mathematical foundations computer networking von keshav srinivasan (26 Ergebnisse)

Soft cover. Zustand: New. ISBN:9788131791462.

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Paperback. Zustand: new. Paperback. Mathematical techniques pervade current research in computer networking, yet are not taught to most computer science undergraduates. This self-contained, highly-accessible book bridges the gap, providing the mathematical grounding students and professionals need to successfully design or evaluate networking systems. The only book of its kind, it brings together information previously scattered amongst multiple texts. It first provides crucial background in basic mathematical tools, and then illuminates the specific theories that underlie computer networking. Coverage includes: * Basic probability * Statistics * Linear Algebra * Optimization * Signals, Systems, and Transforms, including Fourier series and transforms, Laplace transforms, DFT, FFT, and Z transforms * Queuing theory * Game Theory * Control theory * Information theory Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Zustand: New. 2012. 1st Edition. Paperback. Num Pages: 496 pages, Illustrations. BIC Classification: UT; UYAM. Category: (P) Professional & Vocational. Dimension: 229 x 176 x 26. Weight in Grams: 758. . . . . .

Zustand: New. 2012. 1st Edition. Paperback. Num Pages: 496 pages, Illustrations. BIC Classification: UT; UYAM. Category: (P) Professional & Vocational. Dimension: 229 x 176 x 26. Weight in Grams: 758. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 1st edition. 496 pages. 9.00x6.90x1.10 inches. In Stock.

Paperback. Zustand: new. Paperback. Mathematical techniques pervade current research in computer networking, yet are not taught to most computer science undergraduates. This self-contained, highly-accessible book bridges the gap, providing the mathematical grounding students and professionals need to successfully design or evaluate networking systems. The only book of its kind, it brings together information previously scattered amongst multiple texts. It first provides crucial background in basic mathematical tools, and then illuminates the specific theories that underlie computer networking. Coverage includes: * Basic probability * Statistics * Linear Algebra * Optimization * Signals, Systems, and Transforms, including Fourier series and transforms, Laplace transforms, DFT, FFT, and Z transforms * Queuing theory * Game Theory * Control theory * Information theory Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Zustand: New. Mathematical techniques pervade current research in computer networking, yet are not taught to most computer science undergraduates. This self-contained, highly-accessible book bridges the gap, providing the mathematical grounding students and professionals.

Paperback. Zustand: Brand New. 1st edition. 496 pages. 9.00x6.90x1.10 inches. In Stock. This item is printed on demand.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware - To design future networks that are worthy of society s trust, we must put the discipline of computer networking on a much stronger foundation. This book rises above the considerable minutiae of today s networking technologies to emphasize the long-standing mathematical underpinnings of the field. Professor Jennifer Rexford, Department of Computer Science, Princeton University This book is exactly the one I have been waiting for the last couple of years. Recently, I decided most students were already very familiar with the way the net works but were not being taught the fundamentals the math. This book contains the knowledge for people who will create and understand future communications systems.' Professor Jon Crowcroft, The Computer Laboratory, University of CambridgeThe Essential Mathematical Principles Required to Design, Implement, or Evaluate Advanced Computer NetworksStudents, researchers, and professionals in computer networking require a firm conceptual understanding of its foundations. Mathematical Foundations of Computer Networking provides an intuitive yet rigorous introduction to these essential mathematical principles and techniques.Assuming a basic grasp of calculus, this book offers sufficient detail to serve as the only reference many readers will need. Each concept is described in four ways: intuitively; using appropriate mathematical notation; with a numerical example carefully chosen for its relevance to networking; and with a numerical exercise for the reader.The first part of the text presents basic concepts, and the second part introduces four theories in a progression that has been designed to gradually deepen readers understanding. Within each part, chapters are as self-contained as possible.The first part covers probability; statistics; linear algebra; optimization; and signals, systems, and transforms. Topics range from Bayesian networks to hypothesis testing, and eigenvalue computation to Fourier transforms.These preliminary chapters establish a basis for the four theories covered in the second part of the book: queueing theory, game theory, control theory, and information theory. The second part also demonstrates how mathematical concepts can be applied to issues such as contention for limited resources, and the optimization of network responsiveness, stability, and throughput. 494 pp. Englisch.

