Linear Algebra, Markov Chains, and Queueing Models

Perturbation Theory and Error Analysis.- Error bounds for the computation of null vectors with Applications to Markov Chains.- The influence of nonnormality on matrix computations.- Componentwise error analysis for stationary iterative methods.- The character of a finite Markov chain.- Gaussian elimination, perturbation theory, and Markov chains.- Iterative Methods.- Algorithms for periodic Markov chains.- Iterative methods for queueing networks with irregular state-spaces.- Analysis of p-cyclic iterations for Markov chains.- Iterative methods for finding the stationary vector for Markov chains.- Local convergence of (exact and inexact) iterative aggregation.- Queueing Theory and Applications.- Automated generation and analysis of Markov reward models using stochastic reward nets.- Means and variances in Markov reward systems.- A direct algorithm for computing the stationary distribution of a p-cyclic Markov chain.- Approximate analysis of a discrete-time queueing model of the shared buffer ATM switch.- Algorithms for infinite Markov chains with repeating columns.- Cray-2 memory organization and interprocessor memory contention.