"Ask a mechanical, structural, or electrical engineer how far they would get without a heavy reliance on a firm mathematical foundation, and they will tell you, 'not far.' Yet so-called software engineers often practice their art with little or no idea of the mathematical underpinnings of what they are doing. And then we wonder why software is notorious for being delivered late and full of bugs, while other engineers routinely deliver finished bridges, automobiles, electrical appliances, etc., on time and with only minor defects. This book sets out to redress this imbalance. Members of my advanced development team at Adobe who took the course based on the same material all benefited greatly from the time invested. It may appear as a highly technical text intended only for computer scientists, but it should be required reading for all practicing software engineers." -Martin Newell, Adobe Fellow "The book contains some of the most beautiful code I have ever seen." -Bjarne Stroustrup, Designer of C++ "I am happy to see the content of Alex's course, the development and teaching of which I strongly supported as the CTO of Silicon Graphics, now available to all programmers in this elegant little book." -Forest Baskett, General Partner, New Enterprise Associates "Paul's patience and architectural experience helped to organize Alex's mathematical approach into a tightly-structured edifice-an impressive feat!" -Robert W. Taylor, Founder of Xerox PARC CSL and DEC Systems Research Center Elements of Programming provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering,must be based on a solid mathematical foundation. The book shows that algorithms implemented in a real programming language, such as C++, can operate in the most general mathematical setting. For example, the fast exponentiation algorithm is defined to work with any associative operation. Using abstract algorithms leads to efficient, reliable, secure, and economical software. This is not an easy book. Nor is it a compilation of tips and tricks for incremental improvements in your programming skills. The book's value is more fundamental and, ultimately, more critical for insight into programming. To benefit fully, you will need to work through it from beginning to end, reading the code, proving the lemmas, and doing the exercises. When finished, you will see how the application of the deductive method to your programs assures that your system's software components will work together and behave as they must. The book presents a number of algorithms and requirements for types on which they are defined. The code for these descriptions-also available on the Web-is written in a small subset of C++ meant to be accessible to any experienced programmer. This subset is defined in a special language appendix coauthored by Sean Parent and Bjarne Stroustrup. Whether you are a software developer, or any other professional for whom programming is an important activity, or a committed student, you will come to understand what the book's experienced authors have been teaching and demonstrating for years-that mathematics is good for programming, and that theory is good for practice.

*Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.*

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Da: Regno Unito a: U.S.A.

Editore:
Pearson Education (US), United States
(2009)

ISBN 10: 032163537X
ISBN 13: 9780321635372

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**Descrizione libro **Pearson Education (US), United States, 2009. Hardback. Condizione libro: New. 231 x 168 mm. Language: English . Brand New Book. Ask a mechanical, structural, or electrical engineer how far they would get without a heavy reliance on a firm mathematical foundation, and they will tell you, not far. Yet so-called software engineers often practice their art with little or no idea of the mathematical underpinnings of what they are doing. And then we wonder why software is notorious for being delivered late and full of bugs, while other engineers routinely deliver finished bridges, automobiles, electrical appliances, etc., on time and with only minor defects. This book sets out to redress this imbalance. Members of my advanced development team at Adobe who took the course based on the same material all benefited greatly from the time invested. It may appear as a highly technical text intended only for computer scientists, but it should be required reading for all practicing software engineers. -Martin Newell, Adobe Fellow The book contains some of the most beautiful code I have ever seen. -Bjarne Stroustrup, Designer of C++ I am happy to see the content of Alex s course, the development and teaching of which I strongly supported as the CTO of Silicon Graphics, now available to all programmers in this elegant little book. -Forest Baskett, General Partner, New Enterprise Associates Paul s patience and architectural experience helped to organize Alex s mathematical approach into a tightly-structured edifice-an impressive feat! -Robert W. Taylor, Founder of Xerox PARC CSL and DEC Systems Research Center Elements of Programming provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering,must be based on a solid mathematical foundation. The book shows that algorithms implemented in a real programming language, such as C++, can operate in the most general mathematical setting. For example, the fast exponentiation algorithm is defined to work with any associative operation. Using abstract algorithms leads to efficient, reliable, secure, and economical software. This is not an easy book. Nor is it a compilation of tips and tricks for incremental improvements in your programming skills. The book s value is more fundamental and, ultimately, more critical for insight into programming. To benefit fully, you will need to work through it from beginning to end, reading the code, proving the lemmas, and doing the exercises. When finished, you will see how the application of the deductive method to your programs assures that your system s software components will work together and behave as they must. The book presents a number of algorithms and requirements for types on which they are defined. The code for these descriptions-also available on the Web-is written in a small subset of C++ meant to be accessible to any experienced programmer. This subset is defined in a special language appendix coauthored by Sean Parent and Bjarne Stroustrup. Whether you are a software developer, or any other professional for whom programming is an important activity, or a committed student, you will come to understand what the book s experienced authors have been teaching and demonstrating for years-that mathematics is good for programming, and that theory is good for practice. Codice libro della libreria AAK9780321635372

