AbstractThe explicit structure of the inverse of block tridiagonal matrices is presented in terms of blocks defined by linear recurrence relations. Parallel algorithms are shown which solve block second order linear recurrences without using commutativity. Moreover we investigate the parallel solution of the associated block tridiagonal linear system. Using this theoretical background, the implementation of the algorithms is analyzed both on a small number of processors and on a hypercube. The resulting complexity is given in terms of parallel steps, each consisting of block operations, and the cost due to interprocessor communications is taken into account, too
textabstractSolution of large sparse systems of linear equations continues to be a major research ar...
none2siIn this paper we describe a new tridiagonal equation solver, based on a rank-one updating str...
This paper is concerned with the solution of block tridiagonal linear algebraic systems by two diffe...
AbstractThe explicit structure of the inverse of block tridiagonal matrices is presented in terms of...
AbstractWe present the recurrence formulas for computing the approximate inverse factors of tridiago...
ABSTRACT. Tridiagonal linear systems of equations can be solved on conventional serial machines in a...
AbstractA parallel version of the cyclic reduction algorithm for the solution of tridiagonal linear ...
AbstractThe recursive doubling algorithm as developed by Stone can be used to solve a tridiagonal li...
AbstractWe formalize the concept of parallel factorization as a set of scalar factorizations. By mea...
AbstractIn this paper, we consider a new form of the arithmetic mean method for solving large block ...
In this paper, we consider a new form of the arithmetic mean method for solving large block tridiago...
In this paper, we consider a new form of the arithmetic mean method for solving large block tridiago...
this paper, the wrap-around partitioning methodology, originally proposed by Hegland [1], is conside...
AbstractFour parallel algorithms for the solution of block bidiagonal linear systems on distributed ...
AbstractDiagonally dominant tridiagonal Toeplitz systems of linear equations arise in many applicati...
textabstractSolution of large sparse systems of linear equations continues to be a major research ar...
none2siIn this paper we describe a new tridiagonal equation solver, based on a rank-one updating str...
This paper is concerned with the solution of block tridiagonal linear algebraic systems by two diffe...
AbstractThe explicit structure of the inverse of block tridiagonal matrices is presented in terms of...
AbstractWe present the recurrence formulas for computing the approximate inverse factors of tridiago...
ABSTRACT. Tridiagonal linear systems of equations can be solved on conventional serial machines in a...
AbstractA parallel version of the cyclic reduction algorithm for the solution of tridiagonal linear ...
AbstractThe recursive doubling algorithm as developed by Stone can be used to solve a tridiagonal li...
AbstractWe formalize the concept of parallel factorization as a set of scalar factorizations. By mea...
AbstractIn this paper, we consider a new form of the arithmetic mean method for solving large block ...
In this paper, we consider a new form of the arithmetic mean method for solving large block tridiago...
In this paper, we consider a new form of the arithmetic mean method for solving large block tridiago...
this paper, the wrap-around partitioning methodology, originally proposed by Hegland [1], is conside...
AbstractFour parallel algorithms for the solution of block bidiagonal linear systems on distributed ...
AbstractDiagonally dominant tridiagonal Toeplitz systems of linear equations arise in many applicati...
textabstractSolution of large sparse systems of linear equations continues to be a major research ar...
none2siIn this paper we describe a new tridiagonal equation solver, based on a rank-one updating str...
This paper is concerned with the solution of block tridiagonal linear algebraic systems by two diffe...