AbstractWe show that modified Richardson method converges for any nonsingular totally nonnegative stochastic matrix for any choice of the parameter between 0 and 2. We present a variant of the modified Richardson method that is convergent for any nonsingular totally nonnegative matrix. We obtain the optimal parameter value for this method and give a procedure for estimating it. Numerical experiments are presented
A large number of queueing systems may be modelled as infinite Markov chains for which the transitio...
The Vicsek model describes the evolution of a system composed by different agents moving in the plan...
We pose the approximation problem for scalar nonnegative input/output systems via impulse response c...
AbstractWe show that modified Richardson method converges for any nonsingular totally nonnegative st...
AbstractWe consider iterative methods for the minimal nonnegative solution of the matrix equation G ...
In this paper, we introduce multiparameter generalizations of the linear and non-linear iterative Ri...
AbstractAn adaptive Richardson iteration method is presented for the solution of large linear system...
This work presents a novel version of recently developed Gauss--Newton method for solving systems of...
AbstractMany stochastic models in queueing, inventory, communications, and dam theories, etc., resul...
International audienceWe analyze an algorithm for solving stochastic control problems,based on Pontr...
AbstractTo solve the linear N×N system (1) Ax=a for any nonsingular matrix A, Richardson's iteration...
AbstractThis contribution is a natural follow-up of the paper of the same authors entitled Convergen...
Abstract. Non-stationary multisplitting algorithms for the solution of linear systems are studied. C...
We develop a new iterative method based on Pontryagin principle to solve stochastic control problems...
The convergence analysis on the general iterative methods for the symmetric and positive semidefinit...
A large number of queueing systems may be modelled as infinite Markov chains for which the transitio...
The Vicsek model describes the evolution of a system composed by different agents moving in the plan...
We pose the approximation problem for scalar nonnegative input/output systems via impulse response c...
AbstractWe show that modified Richardson method converges for any nonsingular totally nonnegative st...
AbstractWe consider iterative methods for the minimal nonnegative solution of the matrix equation G ...
In this paper, we introduce multiparameter generalizations of the linear and non-linear iterative Ri...
AbstractAn adaptive Richardson iteration method is presented for the solution of large linear system...
This work presents a novel version of recently developed Gauss--Newton method for solving systems of...
AbstractMany stochastic models in queueing, inventory, communications, and dam theories, etc., resul...
International audienceWe analyze an algorithm for solving stochastic control problems,based on Pontr...
AbstractTo solve the linear N×N system (1) Ax=a for any nonsingular matrix A, Richardson's iteration...
AbstractThis contribution is a natural follow-up of the paper of the same authors entitled Convergen...
Abstract. Non-stationary multisplitting algorithms for the solution of linear systems are studied. C...
We develop a new iterative method based on Pontryagin principle to solve stochastic control problems...
The convergence analysis on the general iterative methods for the symmetric and positive semidefinit...
A large number of queueing systems may be modelled as infinite Markov chains for which the transitio...
The Vicsek model describes the evolution of a system composed by different agents moving in the plan...
We pose the approximation problem for scalar nonnegative input/output systems via impulse response c...