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The EM Algorithm and Extensionsby Geoffrey J. McLachlan; Thriyambakam Krishnan
John Wiley & Sons, Inc. 2007; US$ 137.00The only single-source——now completely updated and revised——to offer a unified treatment of the theory, methodology, and applications of the EM algorithm Complete with updates that capture developments from the past decade, The EM Algorithm and Extensions, Second Edition successfully provides a basic understanding of the EM algorithm by describing its inception, implementation, and applicability in numerous statistical contexts. In conjunction with the fundamentals of the topic, the authors discuss convergence issues and computation of standard errors, and, in addition, unveil many parallels and connections between the EM algorithm and Markov chain Monte Carlo algorithms. Thorough discussions on the complexities and... more...
Induction, Algorithmic Learning Theory, and Philosophyby Michele Friend; Norma B. Goethe; Valentina S. Harizanov
Springer 2007; US$ 189.00This is the first book to collect essays from philosophers, mathematicians and computer scientists working at the exciting interface of algorithmic learning theory and the epistemology of science and inductive inference. Readable, introductory essays provide engaging surveys of different, complementary, and mutually inspiring approaches to the topic, both from a philosophical and a mathematical viewpoint. Building upon this base, subsequent papers present novel extensions of algorithmic learning theory as well as bold, new applications to traditional issues in epistemology and the philosophy of science. The volume is vital reading for students and researchers seeking a fresh, truth-directed approach to the philosophy of science and induction,... more...
How to Think About Algorithmsby Jeff Edmonds
Cambridge University Press 2008; US$ 34.00Textbook that teaches students how to think about algorithms like an expert, without getting bogged down in formal proof. more...
The LLL Algorithmby Phong Q. Nguyen; Brigitte Vallee
Springer 2010; US$ 129.00The first book to offer a comprehensive view of the LLL algorithm, this text surveys computational aspects of Euclidean lattices and their main applications. It includes many detailed motivations, explanations and examples. more...
Invitation to Fixed-Parameter Algorithmsby Rolf Niedermeier
OUP Oxford 2006; US$ 140.00This research-level text is an application-oriented introduction to the growing and highly topical area of the development and analysis of efficient fixed-parameter algorithms for optimally solving computationally hard combinatorial problems.The book is divided into three parts: a broad introduction that provides the general philosophy and motivation; followed by coverage of algorithmic methods developed over the years in fixed-parameter algorithmics forming the core of the book; and a discussion of the essentials from parameterized hardness theory with a focus on W[1]-hardness which parallels NP-hardness, then stating some relations to polynomial-time approximation algorithms, and finishing up with a list of selected case studiesto show the... more...
Cooperative Task-Oriented Computing: Algorithms and Complexityby Chryssis Georgiou; Alexander Shvartsman
Morgan & Claypool Publishers 2011; US$ 45.00Cooperative network supercomputing is becoming increasingly popular for harnessing the power of the global Internet computing platform. A typical Internet supercomputer consists of a master computer or server and a large number of computers called workers, performing computation on behalf of the master. Despite the simplicity and benefits of a single master approach, as the scale of such computing environments grows, it becomes unrealistic to assume the existence of the infallible master that is able to coordinate the activities of multitudes of workers. Large-scale distributed systems are inherently dynamic and are subject to perturbations, such as failures of computers and network links, thus it is also necessary to consider fully distributed... more...
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