AbstractIn this work, the solution of a sparse system of linear algebraic equations is obtained by using the Cramer rule. The determinants are computed with the help of the numerical structure approach defined in Suchkov (Graphs of Gearing Machines, Leningrad, Quebec, 1983) in which only the non-zero elements are used. Cramer rule produces the solution directly without creating fill-in problem encountered in other direct methods. Moreover, the solution can be expressed exactly if all the entries, including the right-hand side, are integers and if all products do not exceed the size of the largest integer that can be represented in the arithmetic of the computer used. The usefulness of Suchkov numerical structure approach is shown by applyin...
Abstract. Numerical linear algebra and combinatorial optimization are vast subjects; as is their int...
We present structural results on solutions to the Diophantine system Ay = b, y ∈ Z t ≥0 with the ...
Systems of linear equations are central to many science and engineering application domains. Given t...
AbstractIn this work, the solution of a large sparse linear system of equations with an arbitrary sp...
A sparse matrix is a matrix with very few nonzero elements. Many applications in diverse fields gi...
The mathematical models of many practical problems lead to systems of linear algebraic equations wh...
We propose a new algorithm to solve sparse linear systems of equations over the integers. This algor...
Numerical linear algebra and combinatorial optimization are vast subjects; as is their interaction. ...
AbstractA Las Vegas randomized algorithm for solving sparse linear systems over principal ideal doma...
An over view of advanced techniques for solving large sparse linear systems of equations is presente...
We consider the problem of approximate solution ex of a linear system Ax = b over the reals, such th...
International audienceDirect methods for the solution of sparse systems of linear equations of the f...
AbstractWe describe a direct method for solving sparse linear least squares problems. The storage re...
AbstractState-of-the-art software packages for solving large-scale linear systems are predominantly ...
AbstractWe consider the problem of approximate solution x̄ of of a linear system Ax = b over the rea...
Abstract. Numerical linear algebra and combinatorial optimization are vast subjects; as is their int...
We present structural results on solutions to the Diophantine system Ay = b, y ∈ Z t ≥0 with the ...
Systems of linear equations are central to many science and engineering application domains. Given t...
AbstractIn this work, the solution of a large sparse linear system of equations with an arbitrary sp...
A sparse matrix is a matrix with very few nonzero elements. Many applications in diverse fields gi...
The mathematical models of many practical problems lead to systems of linear algebraic equations wh...
We propose a new algorithm to solve sparse linear systems of equations over the integers. This algor...
Numerical linear algebra and combinatorial optimization are vast subjects; as is their interaction. ...
AbstractA Las Vegas randomized algorithm for solving sparse linear systems over principal ideal doma...
An over view of advanced techniques for solving large sparse linear systems of equations is presente...
We consider the problem of approximate solution ex of a linear system Ax = b over the reals, such th...
International audienceDirect methods for the solution of sparse systems of linear equations of the f...
AbstractWe describe a direct method for solving sparse linear least squares problems. The storage re...
AbstractState-of-the-art software packages for solving large-scale linear systems are predominantly ...
AbstractWe consider the problem of approximate solution x̄ of of a linear system Ax = b over the rea...
Abstract. Numerical linear algebra and combinatorial optimization are vast subjects; as is their int...
We present structural results on solutions to the Diophantine system Ay = b, y ∈ Z t ≥0 with the ...
Systems of linear equations are central to many science and engineering application domains. Given t...