Micha hofri (34 resultados)

Hardcover. Condición: Interior is excellent. Minimal wear to cover.

Hardcover. Condición: Near Fine. hardback book in near fine condition.

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Condición: New. In English.

Condición: New. pp. 262.

Paperback. Condición: Brand New. reprint edition. 255 pages. 9.25x6.10x0.71 inches. In Stock.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Probabilistic Analysis of Algorithms begins with a presentation of the 'tools of the trade' currently used in probabilistic analyses, and continues with an applications section in which these tools are used in the analysis ofr selected algorithms. The tools section of the book provides the reader with an arsenal of analytic and numeric computing methods which are then applied to several groups of algorithms to analyze their running time or storage requirements characteristics. Topics covered in the applications section include sorting, communications network protocols and bin packing. While the discussion of the various algorithms is sufficient to motivate their structure, the emphasis throughout is on the probabilistic estimation of their operation under distributional assumptions on their input. Probabilistic Analysis of Algorithms assumes a working knowledge of engineering mathematics, drawing on real and complex analysis, combinatorics and probability theory. While the book is intended primarily as a text for the upper undergraduate and graduate student levels, it contains a wealth of material and should also prove an important reference for researchers. As such it is addressed to computer scientists, mathematicians, operations researchers, and electrical and industrial engineers who are interested in evaluating the probable operation of algorithms, rather than their worst-case behavior.…

Hardcover. Condición: Very Good. Dust Jacket may NOT BE INCLUDED.CDs may be missing. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condición: As New. No dust jacket. Otherwise, new book, never read. Pages clean and crisp, spine unbroken. Oversized book, will incur additional shipping charges 0720B.

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HRD. Condición: Used - Very Good. Used - Like New Book. Shipped from UK. Established seller since 2000.

HRD. Condición: Used - Very Good. Used - Like New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Hardcover. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

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Condición: As New. Unread book in perfect condition.

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Condición: New. Algorithmics of Nonuniformity is a solid presentation about the analysis of algorithms, and the data structures that support them. Traditionally, algorithmics have been approached either via a probabilistic view or.

Condición: New.

Condición: New.

Hardcover. Condición: new. Hardcover. Algorithmics of Nonuniformity is a solid presentation about the analysis of algorithms, and the data structures that support them. Traditionally, algorithmics have been approached either via a probabilistic view or an analytic approach. The authors adopt both approaches and bring them together to get the best of both worlds and benefit from the advantage of each approach. The text examines algorithms that are designed to handle general datasort any array, find the median of any numerical set, and identify patterns in any setting. At the same time, it evaluates "average" performance, "typical" behavior, or in mathematical terms, the expectations of the random variables that describe their operations.Many exercises are presented, which are essential since they convey additionalmaterial complementing the content of the chapters. For this reason, the solutions are more than mere answers, but explain and expand upon related concepts, and motivate further work by the reader.Highlights: A unique book that merges probability with analysis of algorithms Approaches analysis of algorithms from the angle of uniformity Non-uniformity makes more realistic models of real-life scenarios possible Results can be applied to many applications Includes many exercises of various levels of difficultyAbout the Authors:Micha Hofri is a Professor of Computer Science, and former department head at Worcester Polytechnic Institute. He holds a Ph.D. of Industrial Engineering (1972), all from Technion, the Israel Institute of Technology. He has 39 publications in Mathematics. Hosam Mahmoud is a Professor at, the Department of Statistics at George Washington University in Washington D.C., where he used to be the former chair. He holds an Ph.D. in Computer Science from Ohio State University. He is on the editorial board of five academic journals. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condición: Brand New. 569 pages. 9.25x6.25x1.50 inches. In Stock.

Buch. Condición: Neu. Algorithmics of Nonuniformity | Tools and Paradigms | Micha Hofri (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2018 | CRC Press | EAN 9781498750714 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

Condición: New.

Condición: New. Series: Discrete Mathematics and its Applications. Num Pages: 552 pages. BIC Classification: PBT; UMB. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 235 x 156. . . 2018. 1st Edition. Hardcover. . . . .

Hardcover. Condición: Brand New. 569 pages. 9.25x6.25x1.50 inches. In Stock.

Condición: New. Series: Discrete Mathematics and its Applications. Num Pages: 552 pages. BIC Classification: PBT; UMB. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 235 x 156. . . 2018. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Condición: new. Hardcover. Algorithmics of Nonuniformity is a solid presentation about the analysis of algorithms, and the data structures that support them. Traditionally, algorithmics have been approached either via a probabilistic view or an analytic approach. The authors adopt both approaches and bring them together to get the best of both worlds and benefit from the advantage of each approach. The text examines algorithms that are designed to handle general datasort any array, find the median of any numerical set, and identify patterns in any setting. At the same time, it evaluates "average" performance, "typical" behavior, or in mathematical terms, the expectations of the random variables that describe their operations.Many exercises are presented, which are essential since they convey additionalmaterial complementing the content of the chapters. For this reason, the solutions are more than mere answers, but explain and expand upon related concepts, and motivate further work by the reader.Highlights: A unique book that merges probability with analysis of algorithms Approaches analysis of algorithms from the angle of uniformity Non-uniformity makes more realistic models of real-life scenarios possible Results can be applied to many applications Includes many exercises of various levels of difficultyAbout the Authors:Micha Hofri is a Professor of Computer Science, and former department head at Worcester Polytechnic Institute. He holds a Ph.D. of Industrial Engineering (1972), all from Technion, the Israel Institute of Technology. He has 39 publications in Mathematics. Hosam Mahmoud is a Professor at, the Department of Statistics at George Washington University in Washington D.C., where he used to be the former chair. He holds an Ph.D. in Computer Science from Ohio State University. He is on the editorial board of five academic journals. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Condición: new. Questo è un articolo print on demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Probabilistic Analysis of Algorithms begins with a presentation of the 'tools of the trade' currently used in probabilistic analyses, and continues with an applications section in which these tools are used in the analysis ofr selected algorithms. The tools section of the book provides the reader with an arsenal of analytic and numeric computing methods which are then applied to several groups of algorithms to analyze their running time or storage requirements characteristics. Topics covered in the applications section include sorting, communications network protocols and bin packing. While the discussion of the various algorithms is sufficient to motivate their structure, the emphasis throughout is on the probabilistic estimation of their operation under distributional assumptions on their input. Probabilistic Analysis of Algorithms assumes a working knowledge of engineering mathematics, drawing on real and complex analysis, combinatorics and probability theory. While the book is intended primarily as a text for the upper undergraduate and graduate student levels, it contains a wealth of material and should also prove an important reference for researchers. As such it is addressed to computer scientists, mathematicians, operations researchers, and electrical and industrial engineers who are interested in evaluating the probable operation of algorithms, rather than their worst-case behavior. 260 pp. Englisch.…