91 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.In the second part of the thesis, we analyze the quality of a new graph-based preconditioner for large sparse Symmetric Positive Definite Diagonally Dominant (SPDDD) linear systems. These kinds of linear systems arise in the solution of scalar second order PDEs for Heat Transfer, Electrostatics, Electromagnetics, Ground Water Flow, and Diffusion (with or without reaction) when they are discretized using finite differences. They also arise in discrete problems like Network Flow Problems (Assignment, Maximum Flow, and Minimum Cost Flow), Large Resistive Networks, and Laminar Flow in Pipe Networks.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest...
of linear systems, permutations Many applications such as computational fluid dynamics, structural m...
A numerical study of the efficiency of the modified conjugate gradients (MCG) is performed using dif...
A multi-level method for the solution of sparse linear systems is introduced. The definition of the ...
Flow problems permeate hydraulic engineering. In order to solve real--life problems, parallel sol...
This paper deals with background and practical experience with preconditioned gradient methods for s...
Elliptic partial differential equations that are used to model physical phenomena give rise to large...
In this article we introduce new bounds on the effective condition number of deflated and preconditi...
In this paper we propose the theory of decomposition, methods, technologies, applications and implem...
In this thesis, the design of the preconditioners we propose starts from applications instead of tre...
We analyze the practical efficiency of multi-iterative techniques for the numerical solution of gra...
The aim of this thesis is to investigate and compare two solvers for big, sparse, complex, symmetric...
Abstract. We consider the solution of linear systems corresponding to the combinatorial and normaliz...
Iterative methods are currently the solvers of choice for large sparse linear systems of equations. ...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
This paper presents a class of preconditioners for sparse systems arising from discretized partial d...
of linear systems, permutations Many applications such as computational fluid dynamics, structural m...
A numerical study of the efficiency of the modified conjugate gradients (MCG) is performed using dif...
A multi-level method for the solution of sparse linear systems is introduced. The definition of the ...
Flow problems permeate hydraulic engineering. In order to solve real--life problems, parallel sol...
This paper deals with background and practical experience with preconditioned gradient methods for s...
Elliptic partial differential equations that are used to model physical phenomena give rise to large...
In this article we introduce new bounds on the effective condition number of deflated and preconditi...
In this paper we propose the theory of decomposition, methods, technologies, applications and implem...
In this thesis, the design of the preconditioners we propose starts from applications instead of tre...
We analyze the practical efficiency of multi-iterative techniques for the numerical solution of gra...
The aim of this thesis is to investigate and compare two solvers for big, sparse, complex, symmetric...
Abstract. We consider the solution of linear systems corresponding to the combinatorial and normaliz...
Iterative methods are currently the solvers of choice for large sparse linear systems of equations. ...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
This paper presents a class of preconditioners for sparse systems arising from discretized partial d...
of linear systems, permutations Many applications such as computational fluid dynamics, structural m...
A numerical study of the efficiency of the modified conjugate gradients (MCG) is performed using dif...
A multi-level method for the solution of sparse linear systems is introduced. The definition of the ...