Heidergott bernd (59 risultati)
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Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, GermaniaUniversitätsbuchhandlung Herta Hold GmbH
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EUR 21,00
EUR 30,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
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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Da: Books From California, Simi Valley, CA, U.S.A.Books From California
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EUR 52,96
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hardcover. Condizione: Fine.
Max Plus at Work: Modeling and Analysis of Synchronized Systems: A Course on Max=Plus Algebra and Its Applications
Heidergott, Bernd, Geert Jan Olsder, and Jacob van der Woude
Lingua: Inglese
Editore: Princeton University Press, Princeton NJ, 2006
Serie: Princeton Series in Applied Mathematics, Libro 24 di 33. Libro 24 di 33 - Princeton Series in Applied Mathematics
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- Prima edizione
Da: Row By Row Bookshop, Sugar Grove, NC, U.S.A.Row By Row Bookshop
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Buono
EUR 67,60
EUR 4,38 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: Good. No Dust Jacket. First Edition. An ex-library copy in original laminated pictorial hard covers. The usual ex-libris markings. The binding is sound, the text is clean/unmarked, and there is little cover wear. No dust jacket, apparently as issued. Book.
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 79,29
EUR 2,31 spedizioneSpedito in U.S.A.Quantità: 2 disponibili
Condizione: New.
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 81,71
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Condizione: As New. Unread book in perfect condition.
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 72,32
EUR 17,65 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Condizione: 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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Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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EUR 74,01
EUR 18,22 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
hardcover. Condizione: New.
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 79,57
EUR 14,10 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Condizione: New. In.
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Da: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 97,14
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Hardback. Condizione: 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 devel…oping 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.
Lingua: Inglese
Editore: Princeton University Press, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 di 33. Libro 24 di 33 - Princeton Series in Applied Mathematics
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 95,40
EUR 2,31 spedizioneSpedito in U.S.A.Quantità: 2 disponibili
Condizione: As New. Unread book in perfect condition.
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 81,38
EUR 17,65 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Princeton University Press, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 di 33. Libro 24 di 33 - Princeton Series in Applied Mathematics
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 86,78
EUR 10,50 spedizioneSpedito da Irlanda a U.S.A.Quantità: 1 disponibili
Condizione: 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. . . . .
Lingua: Inglese
Editore: Princeton University Press, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 di 33. Libro 24 di 33 - Princeton Series in Applied Mathematics
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 100,49
EUR 2,31 spedizioneSpedito in U.S.A.Quantità: 2 disponibili
Condizione: New.
Lingua: Inglese
Editore: Princeton University Press, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 di 33. Libro 24 di 33 - Princeton Series in Applied Mathematics
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 98,31
EUR 5,91 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Princeton University Press, Princeton, 2006
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Da: Antiquariat Mackensen & Niemann, Berlin, GermaniaAntiquariat Mackensen & Niemann
Contatta il venditoreVenditore con 4 stelleCondizione: Usato
EUR 50,00
EUR 52,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloPrinceton Series in Applied Mathematics, 213 S., sehr gutes Exemplar, illustrierter Original-Pappband.
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 108,22
Spedizione gratuitaSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Hardback. Condizione: 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 devel…oping 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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Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.Romtrade Corp.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 109,60
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Condizione: 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.
Lingua: Inglese
Editore: Princeton University Press, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 di 33. Libro 24 di 33 - Princeton Series in Applied Mathematics
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Da: -OnTimeBooks-, Phoenix, AZ, U.S.A.-OnTimeBooks-
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Molto buono
EUR 112,39
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Condizione: 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! S…hips USPS Media Mail.
Lingua: Inglese
Editore: Princeton University Press, US, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 di 33. Libro 24 di 33 - Princeton Series in Applied Mathematics
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Da: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 112,41
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Hardback. Condizione: 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.
Lingua: Inglese
Editore: Princeton University Press, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 di 33. Libro 24 di 33 - Princeton Series in Applied Mathematics
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 95,19
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Condizione: New.
Lingua: Inglese
Editore: Princeton University Press, US, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 di 33. Libro 24 di 33 - Princeton Series in Applied Mathematics
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 115,02
Spedizione gratuitaSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Hardback. Condizione: 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.
Lingua: Inglese
Editore: Princeton University Press, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 di 33. Libro 24 di 33 - Princeton Series in Applied Mathematics
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 96,08
EUR 17,65 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Princeton University Press, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 di 33. Libro 24 di 33 - Princeton Series in Applied Mathematics
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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 111,04
EUR 9,19 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Condizione: 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.
Lingua: Inglese
Editore: Princeton University Press, 2005
Serie: Princeton Series in Applied Mathematics, Libro 24 di 33. Libro 24 di 33 - Princeton Series in Applied Mathematics
- Rilegato
Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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EUR 104,61
EUR 18,15 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Da: moluna, Greven, Germaniamoluna
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EUR 81,88
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Condizione: New.
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Da: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 99,23
EUR 43,76 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Hardback. Condizione: 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 devel…oping 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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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Usato
EUR 143,98
EUR 3,49 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Condizione: Used. pp. 338.
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 133,61
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Hardcover. Condizione: Brand New. 448 pages. 10.00x7.00x10.00 inches. In Stock.
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 148,79
EUR 7,65 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Condizione: 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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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 88,55
EUR 65,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: 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.
