informs ® doi 10.1287/ijoc.1030.0041 © 2004 INFORMS This paper is the experimental follow-up to Langville and Stewart (2002), where the theoretical background for the nearest Kronecker product (NKP) preconditioner was developed. Here we test the NKP preconditioner on both Markov chains (MCs) and stochastic automata networks (SANs). We conclude that the NKP preconditioner is not appropriate for general MCs, but is very effective for a MC stored as a SAN
Stochastic Automata Networks (SANs) have a large amount of applications in modelling queueing system...
The article considers the effectiveness of various methods used to solve systems of linear equations...
this paper we compare different iterations methods to solve the underlying Markov chain based on Sto...
Many very large Markov chains can be modelled eciently as stochastic automata networks (SANs). A SAN...
This paper can be thought of as a companion paper to Van Loan's The Ubiquitous Kronecker Produc...
AbstractThis paper can be thought of as a companion paper to Van Loan's The Ubiquitous Kronecker Pro...
This paper can be thought of as a companion paper to Van Loan’s The Ubiquitous Kronecker Product pap...
Stochastic Automata Networks (SANs) are widely used in modeling communication systems, manufacturing...
Abstract. We consider preconditioned Krylov subspace methods for computing the stationary probabilit...
Kronecker structured representations are used to cope with the state space explosion problem in Mark...
AbstractStochastic Automata Networks (SANs) are widely used in modeling practical systems such as qu...
Kronecker products are used to define the underlying Markov chain (MC) in various modeling formalism...
Stochastic Automata Networks (SANs) are widely used in modeling practical systems such as queueing s...
Kronecker structured representations are used to cope with the state space explosion problem in Mark...
We discuss how to describe the Markov chain underlying a generalized stochastic Petri net using Kron...
Stochastic Automata Networks (SANs) have a large amount of applications in modelling queueing system...
The article considers the effectiveness of various methods used to solve systems of linear equations...
this paper we compare different iterations methods to solve the underlying Markov chain based on Sto...
Many very large Markov chains can be modelled eciently as stochastic automata networks (SANs). A SAN...
This paper can be thought of as a companion paper to Van Loan's The Ubiquitous Kronecker Produc...
AbstractThis paper can be thought of as a companion paper to Van Loan's The Ubiquitous Kronecker Pro...
This paper can be thought of as a companion paper to Van Loan’s The Ubiquitous Kronecker Product pap...
Stochastic Automata Networks (SANs) are widely used in modeling communication systems, manufacturing...
Abstract. We consider preconditioned Krylov subspace methods for computing the stationary probabilit...
Kronecker structured representations are used to cope with the state space explosion problem in Mark...
AbstractStochastic Automata Networks (SANs) are widely used in modeling practical systems such as qu...
Kronecker products are used to define the underlying Markov chain (MC) in various modeling formalism...
Stochastic Automata Networks (SANs) are widely used in modeling practical systems such as queueing s...
Kronecker structured representations are used to cope with the state space explosion problem in Mark...
We discuss how to describe the Markov chain underlying a generalized stochastic Petri net using Kron...
Stochastic Automata Networks (SANs) have a large amount of applications in modelling queueing system...
The article considers the effectiveness of various methods used to solve systems of linear equations...
this paper we compare different iterations methods to solve the underlying Markov chain based on Sto...