In this convenient textbook and reference work, the reader will find an introduction to statistical computing and a critical, balanced presentation of the algorithms and computational methods currently in use. Emphasizing the most accurate and widely used of these methods, the book thoroughly describes the algorithms that have been incorporated into the leading software systems of today, and discusses techniques for implementing algorithms in a computer. Statistical Computing contains the detail that researchers need, in the form of a textbook that gives advanced students a broad understanding of the subject, even in its most sophisticated aspects. Complete with exercises and extensive reference lists, Statistical Computing can be applied to a one-semester course for graduate students in statistics, mathematics, computer science, and any field in which numerical methods and algorithms are used in statistical data analyses. Book jacket.
From Federal Express's package tracking Website, to Amazon.com, netcentric computing has been evolving, slowly-but-surely, one solution at a time, since the early 1990s. Over the past year or so, the trickle has grown into a torrent of netcentric innovations of wider and wider scope, developed in companies around the globe. Now, a new enterprise computing paradigm has sprung into being. Until now, there has been no comprehensive netcentric model, clearly defined netcentric system architecture, or established set of guiding principles to help you gear up for this next stage in the evolution of enterprise computing. written by the experts at Andersen Consulting, Netcentric and Client/Server Computing: A Practical Guide, offers you this and more.
The book addresses ways and means of organizing computations, highlighting the relationship between algorithms and the basic mechanisms and runtime structures necessary to execute them using machines. It completely abstracts from concrete programming languages and machine architectures, taking instead the lambda calculus as the basic programming and program execution model to design various abstract machines for its correct implementation. This book takes a lambda calculus approach to organizing computations. It sets out with a brief introduction to lambda calculus, describes a variant of the classical SECD-machine as a basic interpreter for the lambda calculus, and in the main part continues with fully normalizing abstract lambda calculus machines, of which some are interpreting and some execute compiled code.
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