From Mathematics to Generic Programming

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9780321942043: From Mathematics to Generic Programming
From the Publisher:

In this substantive yet accessible book, pioneering software designer Alexander Stepanov and his colleague Daniel Rose illuminate the principles of generic programming and the mathematical concept of abstraction on which it is based, helping you write code that is both simpler and more powerful. If you're a reasonably proficient programmer who can think logically, you have all the background you'll need. Stepanov and Rose introduce the relevant abstract algebra and number theory with exceptional clarity. They carefully explain the problems mathematicians first needed to solve, and then show how these mathematical solutions translate to generic programming and the creation of more effective and elegant code. To demonstrate the crucial role these mathematical principles play in many modern applications, the authors show how to use these results and generalized algorithms to implement a real-world public-key cryptosystem. As you read this book, you'll master the thought processes necessary for effective programming and learn how to generalize narrowly conceived algorithms to widen their usefulness without losing efficiency. You'll also gain deep insight into the value of mathematics to programming-insight that will prove invaluable no matter what programming languages and paradigms you use. You will learn about * How to generalize a four thousand-year-old algorithm, demonstrating indispensable lessons about clarity and efficiency * Ancient paradoxes, beautiful theorems, and the productive tension between continuous and discrete * A simple algorithm for finding greatest common divisor (GCD) and modern abstractions that build on it * Powerful mathematical approaches to abstraction * How abstract algebra provides the idea at the heart of generic programming * Axioms, proofs, theories, and models: using mathematical techniques to organize knowledge about your algorithms and data structures * Surprising subtleties of simple programming tasks and what you can learn from them * How practical implementations can exploit theoretical knowledge Alexander A. Stepanov has been programming since 1972-first in the Soviet Union and, since emigrating in 1977, in the United States. He has programmed operating systems, programming tools, compilers, and libraries. His work on the foundations of programming has been supported by GE, Polytechnic University, Bell Labs, HP, SGI, Adobe, and, since 2009, A9.com, Amazon's search subsidiary. In 1995, he received the Dr. Dobb's Journal Excellence in Programming Award for the design of the C++ Standard Template Library. Daniel E. Rose is a research scientist who has held management positions at Apple, AltaVista, Xigo, Yahoo, and A9.com. His research focuses on all aspects of search, ranging from low-level algorithms for index compression to human-computer interaction. Rose led the Apple team that created desktop search for the Mac. He holds a Ph.D. in cognitive science and computer science from the University of California, San Diego, and a B.A. in philosophy from Harvard.

From the Publisher:

In their new book From Mathematics to Generic Programming, C++ STL creator Alexander Stepanov and Information Retrieval researcher Daniel Rose show how programmers can become more effective by learning about the idea of abstraction and the math it relies on. In an engaging and accessible fashion, they describe how these mathematical results were first discovered and are surprisingly useful in programming. Aimed at a wider audience than the classic Elements of Programming by Stepanov and McJones, From Mathematics to Generic Programming takes a less formal approach, interleaving discussions of programming, mathematical results, and stories of the people who made these discoveries throughout history. The authors trace the development of common algorithms from ancient times to the present, and show how to generalize them to new applications - even to the secure protocols of modern Internet commerce. From Mathematics to Generic Programming is a great introduction to the core principles of generic programming for the professional programmer. The authors work through examples showing how to analyze the requirements of an algorithm and make it as general as possible. The book includes several programming "laws" of particular interest to those building software components.

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Stepanov, Alexander A.; Rose, Daniel E.
ISBN 10: 0321942043 ISBN 13: 9780321942043
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Stepanov, Alexander A.; Rose, Daniel E.
Editorial: Pearson Education (US), United States (2014)
ISBN 10: 0321942043 ISBN 13: 9780321942043
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Descripción Pearson Education (US), United States, 2014. Paperback. Estado de conservación: New. 226 x 152 mm. Language: English . Brand New Book. In this substantive yet accessible book, pioneering software designer Alexander Stepanov and his colleague Daniel Rose illuminate the principles of generic programming and the mathematical concept of abstraction on which it is based, helping you write code that is both simpler and more powerful. If you re a reasonably proficient programmer who can think logically, you have all the background you ll need. Stepanov and Rose introduce the relevant abstract algebra and number theory with exceptional clarity. They carefully explain the problems mathematicians first needed to solve, and then show how these mathematical solutions translate to generic programming and the creation of more effective and elegant code. To demonstrate the crucial role these mathematical principles play in many modern applications, the authors show how to use these results and generalized algorithms to implement a real-world public-key cryptosystem. As you read this book, you ll master the thought processes necessary for effective programming and learn how to generalize narrowly conceived algorithms to widen their usefulness without losing efficiency. You ll also gain deep insight into the value of mathematics to programming-insight that will prove invaluable no matter what programming languages and paradigms you use. You will learn about * How to generalize a four thousand-year-old algorithm, demonstrating indispensable lessons about clarity and efficiency * Ancient paradoxes, beautiful theorems, and the productive tension between continuous and discrete * A simple algorithm for finding greatest common divisor (GCD) and modern abstractions that build on it * Powerful mathematical approaches to abstraction * How abstract algebra provides the idea at the heart of generic programming * Axioms, proofs, theories, and models: using mathematical techniques to organize knowledge about your algorithms and data structures * Surprising subtleties of simple programming tasks and what you can learn from them * How practical implementations can exploit theoretical knowledge. Nº de ref. de la librería AAB9780321942043

