Heidergott bernd (58 resultados)
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Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, AlemaniaUniversitätsbuchhandlung Herta Hold GmbH
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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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Librería: Books From California, Simi Valley, CA, Estados Unidos de AmericaBooks From California
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EUR 52,88
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hardcover. Condición: Fine.
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EUR 79,33
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Condición: New.
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EUR 81,43
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Condición: As New. Unread book in perfect condition.
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 72,39
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Condición: New.
Optimization and Learning via Stochastic Gradient Search (Princeton Series in Applied Mathematics)
V�zquez-Abad, Professor Felisa Professor Felisa V�zquez-Abad, Bernd Heidergott,
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Librería: Chiron Media, Wallingford, Reino UnidoChiron Media
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EUR 74,07
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hardcover. Condición: New.
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 79,64
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Condición: New. In.
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Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA
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EUR 96,99
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Hardback. Condición: 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 develo…ping 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.
Idioma: Inglés
Editorial: Princeton University Press, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 de 33. Libro 24 de 33 - Princeton Series in Applied Mathematics
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 94,92
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Condición: As New. Unread book in perfect condition.
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 81,45
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Condición: As New. Unread book in perfect condition.
Idioma: Inglés
Editorial: Princeton University Press, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 de 33. Libro 24 de 33 - Princeton Series in Applied Mathematics
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 86,78
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Condición: New. Provides a self-contained introduction to max-plus algebra. This book explores the introduction of max-plus algebra and of system descriptions based upon it. It deals with a real application, namely the design of timetables for railway networks. It also examines various extensions, such as stochastic systems and…min-max-plus systems. Series: Princeton Series in Applied Mathematics. Num Pages: 224 pages, 9 halftones. 36 line illus. BIC Classification: PBF. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 229 x 152 x 14. Weight in Grams: 428. . 2005. Hardcover. . . . .
Idioma: Inglés
Editorial: Princeton University Press, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 de 33. Libro 24 de 33 - Princeton Series in Applied Mathematics
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 98,40
Envío por EUR 5,91Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Editorial: Princeton University Press, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 de 33. Libro 24 de 33 - Princeton Series in Applied Mathematics
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 100,72
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Condición: New.
Idioma: Inglés
Editorial: Princeton University Press, Princeton, 2006
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Librería: Antiquariat Mackensen & Niemann, Berlin, AlemaniaAntiquariat Mackensen & Niemann
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EUR 50,00
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Princeton Series in Applied Mathematics, 213 S., sehr gutes Exemplar, illustrierter Original-Pappband.
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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EUR 108,05
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Hardback. Condición: 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 develo…ping 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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Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de AmericaRomtrade Corp.
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EUR 109,43
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Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Idioma: Inglés
Editorial: Princeton University Press, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 de 33. Libro 24 de 33 - Princeton Series in Applied Mathematics
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Librería: -OnTimeBooks-, Phoenix, AZ, Estados Unidos de America-OnTimeBooks-
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EUR 112,22
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Condición: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Sh…ips USPS Media Mail.
Idioma: Inglés
Editorial: Princeton University Press, US, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 de 33. Libro 24 de 33 - Princeton Series in Applied Mathematics
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Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA
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EUR 112,23
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Hardback. Condición: 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.
Idioma: Inglés
Editorial: Princeton University Press, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 de 33. Libro 24 de 33 - Princeton Series in Applied Mathematics
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 95,42
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Condición: New.
Idioma: Inglés
Editorial: Princeton University Press, US, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 de 33. Libro 24 de 33 - Princeton Series in Applied Mathematics
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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EUR 114,85
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Hardback. Condición: 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.
Idioma: Inglés
Editorial: Princeton University Press, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 de 33. Libro 24 de 33 - Princeton Series in Applied Mathematics
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 96,16
Envío por EUR 17,66Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Condición: As New. Unread book in perfect condition.
Idioma: Inglés
Editorial: Princeton University Press, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 de 33. Libro 24 de 33 - Princeton Series in Applied Mathematics
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
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EUR 110,87
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Condición: New. Provides a self-contained introduction to max-plus algebra. This book explores the introduction of max-plus algebra and of system descriptions based upon it. It deals with a real application, namely the design of timetables for railway networks. It also examines various extensions, such as stochastic systems and…min-max-plus systems. Series: Princeton Series in Applied Mathematics. Num Pages: 224 pages, 9 halftones. 36 line illus. BIC Classification: PBF. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 229 x 152 x 14. Weight in Grams: 428. . 2005. Hardcover. . . . . Books ship from the US and Ireland.
Idioma: Inglés
Editorial: Princeton University Press, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 de 33. Libro 24 de 33 - Princeton Series in Applied Mathematics
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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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EUR 104,70
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Hardback. Condición: New. New copy - Usually dispatched within 4 working days.
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Librería: moluna, Greven, Alemaniamoluna
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EUR 81,88
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Condición: New.
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Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA United
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EUR 99,32
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Hardback. Condición: 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 develo…ping 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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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 143,76
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Condición: Used. pp. 338.
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 133,30
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Hardcover. Condición: Brand New. 448 pages. 10.00x7.00x10.00 inches. In Stock.
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 148,56
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Condición: Used. pp. 338 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 88,55
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Buch. Condición: Neu. Neuware - 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.
Idioma: Inglés
Editorial: Princeton University Press, US, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 de 33. Libro 24 de 33 - Princeton Series in Applied Mathematics
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Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA United
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EUR 114,70
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Hardback. Condición: 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.
