Heidergott bernd (26 Ergebnisse)

2007th ed. 16 x 23 cm. 332 pages. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

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Hardback. Zustand: New. An introduction to gradient-based stochastic optimization that integrates theory and implementationThis book explains gradient-based stochastic optimization, exploiting the methodologies of stochastic approximation and gradient estimation. Although the approach is theoretical, the book emphasizes developing algorithms that implement the methods. The underlying philosophy of this book is that when solving real problems, mathematical theory, the art of modeling, and numerical algorithms complement each other, with no one outlook dominating the others.The book first covers the theory of stochastic approximation including advanced models and state-of-the-art analysis methodology, treating applications that do not require the use of gradient estimation. It then presents gradient estimation, developing a modern approach that incorporates cutting-edge numerical algorithms. Finally, the book culminates in a rich set of case studies that integrate the concepts previously discussed into fully worked models. The use of stochastic approximation in statistics and machine learning is discussed, and in-depth theoretical treatments for selected gradient estimation approaches are included.Numerous examples show how the methods are applied concretely, and end-of-chapter exercises enable readers to consolidate their knowledge. Many chapters end with a section on "Practical Considerations" that addresses typical tradeoffs encountered in implementation. The book provides the first unified treatment of the topic, written for a wide audience that includes researchers and graduate students in applied mathematics, engineering, computer science, physics, and economics.…

Hardback. Zustand: New. Trains pull into a railroad station and must wait for each other before leaving again in order to let passengers change trains. How do mathematicians then calculate a railroad timetable that accurately reflects their comings and goings? One approach is to use max-plus algebra, a framework used to model Discrete Event Systems, which are well suited to describe the ordering and timing of events. This is the first textbook on max-plus algebra, providing a concise and self-contained introduction to the topic. Applications of max-plus algebra abound in the world around us. Traffic systems, computer communication systems, production lines, and flows in networks are all based on discrete even systems, and thus can be conveniently described and analyzed by means of max-plus algebra. The book consists of an introduction and thirteen chapters in three parts. Part One explores the introduction of max-plus algebra and of system descriptions based upon it. Part Two deals with a real application, namely the design of timetables for railway networks. Part Three examines various extensions, such as stochastic systems and min-max-plus systems.The text is suitable for last-year undergraduates in mathematics, and each chapter provides exercises, notes, and a reference section.…

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Hardcover. Zustand: Brand New. 448 pages. 10.00x7.00x10.00 inches. In Stock.

Zustand: Used. pp. 338 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Hardback. Zustand: New. Trains pull into a railroad station and must wait for each other before leaving again in order to let passengers change trains. How do mathematicians then calculate a railroad timetable that accurately reflects their comings and goings? One approach is to use max-plus algebra, a framework used to model Discrete Event Systems, which are well suited to describe the ordering and timing of events. This is the first textbook on max-plus algebra, providing a concise and self-contained introduction to the topic. Applications of max-plus algebra abound in the world around us. Traffic systems, computer communication systems, production lines, and flows in networks are all based on discrete even systems, and thus can be conveniently described and analyzed by means of max-plus algebra. The book consists of an introduction and thirteen chapters in three parts. Part One explores the introduction of max-plus algebra and of system descriptions based upon it. Part Two deals with a real application, namely the design of timetables for railway networks. Part Three examines various extensions, such as stochastic systems and min-max-plus systems.The text is suitable for last-year undergraduates in mathematics, and each chapter provides exercises, notes, and a reference section.…

Zustand: Used. pp. 338.

Hardcover. Zustand: Brand New. 213 pages. 9.25x6.25x1.00 inches. In Stock.