Zustand: New. Print on Demand pp. xviii + 474 Illus.

Taschenbuch. Zustand: Neu. Mathematical Foundations of Computer Networking | Srinivasan Keshav | Taschenbuch | Kartoniert / Broschiert | Englisch | 2024 | Pearson | EAN 9780321792105 | Verantwortliche Person für die EU: Financial Times Prent., St.-Martin-Str. 82, 81541 München, salesde[at]pearson[dot]com | Anbieter: preigu Print on Demand.

Zustand: New. PRINT ON DEMAND pp. xviii + 474.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -"To design future networks that are worthy of society's trust, we must put the 'discipline' of computer networking on a much stronger foundation. This book rises above the considerable minutiae of today's networking technologies to emphasize the long-standing mathematical underpinnings of the field."Professor Jennifer Rexford, Department of Computer Science, Princeton University"This book is exactly the one I have been waiting for the last couple of years. Recently, I decided most students were already very familiar with the way the net works but were not being taught the fundamentalsthe math. This book contains the knowledge for people who will create and understand future communications systems.'Professor Jon Crowcroft, The Computer Laboratory, University of CambridgeThe Essential Mathematical Principles Required to Design, Implement, or Evaluate Advanced Computer NetworksStudents, researchers, and professionals in computer networking require a firm conceptual understanding of its foundations. Mathematical Foundations of Computer Networking provides an intuitive yet rigorous introduction to these essential mathematical principles and techniques.Assuming a basic grasp of calculus, this book offers sufficient detail to serve as the only reference many readers will need. Each concept is described in four ways: intuitively; using appropriate mathematical notation; with a numerical example carefully chosen for its relevance to networking; and with a numerical exercise for the reader.The first part of the text presents basic concepts, and the second part introduces four theories in a progression that has been designed to gradually deepen readers' understanding. Within each part, chapters are as self-contained as possible.The first part covers probability; statistics; linear algebra; optimization; and signals, systems, and transforms. Topics range from Bayesian networks to hypothesis testing, and eigenvalue computation to Fourier transforms.These preliminary chapters establish a basis for the four theories covered in the second part of the book: queueing theory, game theory, control theory, and information theory. The second part also demonstrates how mathematical concepts can be applied to issues such as contention for limited resources, and the optimization of network responsiveness, stability, and throughput.Financial Times Prent., St.-Martin-Straße 82, 81541 München 494 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - To design future networks that are worthy of society s trust, we must put the discipline of computer networking on a much stronger foundation. This book rises above the considerable minutiae of today s networking technologies to emphasize the long-standing mathematical underpinnings of the field. Professor Jennifer Rexford, Department of Computer Science, Princeton University This book is exactly the one I have been waiting for the last couple of years. Recently, I decided most students were already very familiar with the way the net works but were not being taught the fundamentals the math. This book contains the knowledge for people who will create and understand future communications systems.' Professor Jon Crowcroft, The Computer Laboratory, University of CambridgeThe Essential Mathematical Principles Required to Design, Implement, or Evaluate Advanced Computer NetworksStudents, researchers, and professionals in computer networking require a firm conceptual understanding of its foundations. Mathematical Foundations of Computer Networking provides an intuitive yet rigorous introduction to these essential mathematical principles and techniques.Assuming a basic grasp of calculus, this book offers sufficient detail to serve as the only reference many readers will need. Each concept is described in four ways: intuitively; using appropriate mathematical notation; with a numerical example carefully chosen for its relevance to networking; and with a numerical exercise for the reader.The first part of the text presents basic concepts, and the second part introduces four theories in a progression that has been designed to gradually deepen readers understanding. Within each part, chapters are as self-contained as possible.The first part covers probability; statistics; linear algebra; optimization; and signals, systems, and transforms. Topics range from Bayesian networks to hypothesis testing, and eigenvalue computation to Fourier transforms.These preliminary chapters establish a basis for the four theories covered in the second part of the book: queueing theory, game theory, control theory, and information theory. The second part also demonstrates how mathematical concepts can be applied to issues such as contention for limited resources, and the optimization of network responsiveness, stability, and throughput.