This classic in stochastic network modelling broke new ground when it was published in 1979, and it remains a superb introduction to reversibility and its applications. The book concerns behaviour in equilibrium of vector stochastic processes or stochastic networks. When a stochastic network is reversible its analysis is greatly simplified, and the first chapter is devoted to a discussion of the concept of reversibility. The rest of the book focuses on the various applications of reversibility and the extent to which the assumption of reversibility can be relaxed without destroying the associated tractability. Now back in print for a new generation, this book makes enjoyable reading for anyone interested in stochastic processes thanks to the author's clear and easy-to-read style. Elementary probability is the only prerequisite and exercises are interspersed throughout.
This lecture note style textbook on mechanics is aimed at undergraduate physics majors and providing a complete introductory course in mechanics based on the lecture course offered at the author’s ins
The second volume in the author’s three-part series, Properties of Materials uses the principles of classical mechanics to qualitatively and quantitatively model specific features of matter.The text d
The first single-source reference to all the major features of LEAP tomography, this volume includes a wealth of practical tips and covers all four core aspects of a LEAP tomography experiment from st
This book is the first, single-source guide to successful experiments using the local electrode atom probe (LEAP®) microscope. Coverage is both comprehensive and user friendly, including the fundament
