Add to ORKGTransformations of sparse linear systems by row-column permutations are considered and various algorithms are constructed to transform arbitrary symmetric positive definite sparse matrices, as well as matrices in band form, doubly bordered band form, and doubly bordered block diagonal form
A matrix having a high percentage of zero elements is called spares. In the solution of systems of l...
International audienceThis paper considers elimination algorithms for sparse matrices over finite fi...
We focus on two known NP-hard problems that have applications in sparse matrix computations: the env...
summary:The problem of solving sparse symmetric linear algebraic systems by elimination is discussed...
summary:The problem of solving sparse symmetric linear algebraic systems by elimination is discussed...
AbstractIn this paper we consider the algorithms for transforming an n × n sparse matrix A into anot...
AbstractIn this paper we consider the algorithms for transforming an n × n sparse matrix A into anot...
A sparse matrix is a matrix with very few nonzero elements. Many applications in diverse fields gi...
Orthogonal Givens factorization is a popular method for solving large sparse least squares problems....
42 pages, available as LIP research report RR-2009-15Numerical linear algebra and combinatorial opti...
xi, 76 leaves : ill. ; 29 cm.The efficiency of linear algebra operations for sparse matrices on mode...
The problem of reordering a sparse symmetric matrix to reduce its envelope size is considered. A new...
AbstractSolving a sparse system of linear equations Ax=b is one of the most fundamental operations i...
Numerical linear algebra and combinatorial optimization are vast subjects; as is their interaction. ...
Numerical linear algebra and combinatorial optimization are vast subjects; as is their interaction. ...
A matrix having a high percentage of zero elements is called spares. In the solution of systems of l...
International audienceThis paper considers elimination algorithms for sparse matrices over finite fi...
We focus on two known NP-hard problems that have applications in sparse matrix computations: the env...
summary:The problem of solving sparse symmetric linear algebraic systems by elimination is discussed...
summary:The problem of solving sparse symmetric linear algebraic systems by elimination is discussed...
AbstractIn this paper we consider the algorithms for transforming an n × n sparse matrix A into anot...
AbstractIn this paper we consider the algorithms for transforming an n × n sparse matrix A into anot...
A sparse matrix is a matrix with very few nonzero elements. Many applications in diverse fields gi...
Orthogonal Givens factorization is a popular method for solving large sparse least squares problems....
42 pages, available as LIP research report RR-2009-15Numerical linear algebra and combinatorial opti...
xi, 76 leaves : ill. ; 29 cm.The efficiency of linear algebra operations for sparse matrices on mode...
The problem of reordering a sparse symmetric matrix to reduce its envelope size is considered. A new...
AbstractSolving a sparse system of linear equations Ax=b is one of the most fundamental operations i...
Numerical linear algebra and combinatorial optimization are vast subjects; as is their interaction. ...
Numerical linear algebra and combinatorial optimization are vast subjects; as is their interaction. ...
A matrix having a high percentage of zero elements is called spares. In the solution of systems of l...
International audienceThis paper considers elimination algorithms for sparse matrices over finite fi...
We focus on two known NP-hard problems that have applications in sparse matrix computations: the env...