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2010, ISBN: 1441931317

ID: 22586848513

[EAN: 9781441931313], Neubuch, [SC: 0.0], [PU: Springer Dez 2010], MARKOV MODEL; MARTINGALE; MONTE CARLO SIMULATION; STOCHASTIC MODELLING; ELECTRICAL ENGINEERING; ERGODICITY; LINEAR OPTIMIZATION; MODELING; OPERATIONS RESEARCH; REGENERATIVE PROCESS; PROCESS, Neuware - Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary objective of this book is to initiate students in the art of stochastic modelling. However it is motivated by significant applications and progressively brings the student to the borders of contemporary research. Examples are from a wide range of domains, including operations research and electrical engineering. Researchers and students in these areas as well as in physics, biology and the social sciences will find this book of interest. This book discusses both the theory and applications of Markov chains. The author studies both discrete-time and continuous-time chains and connected topics such as finite Gibbs fields, non-homogeneous Markov chains, discrete time regenerative processes, Monte Carlo simulation, simulated annealing, and queueing networks are also developed in this accessible and self-contained text. The text is firstly an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level. Its primary objective is to initiate the student to the art of stochastic modelling. The treatment is mathematical, with definitions, theorems, proofs and a number of classroom examples which help the student to fully grasp the content of the main results. Problems of varying difficulty are proposed at the close of each chapter. The text is motivated by significant applications and progressively brings the student to the borders of contemporary research. Students and researchers in operations research and electrical engineering as well as in physics, biology and the social sciences will find this book of interest. 464 pp. Englisch

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AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
NEW BOOK. Verzendingskosten:Versandkostenfrei. (EUR 0.00) Details... |

2010, ISBN: 1441931317

ID: 22586848513

[EAN: 9781441931313], Neubuch, [PU: Springer Dez 2010], MARKOV MODEL; MARTINGALE; MONTE CARLO SIMULATION; STOCHASTIC MODELLING; ELECTRICAL ENGINEERING; ERGODICITY; LINEAR OPTIMIZATION; MODELING; OPERATIONS RESEARCH; REGENERATIVE PROCESS; PROCESS, Neuware - Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary objective of this book is to initiate students in the art of stochastic modelling. However it is motivated by significant applications and progressively brings the student to the borders of contemporary research. Examples are from a wide range of domains, including operations research and electrical engineering. Researchers and students in these areas as well as in physics, biology and the social sciences will find this book of interest. This book discusses both the theory and applications of Markov chains. The author studies both discrete-time and continuous-time chains and connected topics such as finite Gibbs fields, non-homogeneous Markov chains, discrete time regenerative processes, Monte Carlo simulation, simulated annealing, and queueing networks are also developed in this accessible and self-contained text. The text is firstly an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level. Its primary objective is to initiate the student to the art of stochastic modelling. The treatment is mathematical, with definitions, theorems, proofs and a number of classroom examples which help the student to fully grasp the content of the main results. Problems of varying difficulty are proposed at the close of each chapter. The text is motivated by significant applications and progressively brings the student to the borders of contemporary research. Students and researchers in operations research and electrical engineering as well as in physics, biology and the social sciences will find this book of interest. 464 pp. Englisch

Abebooks.de
AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
NEW BOOK. Verzendingskosten:Versandkostenfrei. (EUR 0.00) Details... |

2010, ISBN: 1441931317

ID: 22586842859

[EAN: 9781441931313], Neubuch, [PU: Springer Dez 2010], MARKOV; MARKOV CHAINS; MODEL; MARTINGALE; MONTE CARLO SIMULATION; STOCHASTIC MODELLING; ELECTRICAL ENGINEERING; ERGODICITY; LINEAR OPTIMIZATION; MODELING; OPERATIONS RESEARCH; REGENERATIVE PROCESS; PROCESS, Neuware - Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary objective of this book is to initiate students in the art of stochastic modelling. However it is motivated by significant applications and progressively brings the student to the borders of contemporary research. Examples are from a wide range of domains, including operations research and electrical engineering. Researchers and students in these areas as well as in physics, biology and the social sciences will find this book of interest. This book discusses both the theory and applications of Markov chains. The author studies both discrete-time and continuous-time chains and connected topics such as finite Gibbs fields, non-homogeneous Markov chains, discrete time regenerative processes, Monte Carlo simulation, simulated annealing, and queueing networks are also developed in this accessible and self-contained text. The text is firstly an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level. Its primary objective is to initiate the student to the art of stochastic modelling. The treatment is mathematical, with definitions, theorems, proofs and a number of classroom examples which help the student to fully grasp the content of the main results. Problems of varying difficulty are proposed at the close of each chapter. The text is motivated by significant applications and progressively brings the student to the borders of contemporary research. Students and researchers in operations research and electrical engineering as well as in physics, biology and the social sciences will find this book of interest. 464 pp. Englisch

