Computational Probability
Great advances have been made in recent years in the field of computational probability. In particular, the state of the art - as it relates to queuing systems, stochastic Petri-nets and systems dealing with reliability - has benefited significantly from
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INTERNATIONAL SERIES IN OPERATIONS RESEARCH & MANAGEMENT SCIENCE Frederick S. Hillier, Series Editor Stanford University Saigal, R / LINEAR PROGRAMMING: A Modern Integrated Analysis Nagurney, A. & Zhang, D. / PROJECTED DYNAMICAL SYSTEMS AND VARIATIONAL INEQUALITIES WITH APPLICATIONS
Padberg, M. & Rijal, M. / LOCATION. SCHEDULING, DESIGN AND INTEGER PROGRAMMING
Vanderbei, R. / LINEAR PROGRAMMING: Foundations and Extensions Jaiswal, N.K.' MILITARY OPERATIONS RESEARCH: Quantitative Decision Making Gal, T. & Greenberg, H. , ADVANCES IN SENSITIVITY ANALYSIS AND PARAMETRIC PROGRAMMING
Prabhu, N.V.' FOUNDATIONS OF QUEUEING THEORY Fang, S.-C., Rajasekera, J.R & Tsao, H.-SJ. / ENTROPY OPTIMIZATION AND MATHEMATICAL PROGRAMMING
Yu, G. , OPERATIONS RESEARCH IN THE AIRLINE INDUSTRY Ho, T.-H. & Tang, C. S. I PRODUCT VARIETY MANAGEMENT El-Taba, M. & Stidham, S. , SAMPLE-PATH ANALYSIS OF QUEUEING SYSTEMS Miettinen, K. M.' NONLINEAR MULTIOBJECTIVE OPTIMIZATION Chao, H. & Huntington, H. G. I DESIGNING COMPETITIVE ELECTRICITY MARKETS Weglarz, J. , PROJECT SCHEDULING: Recent Models, Algorithms & Applications Sabin, I. & Polatoglu, H. , QUALITY, WARRANTY AND PREVENTIVE MAINTENANCE Tavares, L. V.I ADVANCED MODELS FOR PROJECT MANAGEMENT Tayur, S., Ganeshan, R & Magazine, M. I QUANTITATIVE MODELING FOR SUPPLY CHAIN MANAGEMENT
Weyant,
J.! ENERGY AND ENVIRONMENTAL POLICY MODELING
Shanthikumar, J.G. & Sumita, V.lAPPLIED PROBABILITY AND STOCHASTIC PROCESSES Liu, B. & Esogbue, A.O. I DECISION CRITERIA AND OPTIMAL INVENTORY PROCESSES Gal, Stewart & Hannel MULTICRITERIA DECISION MAKING: Advances in MCDM Models, Algorithms, Theory, and Applications
Fox, B. L.I STRATEGIES FOR QUASI-MONTE CARLO Hall, RW. I HANDBOOKOFTRANSPORTATIONSCIENCE
Computational Probability
Edited by Winfried K. Grassmann University of Saskatchewan
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Springer Science+Business Media, LLC
Library of Congress Cataloging-in-Publication Data A C.I.P. Catalogue record for this book is available from the Library of Congress.
ISBN 978-1-4419-5100-7 ISBN 978-1-4757-4828-4 (eBook) DOI 10.1007/978-1-4757-4828-4 Copyright © 2000 by Springer Science+Business Media New York Originally published by Kluwer Academic Publishers in 2000 Softcover reprint of the hardcover 1st edition 2000 AII rights reserved. No part of this publication may be reproduced, stored m a retrieval system or transmitted in any form or by any means, mechanical, photocopying, record ing, or otherwise, without the prior written permission of the publisher, Springer Science+Business Media, LLC.
Printed on acid-free paper.
Contents
Preface 1 Computational Probability: Challenges and Limitations Winfried K. Grassmann
2
Tools for Formulating Markov Models Gianfranco Ciardo
3
Transient Solutions for Markov Chains Edmundo de Souza e Silva and H. Richard Gail
4 Numerical Methods for Computing Stationary Distributions of Finite Irreducible Markov Chains William J. Stewart
5
Stochastic Automata Networks Brigitte Plateau and William J. Stewart
6
Matrix Analytic Methods Winfried K. Grassmann and Dav
