Isbn: 9780387945279 - monte carlo: concepts, algorithms, and applications (springer series in operations research and financial engineering) (14 resultados)

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Hardcover. Condición: Gut. 7. [print.]. 698 S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. 9780387945279 Sprache: Englisch Gewicht in Gramm: 550.

Condición: Sehr gut. 723 p. In very good condition. Upper spine bumped. ISBN: 9780387945279 Sprache: Englisch Gewicht in Gramm: 1310 19,1 x 4,4 x 24,1 cm, hardcover.

Hardcover-Großformat. Condición: Gut. 698 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 1405.…

Condición: leido. Includes bibliographical references and index. cartone 698.

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Hardcover. Condición: gut. 2003. Monte Carlo : Concepts, Algorithms, and Applications In englischer Sprache. pages.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume presents a comprehensive first course in the Monte Carlo method which will be suitable for graduate and undergraduate students in the mathematical sciences and engineering, principally operations research, statistics, mathematics, and computer science. The reader is assumed to have a sound understanding of calculus, introductory matrix analysis, and intermediate statistics, but otherwise the book is self-contained. As well as a thorough exploration of all the important concepts of the Monte Carlo method, the volume includes over 75 algorithms which allow the reader to move rapidly from the concepts to putting them into practice. The book also contains numerous exercises, many of them hands-on implementations of selected algorithms to demonstrate the application of these ideas in realistic settings. 728 pp. Englisch.…

Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Monte Carlo methods are widely used techniques, with applications in operations research, engineering, and computingThe author covers all of the most important techniques of the Monte Carlo method It demonstrates how to analyze the sampling results .…

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Comprehensive self-contained account of the Monte Carlo method by one of the subject's leading experts. Contains numerous examples from different fields of application and many exercises designed to provide students with hands-on experience in implementing algorithms.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 728 pp. Englisch.…

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides an introduction to the Monte Carlo method suitable for a one-or two-semester course for graduate and advanced undergraduate students in the mathematical and engineering sciences. It also can serve as a reference for the professional analyst. In the past, my inability to provide students with a single source book on this topic for class and for later professional reference had left me repeatedly frustrated, and eventually motivated me to write this book. In addition to focused accounts of major topics, the book has two unifying themes: One concerns the effective use of information and the other concerns error control and reduction. The book describes how to incorporate information about a problem into a sampling plan in a way that reduces the cost of estimating its solution to within a specified error bound. Although exploiting special structures to reduce cost long has been a hallmark of the Monte Carlo method, the propen sity of users of the method to discard useful information because it does not fit traditional textbook models repeatedly has impressed me. The present account aims at reducing the impediments to integrating this information. Errors, both statistical and computational, abound in every Monte Carlo sam pling experiment, and a considerable methodology exists for controlling them.…