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Rhein-Team Lörrach Ivano Narducci e.K., Lörrach, Germany [57451429] [Rating: 5 (von 5)]
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2010, ISBN: 1441931317

ID: 22586857926

[EAN: 9781441931313], Neubuch, [PU: Springer Dez 2010], MARKOV; MARKOV CHAINS; MODEL; MARTINGALE; MONTE CARLO SIMULATION; STOCHASTIC MODELLING; ELECTRICAL ENGINEERING; ERGODICITY; LINEAR OPTIMIZATION; MODELING; OPERATIONS RESEARCH; REGENERATIVE PROCESS; PROCESS, Neuware - Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary objective of this book is to initiate students in the art of stochastic modelling. However it is motivated by significant applications and progressively brings the student to the borders of contemporary research. Examples are from a wide range of domains, including operations research and electrical engineering. Researchers and students in these areas as well as in physics, biology and the social sciences will find this book of interest. This book discusses both the theory and applications of Markov chains. The author studies both discrete-time and continuous-time chains and connected topics such as finite Gibbs fields, non-homogeneous Markov chains, discrete time regenerative processes, Monte Carlo simulation, simulated annealing, and queueing networks are also developed in this accessible and self-contained text. The text is firstly an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level. Its primary objective is to initiate the student to the art of stochastic modelling. The treatment is mathematical, with definitions, theorems, proofs and a number of classroom examples which help the student to fully grasp the content of the main results. Problems of varying difficulty are proposed at the close of each chapter. The text is motivated by significant applications and progressively brings the student to the borders of contemporary research. Students and researchers in operations research and electrical engineering as well as in physics, biology and the social sciences will find this book of interest. 464 pp. Englisch

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Rheinberg-Buch, Bergisch Gladbach, Germany [53870650] [Rating: 5 (von 5)]
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ISBN: 9781441931313

ID: 836746552

Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary objective of this book is to initiate students in the art of stochastic modelling. However it is motivated by significant applications and progressively brings the student to the borders of contemporary research. Examples are from a wide range of domains, including operations research and electrical engineering. Researchers and students in these areas as well as in physics, biology and the social sciences will find this book of interest. This book discusses both the theory and applications of Markov chains. The author studies both discrete-time and continuous-time chains and connected topics such as finite Gibbs fields, non-homogeneous Markov chains, discrete time regenerative processes, Monte Carlo simulation, simulated annealing, and queueing networks are also developed in this accessible and self-contained text. The text is firstly an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level. Its primary objective is to initiate the student to the art of stochastic modelling. The treatment is mathematical, with definitions, theorems, proofs and a number of classroom examples which help the student to fully grasp the content of the main results. Problems of varying difficulty are proposed at the close of each chapter. The text is motivated by significant applications and progressively brings the student to the borders of contemporary research. Students and researchers in operations research and electrical engineering as well as in physics, biology and the social sciences will find this book of interest. Gibbs Fields, Monte Carlo Simulation, and Queues Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Springer

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No. 25606797. Verzendingskosten:, Sofort lieferbar, DE. (EUR 0.00)
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** Gedetalleerde informatie over het boek. - Markov Chains**

EAN (ISBN-13): 9781441931313

ISBN (ISBN-10): 1441931317

Gebonden uitgave

pocket book

Verschijningsjaar: 2010

Uitgever: Springer-Verlag GmbH

464 Bladzijden

Gewicht: 0,841 kg

Taal: eng/Englisch

Boek bevindt zich in het datenbestand sinds 05.04.2010 22:35:38

Boek voor het laatst gevonden op 03.12.2017 12:52:40

ISBN/EAN: 9781441931313

ISBN - alternatieve schrijfwijzen:

1-4419-3131-7, 978-1-4419-3131-3

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