元高斯 -The numerical analysis algorithm descr iption and answer exercises, taught by Tsinghua University, XU Shi-liang, C development of mathematical algorithms.
shunxugaosixiaoqufa
- 实现数值分析中的顺序高斯消去法，用于解线性代数方程组-Numerical analysis in order Gaussian elimination for the solution of linear algebraic equations
liezhuyuangaosixiaoqufa
- 实现数值分析中的列主元高斯消去法，用于解线性代数方程组-Column in the numerical analysis principal component Gaussian elimination method for solving linear algebraic equations
quanzhuyuangaosixiaoqufa
- 实现数值分析中的全主元消去法，用于解线性代数方程组-Numerical analysis in the whole principal component elimination method for solving linear algebraic equations
Jacobi
- 用Matlab语言实现Jacobi迭代算法、Gauss-Seidel迭代算法和逐次超松弛迭代法，求解一般的线性代数方程组问题-Jacobi Gauss-Seidel sor
chase
- 用追赶法解0到100元线性代数方程组，比较简单-0-100 yuan chasing method solution of linear algebraic equations
gausss
- 高斯-赛德尔迭代法则是解线性方程组的，而且适合用于求解系数矩阵很多元素都是零的线性代数方程组。-Gauss- Seidel iteration rule for solving linear equations, and suitable for solving the coefficient matrix elements are zero linear algebraic equations.
gausse
- 数值分析中的线性代数方程组的数值解法gausse消元法的c实现。-Numerical analysis of linear algebraic equations numerical solution gausse of the elimination method c.
matlab-examples
- 基于matlab的高斯消去法求解线性代数方程组-Gaussian Elimination
SSOR
- 数值分析中的 SSOR 求解器，用于求解大型线性代数方程组
gausstiaoshi
- gauss列主元求解线性代数方程组；自动或手动选主元，数值计算原理书上的相关实验题-gauss main-element solution of linear algebraic equations automatically or manually pivoting, numerical calculation principle books on related experimental questions
Numerical-Analysis-for-Statisticians
- Java常用数值算法集 共有数值计算中常用的Java方法近200个．内容包括：解线性代数方程组、插值、数值积分、特殊函数、函数逼近、随机数、排序、特征值问题、数据拟合、方程求根和非线性方程组求解、函数的极值和最优化、数据的统计描述、傅里叶变换谱方法、解常微分方程组、两点边值问题的解法和解偏微分方程组．-Java common set numerical algorithm the total numerical calculation commonly used Java method
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.
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
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