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. Language: English