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Stepanov, Alexander A.; Rose, Daniel E.
Editorial: Pearson Education (US), United States (2014)
ISBN 10: 0321942043 ISBN 13: 9780321942043
Nuevos Paperback Cantidad: 1
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The Book Depository
(London, Reino Unido)
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Descripción Pearson Education (US), United States, 2014. Paperback. Estado de conservación: New. 226 x 152 mm. Language: English . Brand New Book. In this substantive yet accessible book, pioneering software designer Alexander Stepanov and his colleague Daniel Rose illuminate the principles of generic programming and the mathematical concept of abstraction on which it is based, helping you write code that is both simpler and more powerful. If you re a reasonably proficient programmer who can think logically, you have all the background you ll need. Stepanov and Rose introduce the relevant abstract algebra and number theory with exceptional clarity. They carefully explain the problems mathematicians first needed to solve, and then show how these mathematical solutions translate to generic programming and the creation of more effective and elegant code. To demonstrate the crucial role these mathematical principles play in many modern applications, the authors show how to use these results and generalized algorithms to implement a real-world public-key cryptosystem. As you read this book, you ll master the thought processes necessary for effective programming and learn how to generalize narrowly conceived algorithms to widen their usefulness without losing efficiency. You ll also gain deep insight into the value of mathematics to programming-insight that will prove invaluable no matter what programming languages and paradigms you use. You will learn about * How to generalize a four thousand-year-old algorithm, demonstrating indispensable lessons about clarity and efficiency * Ancient paradoxes, beautiful theorems, and the productive tension between continuous and discrete * A simple algorithm for finding greatest common divisor (GCD) and modern abstractions that build on it * Powerful mathematical approaches to abstraction * How abstract algebra provides the idea at the heart of generic programming * Axioms, proofs, theories, and models: using mathematical techniques to organize knowledge about your algorithms and data structures * Surprising subtleties of simple programming tasks and what you can learn from them * How practical implementations can exploit theoretical knowledge. Nº de ref. de la librería AAB9780321942043

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Stepanov, Alexander A.; Rose, Daniel E.
Editorial: Addison-Wesley Professional (2014)
ISBN 10: 0321942043 ISBN 13: 9780321942043
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Descripción Addison-Wesley Professional, 2014. Estado de conservación: New. Num Pages: 320 pages, illustrations. BIC Classification: UMB. Category: (P) Professional & Vocational. Dimension: 227 x 155 x 17. Weight in Grams: 430. . 2014. 1st Edition. Paperback. . . . . . Nº de ref. de la librería V9780321942043

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Stepanov, Alexander A.; Rose, Daniel E.
Editorial: Pearson Education (US) 2014-11-07, New Jersey (2014)
ISBN 10: 0321942043 ISBN 13: 9780321942043
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Descripción Pearson Education (US) 2014-11-07, New Jersey, 2014. paperback. Estado de conservación: New. Nº de ref. de la librería 9780321942043

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Stepanov, Alexander A.; Rose, Daniel E.
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Descripción Addison-Wesley Professional. Estado de conservación: New. Num Pages: 320 pages, illustrations. BIC Classification: UMB. Category: (P) Professional & Vocational. Dimension: 227 x 155 x 17. Weight in Grams: 430. . 2014. 1st Edition. Paperback. . . . . Books ship from the US and Ireland. Nº de ref. de la librería V9780321942043

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Stepanov, Alexander A.; Rose, Daniel E.
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Descripción Prentice Hall, 2014. PAP. Estado de conservación: New. New Book. Shipped from UK within 10 to 14 business days. Established seller since 2000. Nº de ref. de la librería PJ-9780321942043

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Stepanov, Alexander A.; Rose, Daniel E.
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Descripción Addison-Wesley Professional, 2014. Paperback. Estado de conservación: New. book. Nº de ref. de la librería 0321942043

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