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Taken literally, the title "e;All of Statistics"e; is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical …
Discrete-event simulation consists of a collection of techniques that when applied to a discrete-event dynamical system, generates sequences called sample paths that characterize …
Variational Regularization of 3D Data provides an introduction to variational methods for data modelling and its application in computer vision. In this book, the authors identify …
The purpose of this book is to provide the reader with a solid background and understanding of the basic results and methods in probability theory before entering into more …
This text attempts to change the way we teach logic to beginning students. Instead of teaching logic as a subject in isolation, we regard it as a basic tool and show how to use it. …
Search games and rendezvous problems have received growing attention in computer science within the past few years. Rendezvous problems emerge naturally, for instance, to optimize …
This book begins with a concentrated introduction into deterministic global optimization and moves forward to present new original results from the authors who are well known …
Over the last 50 years there have been an increasing number of applications of algebraic tools to solve problems in communications, in particular in the fields of error-control …
Monte Carlo statistical methods, particularly those based on Markov chains, are now an essential component of the standard set of techniques used by statisticians. This new edition …
This book describes the mathematical background behind discrete approaches to morphological analysis of scalar fields, with a focus on Morse theory and on the discrete theories due …