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This OpenNL, a library to easily construct and solve sparse linear systems. * OpenNL is supplied with a set of built-in iterative solvers (Conjugate gradient,BICGSTAB, GMRes) and preconditioners (Jacobi, SSOR). * OpenNL can also use other solvers (SuperLU 3.0 is supported as an OpenNL extension,MUMPS will be supported in a future version)-This is OpenNL. a library to easily construct and solve sparse l inear systems. * OpenNL is supplied with a set of built-in iterative solvers (Conjugate gradie nt, Application of BICGSTAB. GMRes) and preconditioners (Jacobi, SSOR). * OpenNL can also use other solvers (Super rLU 3.0 is supported as an OpenNL extension, MUMPS will be supported in a future version)
Update : 2008-10-13 Size : 83.4kb Publisher : Wayne

This OpenNL, a library to easily construct and solve sparse linear systems. * OpenNL is supplied with a set of built-in iterative solvers (Conjugate gradient,BICGSTAB, GMRes) and preconditioners (Jacobi, SSOR). * OpenNL can also use other solvers (SuperLU 3.0 is supported as an OpenNL extension,MUMPS will be supported in a future version)-This is OpenNL. a library to easily construct and solve sparse l inear systems.* OpenNL is supplied with a set of built-in iterative solvers (Conjugate gradie nt, Application of BICGSTAB. GMRes) and preconditioners (Jacobi, SSOR).* OpenNL can also use other solvers (Super rLU 3.0 is supported as an OpenNL extension, MUMPS will be supported in a future version)
Update : 2025-02-19 Size : 83kb Publisher : Wayne

Seldon is a C++ library for linear algebra. It provides vectors and matrices: full, sparse, triangular, hermitian, ... It includes interfaces to Blas, Lapack, Mumps, SuperLU and UmfPack. Seldon implements several solvers such as Gmres, BiCgSTAB, Qmr, -Seldon is a C++ library for linear algebra. It provides vectors and matrices: full, sparse, triangular, hermitian, ... It includes interfaces to Blas, Lapack, Mumps, SuperLU and UmfPack. Seldon implements several solvers such as Gmres, BiCgSTAB, Qmr, ...
Update : 2025-02-19 Size : 287kb Publisher : TealCh

Sixpack is a library of solvers that may be used to solve structured finite volume and finite difference discretisations of PDE s. The solvers include static methods like Jacobi s Method, SOR, SSOR, RBSOR, incomplete factorisation methods like ILU, ILDL, SIP, MSI, Krylov space methods like CG and, BiCGSTAB (with a variety of preconditioners), and a multigrid solver using Jacobi, ILU, ILDL and SIP for smoothing. In addition there is a block tridiagonal solver for when you want to try a direct method.
Update : 2025-02-19 Size : 212kb Publisher : Feiyu Lu

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预处理共轭梯度的方法,该方法有效,快速-preconditioned conjugate gradient(PCG)
Update : 2025-02-19 Size : 24kb Publisher : 道道

数值分析中,用BICGSTAB方法和GMRES方法去求解线性方程组的解-Numerical analysis, using BICGSTAB method and GMRES method to the solution of linear equations
Update : 2025-02-19 Size : 1kb Publisher : 张勇

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bicgstab 算法,用于计算大型矩阵-bicgstab method。。。。。。。。。。。。。。
Update : 2025-02-19 Size : 4kb Publisher : junelu

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大型带状线性方程组的BICGSTAB算法-BICGSTAB PROGRAM FOR SOLVing large sparse bind linear equations
Update : 2025-02-19 Size : 1kb Publisher : 王生安

In numerical linear algebra, the biconjugate gradient stabilized method, often abbreviated as BiCGSTAB, is an iterative method developed by H. A. van der Vorst for the numerical solution of nonsymmetric linear systems. It is a variant of the biconjugate gradient method (BiCG) and has faster and smoother convergence than the original BiCG as well as other variants such as the conjugate gradient squared method (CGS). It is a Krylov subspace method. This is matlab implimentation of this method
Update : 2025-02-19 Size : 1kb Publisher : sawssen

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大型稀疏复线性方程组的BICGSTAB算法-BICGSTAB algorithm large sparse linear equations of
Update : 2025-02-19 Size : 1kb Publisher : yinbin

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基于MATLAB编写的大地电磁二维有限单元法正演程序,矩形单元剖分,线性插值, 使用说明: 1. 运行MT2DMODEL.m构建正演模型 2. 运行TMmodel.m和TEmodel.m正演计算,计算结果自动保存 3. 程序进行了优化,并将BICGSTAB(稳定双共轭梯度法)用于求解线性方程组,求解效率提高,一般情况下正演计算仅需1~2秒(Based on MATLAB compiled two-dimensional magnetotelluric finite element forward program, rectangular element division, linear interpolation, Instructions: 1. run MT2DMODEL.m to build forward modeling. 2. run TMmodel.m and TEmodel.m forward calculation, and calculate results automatically. 3. The program is optimized and BICGSTAB (stable double conjugate gradient method) is used to solve linear equations. The efficiency of solving linear equations is improved. Generally, the forward calculation takes only 1-2 seconds.)
Update : 2025-02-19 Size : 115kb Publisher : tongshuo123
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