The present work gives a coarse overview of storage techniques and numbering, of preconditioning and of different direct and indirect methods, solving large sparse linear systems, and their numerical implementation; a central problem of present scientific computation. Stability versus structure, one of the problems of direct methods, are described in detail together with block decomposition and modification methods. Besides that stationary and instationary methods are presented especially in detail the conjugate gradient method - basis method of instationary methods. (orig.)SIGLEAvailable from TIB Hannover: RN 437(97-31) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman
Abstract. Numerical linear algebra and combinatorial optimization are vast subjects; as is their int...
A Modified Conjugate Gradient scheme to solve sparse linear systems with positive definite coefficie...
In this paper we present a reduced-gradient type algorithm for solving large-scale linearly constrai...
This paper deals with background and practical experience with preconditioned gradient methods for s...
This article surveys preconditioning techniques for the iterative solution of large linear systems, ...
AbstractIn this paper we consider various iterative methods for the numerical solution of very large...
This book describes, in a basic way, the most useful and effective iterative solvers and appropriate...
This report presents preconditioning techniques for the conjugate gradient method (CG), an iterative...
Iterative methods are currently the solvers of choice for large sparse linear systems of equations. ...
Preconditioning techniques based on ILU decomposition, on Frobenius norm minimization and on factori...
This presentation is intended to review the state-of-the-art of iterative methods for solving large ...
This report presents preconditioning techniques for the conjugate gradient method (CG), an iterative...
In this chapter we will present an overview of a number of related iterative methods for the solutio...
The rapid improvement ' in computational power available due to faster chips and parallel processing...
The rapid improvement in computational power available due to faster chips and parallel processing i...
Abstract. Numerical linear algebra and combinatorial optimization are vast subjects; as is their int...
A Modified Conjugate Gradient scheme to solve sparse linear systems with positive definite coefficie...
In this paper we present a reduced-gradient type algorithm for solving large-scale linearly constrai...
This paper deals with background and practical experience with preconditioned gradient methods for s...
This article surveys preconditioning techniques for the iterative solution of large linear systems, ...
AbstractIn this paper we consider various iterative methods for the numerical solution of very large...
This book describes, in a basic way, the most useful and effective iterative solvers and appropriate...
This report presents preconditioning techniques for the conjugate gradient method (CG), an iterative...
Iterative methods are currently the solvers of choice for large sparse linear systems of equations. ...
Preconditioning techniques based on ILU decomposition, on Frobenius norm minimization and on factori...
This presentation is intended to review the state-of-the-art of iterative methods for solving large ...
This report presents preconditioning techniques for the conjugate gradient method (CG), an iterative...
In this chapter we will present an overview of a number of related iterative methods for the solutio...
The rapid improvement ' in computational power available due to faster chips and parallel processing...
The rapid improvement in computational power available due to faster chips and parallel processing i...
Abstract. Numerical linear algebra and combinatorial optimization are vast subjects; as is their int...
A Modified Conjugate Gradient scheme to solve sparse linear systems with positive definite coefficie...
In this paper we present a reduced-gradient type algorithm for solving large-scale linearly constrai...