Hardback. Zustand: New. An introduction to gradient-based stochastic optimization that integrates theory and implementationThis book explains gradient-based stochastic optimization, exploiting the methodologies of stochastic approximation and gradient estimation. Although the approach is theoretical, the book emphasizes developing algorithms that implement the methods. The underlying philosophy of this book is that when solving real problems, mathematical theory, the art of modeling, and numerical algorithms complement each other, with no one outlook dominating the others.The book first covers the theory of stochastic approximation including advanced models and state-of-the-art analysis methodology, treating applications that do not require the use of gradient estimation. It then presents gradient estimation, developing a modern approach that incorporates cutting-edge numerical algorithms. Finally, the book culminates in a rich set of case studies that integrate the concepts previously discussed into fully worked models. The use of stochastic approximation in statistics and machine learning is discussed, and in-depth theoretical treatments for selected gradient estimation approaches are included.Numerous examples show how the methods are applied concretely, and end-of-chapter exercises enable readers to consolidate their knowledge. Many chapters end with a section on "Practical Considerations" that addresses typical tradeoffs encountered in implementation. The book provides the first unified treatment of the topic, written for a wide audience that includes researchers and graduate students in applied mathematics, engineering, computer science, physics, and economics.…

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Taschenbuch. Zustand: Neu. Max-Plus Linear Stochastic Systems and Perturbation Analysis | Bernd F. Heidergott | Taschenbuch | The International Series on Discrete Event Dynamic Systems | xii | Englisch | 2010 | Humana | EAN 9781441941985 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - During the last decade, the area of stochastic max-plus linear systems has witnessed a rapid development, which created a growing interest in this area. This book provides a thorough treatment of the theory of stochastic max-plus linear systems. Max-plus algebra is an algebraic approach to discrete event systems (DES), like queuing networks that are prone to synchronization. Perturbation analysis studies the sensitivity of the performance of DES with respect to changes in a particular system parameter.The first part of the book addresses modeling issues and stability theory for stochastic max-plus systems. The second part of the book treats perturbation analysis of max-plus systems: a calculus for differentiation of max-plus systems is developed. This calculus leads to numerical evaluations of performance indices of max-plus linear stochastic systems, such as the Lyapunov exponent or waiting times.…

Paperback. Zustand: Brand New. 320 pages. 9.00x6.00x0.76 inches. In Stock.

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Softcover. Zustand: neu. 1. Auflage. Forschungsergebnisse zur Informatik, Band 10 320 pages. Viele reale Systeme wie z.B. Kommunikationsnetze, Fertigungs- oder Rechnersysteme, lassen sich durch stochastische Netzwerke beschreiben. Darunter versteht man ein System miteinander verbundener Stationen. Entlang der Verbindungen zwischen den Stationen bewegen sich Einheiten, auch als Kunden bezeichnet, durch das Netz und erfahren an den Stationen, die als Bedienstationen bzw. Bediener bezeichnet werden, zeitliche Verzà gerung. Ein stochastisches Netz wird auch Warteschlangensystem oder Warteschlangennetz genannt. Das Leistungsprofil eines solchen Systems messen wir mit einem LeistungsmaÃ, beispielsweise dem Durchsatz oder der mittleren Durchlaufzeit an einer Bedienstation. Dabei hängt das Leistungsmaà besonders von der Wahl der Systemparameter, wie den mittleren Bedienzeiten oder den Puffergrà Ãen ab. Das Leistungsmaà kann also als eine Funktion der Systemparameter verstandenen werden. In diesem Buch stellt der Autor die Frage nach den Eigenschaften des LeistungsmaÃes und inwieweit sich diese von den Eigenschaften der Systemparameter ableiten lassen. Zur Beantwortung solcher Fragen wurde die Pfadanalyse entwickelt. In der Pfadanalyse werden Eigenschaften des betrachteten Systems aus der Analyse der pfadweisen Realisierung des Systems hergeleitet. In den letzten Jahren hat sich die Pfadanalyse stochastischer Netzwerke zu einem selbstständigen Teilgebiet innerhalb der Warteschlangentheorie entwickelt, bisher jedoch stets nur für spezielle Eigenschaften durchgeführt. Mit seinem Werk là st sich der Autor von der Betrachtung spezieller Eigenschaften und stellt ein allgemeines (pfadweises) Beweisprinzip vor, dessen genaues Studium die Mà glichkeiten und Grenzen der Pfadanalyse aufzeigt. …