A text for graduate students, researchers, engineers and physicists working with flow computations. Gives an up-to-date account of the most current numerical methods employed in computational fluid dynamics. Gives special attention to stability analysis.
This theme is continued in the third edition in which the book has been reformatted and a chapter on Bayesian methods has been added. In recent years, the Bayesian paradigm has come to enjoy increased popularity and impact in such areas as economics, environmental science, medicine, and finance. Since Bayesian statistical analysis is highly computational, it is gaining even wider acceptance with advances in computer technology.
In this book, leading researchers in morphology, syntax, language acquisition, psycholinguistics, and computational linguistics address central questions about the form and acquisition of analogy in grammar. What kinds of patterns do speakers select as the basis for analogical extension? What formal mechanisms are appropriate for modelling analogy?
The novel synthesis of typological, theoretical, computational, and developmental paradigms in this volume brings us closer to answering these questions than ever before.
The book will appeal to scholars and advanced students of morphology, syntax, computational linguistics and natural language processing (NLP). It provides a critical and practical guide to computational techniques for handling morphological and syntactic phenomena, showing how these techniques have been used and modified in practice.
Distance metrics and distances have become an essential tool in many areas of pure and applied Mathematics, and this encyclopedia is the first one to treat the subject in full. The book appears just as research intensifies into metric spaces and especially, distance design for applications. These distances are particularly crucial, for example, in computational biology, image analysis, speech recognition, and information retrieval.