From Mathematics to Generic Programming

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9780321942043: From Mathematics to Generic Programming

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

 

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About the Author:

Alexander A. Stepanov studied mathematics at Moscow State University from 1967 to 1972. He has been programming since 1972: first in the Soviet Union and, after emigrating in 1977, in the United States. He has programmed operating systems, programming tools, compilers, and libraries. His work on foundations of programming has been supported by GE, Polytechnic University, Bell Labs, HP, SGI, Adobe, and, since 2009, A9.com, Amazon’s search technology 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 technology, ranging from low-level algorithms for index compression to human–computer interaction issues in web search. Rose led the team at Apple that created desktop search for the Macintosh. He holds a Ph.D. in cognitive science and computer science from University of California, San Diego, and a B.A. in philosophy from Harvard University.

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1.

Alexander A. Stepanov, Daniel E. Rose
Editorial: Pearson Education (US), United States (2014)
ISBN 10: 0321942043 ISBN 13: 9780321942043
Nuevos Paperback Cantidad: 10
Librería
The Book Depository
(London, Reino Unido)
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Descripción Pearson Education (US), United States, 2014. Paperback. Estado de conservación: New. 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 AAU9780321942043

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Stepanov, Alexander; Daniel Rose, Daniel Rose
ISBN 10: 0321942043 ISBN 13: 9780321942043
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Alexander A. Stepanov, Daniel E. Rose
Editorial: Pearson Education (US), United States (2014)
ISBN 10: 0321942043 ISBN 13: 9780321942043
Nuevos Paperback Cantidad: 10
Librería
The Book Depository US
(London, Reino Unido)
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[?]

Descripción Pearson Education (US), United States, 2014. Paperback. Estado de conservación: New. 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 AAU9780321942043

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Stepanov, Alexander^Rose, Daniel
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Descripción Prentice Hall. Estado de conservación: New. Brand New. Nº de ref. de la librería 0321942043

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Alexander A. Stepanov
Editorial: Addison Wesley
ISBN 10: 0321942043 ISBN 13: 9780321942043
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Descripción Addison Wesley. Paperback. Estado de conservación: New. New copy - Usually dispatched within 2 working days. Nº de ref. de la librería B9780321942043

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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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Alexander A. Stepanov, Daniel E. Rose
Editorial: Pearson Education 2014-11-20, Upper Saddle River, NJ (2014)
ISBN 10: 0321942043 ISBN 13: 9780321942043
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Descripción Pearson Education 2014-11-20, Upper Saddle River, NJ, 2014. paperback. Estado de conservación: New. Nº de ref. de la librería 9780321942043

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Alexander Stepanov
Editorial: Addison-Wesley Professional (2011)
ISBN 10: 0321942043 ISBN 13: 9780321942043
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Descripción Addison-Wesley Professional, 2011. Estado de conservación: New. book. Nº de ref. de la librería ria9780321942043_rkm

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Stepanov, Alexander A., Rose, Daniel E.
Editorial: Addison-Wesley Professional
ISBN 10: 0321942043 ISBN 13: 9780321942043
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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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Alexander A. Stepanov, Daniel E. Rose
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. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. 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 BZV9780321942043

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