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mifaandfanmifa
- 计算特征值和特征向量的幂法和反幂法以及计算矩阵的minres 算法的matlab程序-calculated eigenvalues and eigenvectors of power and anti-power-law and calculate the matrix algorithm mat minres lab procedures
mifaandfanmifa
- 计算特征值和特征向量的幂法和反幂法以及计算矩阵的minres 算法的matlab程序-calculated eigenvalues and eigenvectors of power and anti-power-law and calculate the matrix algorithm mat minres lab procedures
MINRES
- 采用CG法求解稀疏对称奇异矩阵得到的Ax=b-Implementation of a conjugate-gradient type method for solving sparse linear equations: Solve Ax = b or (A- sI)x = b. The matrix A- sI must be symmetric but it may be definite or indefinite o
gmres
- The GMRES method was developed by Yousef Saad and Martin H. Schultz in 1986.[1] GMRES is a generalization of the MINRES method developed by Chris Paige and Michael Saunders in 1975. GMRES also is a special case of the DI
Famous-Numerical-Iteration-Algorithm
- 提供几种著名的大型线性方程组迭代算法，包括CG、PCG、Lanczos、MINRES-Several well-known large-scale linear equations iterative algorithm, including CG, PCG, Lanczos, MINRES
CG_lanczos_MINRES_SOR_Fastdown
- 李津第一次大作业代码：包括共轭梯度法CG，兰索斯Lanczos法、MINRES法、SOR法、最速下降法-Li Jin first big job code: include conjugate gradient method CG, Lanczos Lanczos method, MINRES method, SOR method, the steepest descent method
first_practice_compute
- 主要是关于高等数值分析中关于CG法，MINRES法，Lanczos方法解大型稀疏矩阵的matlab算法实现-the matlab code about the advacned value analysis curriculum the algorithm for CG MINRES and Lanczos
ANA1
- 本程序为线性方程组的matlab代码，主要比较了CG,Lanczos和MINRES三种方法解方程Ax=b的效果。-This program is linear equations matlab code, the main comparison of CG, Lanczos and MINRES three ways to solve the equation Ax = b in effect.
ssi
- krylov子空间法 krylov子空间方法的程序实现，用于解高阶矩阵-Matlab Codes for Krylov subspace methods 1. MINRES method by Paige and Saunders implementation function [ x, istop, itn, rnorm, Arnorm, Anorm, Acond, ynorm ] = ... minres( A, b,
CG_LANCZOS_MINRES
- 包含CG、Minres和Lanczos算法及LU和QR分解等多种算法，可以很好的适用于1000阶及其以上矩阵的计算，绘制残差与步数的关系图-Contains CG, Minres and Lanczos algorithm and LU and QR decomposition of a variety of algorithms, it can be a good step for calculating 1000 and above
CG_MINRES_LANCZOS
- 用共轭梯度法_MINRES_LANCZOS等迭代算法解线性方程组，清华大学李津老师高等数值分析大作业(This is the homework of Li Jin's higher numerical analysis course of Tsinghua University. We use the conjugate gradient method, MINRES method and LANCZOS algorithm to so
高数计算实践题目一
- 清华大学高等数值分析计算实践题目一，生成矩阵分析CG法、Lanczos法、MINRES法得收敛性(Tsinghua University higher numerical analysis and calculation of practical topics First, generate matrix analysis CG method, Lanczos method, MINRES method of convergence)