This 1987 book is a self-contained text on the probabilistic modelling method. It provides the reader with an understanding of the available results as well as with examples of their application. The only background assumed is a knowledge of basic calculus. The necessary fundamentals of probability are presented followed by an introduction to stochastic processes. The remainder of the book is devoted to the treatment of various single-station and their application to uni-programmed and multi-programmed systems and local and wide-area networks. Both exact and approximate solution methods are discussed, with as much emphasis on explaining the ideas and providing information, as on derivations and proofs. This book will still be of use for anyone with an interest in the history of computer science.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
This 1987 book is a self-contained text on the probabilistic modelling method. It provides the reader with an understanding of the available results as well as with examples of their application. The only background assumed is a knowledge of basic calculus. The necessary fundamentals of probability are presented followed by an introduction to stochastic processes. The remainder of the book is devoted to the treatment of various single-station and their application to uni-programmed and multi-programmed systems and local and wide-area networks. Both exact and approximate solution methods are discussed, with as much emphasis on explaining the ideas and providing information, as on derivations and proofs. This book will still be of use for anyone with an interest in the history of computer science.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : GREENSLEEVES BOOKS, Oxford, Royaume-Uni
Paperback. Etat : Very Good. 0521314224 pgs:202. 1987, bright clean copy, slight fading to covers, no markings, Professional booksellers since 1981. N° de réf. du vendeur 170450
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Etat : New. This 1987 book is a self-contained text on the probabilistic modelling method. Series: Cambridge Computer Science Texts. Num Pages: 202 pages, bibliography, index. BIC Classification: PBKS. Category: (U) Tertiary Education (US: College). Dimension: 229 x 152 x 12. Weight in Grams: 300. . 1987. 1st Edition. paperback. . . . . N° de réf. du vendeur V9780521314220
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Etat : New. pp. 202 Index. N° de réf. du vendeur 261651955
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Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
Etat : New. This 1987 book is a self-contained text on the probabilistic modelling method. Series: Cambridge Computer Science Texts. Num Pages: 202 pages, bibliography, index. BIC Classification: PBKS. Category: (U) Tertiary Education (US: College). Dimension: 229 x 152 x 12. Weight in Grams: 300. . 1987. 1st Edition. paperback. . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9780521314220
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Etat : New. Print on Demand pp. 202 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. N° de réf. du vendeur 7244588
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Paperback. Etat : new. Paperback. This 1987 book is a self-contained text on the probabilistic modelling method. It provides the reader with an understanding of the available results as well as with examples of their application. The only background assumed is a knowledge of basic calculus. The necessary fundamentals of probability are presented followed by an introduction to stochastic processes. The remainder of the book is devoted to the treatment of various single-station and their application to uni-programmed and multi-programmed systems and local and wide-area networks. Both exact and approximate solution methods are discussed, with as much emphasis on explaining the ideas and providing information, as on derivations and proofs. This book will still be of use for anyone with an interest in the history of computer science. This 1987 book is a self-contained text on the probabilistic modelling method. It provides the reader with an understanding of the available results as well as with examples of their application. The necessary fundamentals of probability are presented followed by an introduction to stochastic processes. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780521314220
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