In this paper, we propose an improved power algorithm for finding maximal eigenvalues. Without any partition, we can get the maximal eigenvalue and show that the modified power algorithm is convergent for zero symmetric reducible nonnegative matrices. Numerical results are reported to demonstrate the effectiveness of the modified power algorithm. Finally, a modified algorithm is proposed to test the positive definiteness (positive semidefiniteness) of Z-matrices
A projection method for computing the minimal eigenvalue of a symmetric and positive definite Toepli...
A projection method for computing the minimal eigenvalue of a symmetric and positive definite Toepli...
A projection method for computing the minimal eigenvalue of a symmetric and positive definite Toepli...
AbstractThis paper deals with the eigenproblem of positive definite matrices. A numerical algorithm,...
Abstract. Many of the popular methods for the solution of largest eigenvalue of essentially positive...
Elsner L, van den Driessche P. On the power method in max algebra. In: Linear Algebra and its Appli...
AbstractThe algorithm described in this article uses Householder reflections to obtain the largest e...
AbstractThe eigenvalue problem for an irreducible nonnegative matrix $A = [a_{ij}]$ in the max algeb...
Consider the problem of computing the largest eigenvalue for nonnegative tensors. In this paper, we ...
AbstractWe provide a method for improving bounds for nonmaximal eigenvalues of positive matrices. A ...
AbstractIt is proved that, under certain conditions, an algorithm resembling the power algorithm in ...
AbstractSufficient conditions for the convergence of diagonal transformation methods for computing t...
AbstractThis paper deals with the eigenproblem of positive definite matrices. A numerical algorithm,...
Consider the problem of computing the largest eigenvalue for nonnegative tensors. In this paper, we ...
In this paper we discuss a generalization of power algorithms over max-plus algebra. We are interest...
A projection method for computing the minimal eigenvalue of a symmetric and positive definite Toepli...
A projection method for computing the minimal eigenvalue of a symmetric and positive definite Toepli...
A projection method for computing the minimal eigenvalue of a symmetric and positive definite Toepli...
AbstractThis paper deals with the eigenproblem of positive definite matrices. A numerical algorithm,...
Abstract. Many of the popular methods for the solution of largest eigenvalue of essentially positive...
Elsner L, van den Driessche P. On the power method in max algebra. In: Linear Algebra and its Appli...
AbstractThe algorithm described in this article uses Householder reflections to obtain the largest e...
AbstractThe eigenvalue problem for an irreducible nonnegative matrix $A = [a_{ij}]$ in the max algeb...
Consider the problem of computing the largest eigenvalue for nonnegative tensors. In this paper, we ...
AbstractWe provide a method for improving bounds for nonmaximal eigenvalues of positive matrices. A ...
AbstractIt is proved that, under certain conditions, an algorithm resembling the power algorithm in ...
AbstractSufficient conditions for the convergence of diagonal transformation methods for computing t...
AbstractThis paper deals with the eigenproblem of positive definite matrices. A numerical algorithm,...
Consider the problem of computing the largest eigenvalue for nonnegative tensors. In this paper, we ...
In this paper we discuss a generalization of power algorithms over max-plus algebra. We are interest...
A projection method for computing the minimal eigenvalue of a symmetric and positive definite Toepli...
A projection method for computing the minimal eigenvalue of a symmetric and positive definite Toepli...
A projection method for computing the minimal eigenvalue of a symmetric and positive definite Toepli...