In this 2002 book, the author develops the necessary background in probability theory and Markov chains then discusses important computing applications.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
'Has climbing up onto the MCMC juggernaut seemed to require just too much effort? This delightful little monograph provides an effortless way in. The chapters are bite-sized with helpful, do-able exercises (by virtue of strategically placed hints) that complement the text.' Publication of the International Statistical Institute
'... a very nice introduction to the modern theory of Markov chain simulation algorithms.' R. E. Maiboroda, Zentralblatt MATH
' ... extremely elegant. I am sure that students will find great pleasure in using the book - and that teachers will have the same pleasure in using it to prepare a course on the subject.' Mathematics of Computation
'This elegant little book is a beautiful introduction to the theory of simulation algorithms, using (discrete) Markov chains (on finite state spaces) ... highly recommended to anyone interested in the theory of Markov chain simulation algorithms.' Nieuw Archief voor Wiskunde
This 2002 book is ideal for advanced undergraduate or beginning graduate students. The author first develops the necessary background in probability theory and Markov chains before applying it to study a range of randomised algorithms with important applications in optimisation and other problems in computing.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Destinazione, tempi e costiDa: Bahamut Media, Reading, Regno Unito
Condizione: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee. Codice articolo 6545-9780521890014
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Da: AwesomeBooks, Wallingford, Regno Unito
Condizione: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . Codice articolo 7719-9780521890014
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Da: Bookbot, Prague, Repubblica Ceca
Softcover. Condizione: Fine. This text is ideal for advanced undergraduate or beginning graduate students. The author first develops the necessary background in probability theory and Markov chains before using it to study a range of randomized algorithms with important applications in optimization and other problems in computing. The book will appeal not only to mathematicians, but to students of computer science who will discover much useful material. This clear and concise introduction to the subject has numerous exercises that will help students to deepen their understanding. Codice articolo 64faa8c9-af88-485c-9a0d-f70481937817
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Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 1st edition. 114 pages. 8.75x6.00x0.50 inches. In Stock. This item is printed on demand. Codice articolo __0521890012
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 239. Codice articolo C9780521890014
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Da: RareCollectibleSignedBooks, West hills, CA, U.S.A.
Condizione: Good. Contains writing highlights decent used copy.in stock. Codice articolo bbkwda-2772
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Da: Rarewaves.com UK, London, Regno Unito
Paperback. Condizione: New. Based on a lecture course given at Chalmers University of Technology, this 2002 book is ideal for advanced undergraduate or beginning graduate students. The author first develops the necessary background in probability theory and Markov chains before applying it to study a range of randomized algorithms with important applications in optimization and other problems in computing. Amongst the algorithms covered are the Markov chain Monte Carlo method, simulated annealing, and the recent Propp-Wilson algorithm. This book will appeal not only to mathematicians, but also to students of statistics and computer science. The subject matter is introduced in a clear and concise fashion and the numerous exercises included will help students to deepen their understanding. Codice articolo LU-9780521890014
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Da: California Books, Miami, FL, U.S.A.
Condizione: New. Codice articolo I-9780521890014
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Da: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: New. In. Codice articolo ria9780521890014_new
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 702145-n
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