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ISBN 10: 0321942043 ISBN 13: 9780321942043
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Published by Addison-Wesley Professional (edition 1), 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
Language: English
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Published by Addison-Wesley Professional, 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
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ISBN 10: 0321942043 ISBN 13: 9780321942043
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Published by Addison-Wesley Professional, 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
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Published by Addison-Wesley Professional, 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
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Published by Addison-Wesley Professional, 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
Language: English
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Published by Addison Wesley Professional, 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
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Published by Addison-Wesley Professional, 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
Language: English
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Published by Addison-Wesley Professional, 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
Language: English
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Published by Addison-Wesley Professional, 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
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Published by Addison-Wesley Professional 11/17/2014, 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
Language: English
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Paperback or Softback. Condition: New. From Mathematics to Generic Programming 0.9. Book.
Published by Addison-Wesley Professional, 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
Language: English
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Published by Pearson Education (US), New Jersey, 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
Language: English
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Paperback. Condition: new. Paperback. 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 youre a reasonably proficient programmer who can think logically, you have all the background youll 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, youll master the thought processes necessary for effective programming and learn how to generalize narrowly conceived algorithms to widen their usefulness without losing efficiency. Youll also gain deep insight into the value of mathematics to programminginsight 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 Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Addison-Wesley Professional, 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
Language: English
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Published by Pearson Education (US), 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
Language: English
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Paperback. Condition: New. 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.
Published by Addison-Wesley Professional, 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
Language: English
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Published by Pearson Education (US), 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
Language: English
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Add to basketPaperback. Condition: New. 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.
Published by Addison-Wesley Professional, 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
Language: English
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Add to basketPaperback. Condition: Brand New. 1st edition. 320 pages. 9.00x6.00x1.00 inches. In Stock.
Published by Addison-Wesley Professional, 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
Language: English
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Published by Addison-Wesley Professional, 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
Language: English
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Published by Addison-Wesley Professional, 2014
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Published by Addison-Wesley Professional, 2014
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Language: English
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Published by Pearson Education (US), 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
Language: English
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Published by Pearson Education (US), New Jersey, 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
Language: English
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Add to basketPaperback. Condition: new. Paperback. 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 youre a reasonably proficient programmer who can think logically, you have all the background youll 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, youll master the thought processes necessary for effective programming and learn how to generalize narrowly conceived algorithms to widen their usefulness without losing efficiency. Youll also gain deep insight into the value of mathematics to programminginsight 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 Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Pearson Education (US), 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
Language: English
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Add to basketPaperback. Condition: New. 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.
Published by Pearson Education (US), 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
Language: English
Seller: Rarewaves.com UK, London, United Kingdom
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Add to basketPaperback. Condition: New. 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.
Published by Addison-Wesley Professional, 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
Language: English
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Published by Pearson International, 2014
ISBN 10: 0321942043 ISBN 13: 9780321942043
Language: English
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This bookis a great introduction to the core principles of generic programming for the experienced 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. The authors 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.