Numerical Methods for Structured Markov Chains

Numerical Methods for Structured Markov

📁 Numerical Methods for Structured Markov Chains

✍ Dario A. Bini, Guy Latouche, Beatrice Meini 📂 Library 📅 2005 🏛 Oxford University Press, USA 🌐 English

Intersecting two large research areas--numerical analysis and applied probability/quering theory--this book is a self -contained introduction to the numerical solution of structured Markov chains, which have a wide applicability in queueing theory and stochastic modeling. Aimed at graduates and rese

Numerical Methods in Markov Chains and B

📁 Numerical Methods in Markov Chains and Bulk Queues

✍ Dr. Tapan P. Bagchi, Prof. James G. C. Templeton (auth.) 📂 Library 📅 1972 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Advanced Markov chain Monte Carlo method

📁 Advanced Markov chain Monte Carlo methods

✍ Faming Liang, Chuanhai Liu, Raymond Carroll 📂 Library 📅 2010 🏛 Wiley 🌐 English

Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific computing. This book discusses recent developments of MCMC methods with an emphasis on those making use of past sample information during simulations. The application examples are drawn from diverse fields such as bi

Introduction to the Numerical Solution o

📁 Introduction to the Numerical Solution of Markov Chains

✍ William J. Stewart, James Stewart 📂 Library 📅 1994 🏛 Princeton University Press 🌐 English

<p>A cornerstone of applied probability, Markov chains can be used to help model how plants grow, chemicals react, and atoms diffuse--and applications are increasingly being found in such areas as engineering, computer science, economics, and education. To apply the techniques to real problems, howe

Introduction to the Numerical Solution o

📁 Introduction to the Numerical Solution of Markov Chains

✍ William J. Stewart 📂 Library 📅 2021 🏛 Princeton University Press 🌐 English

<p>A cornerstone of applied probability, Markov chains can be used to help model how plants grow, chemicals react, and atoms diffuse--and applications are increasingly being found in such areas as engineering, computer science, economics, and education. To apply the techniques to real problems, howe

Markov Chains for Collaboration

📁 Markov Chains for Collaboration

✍ Walter Stromquist (Editor in Chief) 📂 Library 📅 2011 🏛 Mathematical Association of America