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**Descrizione libro **Pearson Education (US). Hardback. Condizione libro: new. BRAND NEW, Elements of Programming, Alexander A. Stepanov, Paul McJones, "Ask a mechanical, structural, or electrical engineer how far they would get without a heavy reliance on a firm mathematical foundation, and they will tell you, 'not far.' Yet so-called software engineers often practice their art with little or no idea of the mathematical underpinnings of what they are doing. And then we wonder why software is notorious for being delivered late and full of bugs, while other engineers routinely deliver finished bridges, automobiles, electrical appliances, etc., on time and with only minor defects. This book sets out to redress this imbalance. Members of my advanced development team at Adobe who took the course based on the same material all benefited greatly from the time invested. It may appear as a highly technical text intended only for computer scientists, but it should be required reading for all practicing software engineers." -Martin Newell, Adobe Fellow "The book contains some of the most beautiful code I have ever seen." -Bjarne Stroustrup, Designer of C++ "I am happy to see the content of Alex's course, the development and teaching of which I strongly supported as the CTO of Silicon Graphics, now available to all programmers in this elegant little book." -Forest Baskett, General Partner, New Enterprise Associates "Paul's patience and architectural experience helped to organize Alex's mathematical approach into a tightly-structured edifice-an impressive feat!" -Robert W. Taylor, Founder of Xerox PARC CSL and DEC Systems Research Center Elements of Programming provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering,must be based on a solid mathematical foundation. The book shows that algorithms implemented in a real programming language, such as C++, can operate in the most general mathematical setting. For example, the fast exponentiation algorithm is defined to work with any associative operation. Using abstract algorithms leads to efficient, reliable, secure, and economical software. This is not an easy book. Nor is it a compilation of tips and tricks for incremental improvements in your programming skills. The book's value is more fundamental and, ultimately, more critical for insight into programming. To benefit fully, you will need to work through it from beginning to end, reading the code, proving the lemmas, and doing the exercises. When finished, you will see how the application of the deductive method to your programs assures that your system's software components will work together and behave as they must. The book presents a number of algorithms and requirements for types on which they are defined. The code for these descriptions-also available on the Web-is written in a small subset of C++ meant to be accessible to any experienced programmer. This subset is defined in a special language appendix coauthored by Sean Parent and Bjarne Stroustrup. Whether you are a software developer, or any other professional for whom programming is an important activity, or a committed student, you will come to understand what the book's experienced authors have been teaching and demonstrating for years-that mathematics is good for programming, and that theory is good for practice. Codice libro della libreria B9780321635372

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Editore:
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**Descrizione libro **Pearson Education (US), United States, 2009. Hardback. Condizione libro: New. 231 x 168 mm. Language: English . Brand New Book. Ask a mechanical, structural, or electrical engineer how far they would get without a heavy reliance on a firm mathematical foundation, and they will tell you, not far. Yet so-called software engineers often practice their art with little or no idea of the mathematical underpinnings of what they are doing. And then we wonder why software is notorious for being delivered late and full of bugs, while other engineers routinely deliver finished bridges, automobiles, electrical appliances, etc., on time and with only minor defects. This book sets out to redress this imbalance. Members of my advanced development team at Adobe who took the course based on the same material all benefited greatly from the time invested. It may appear as a highly technical text intended only for computer scientists, but it should be required reading for all practicing software engineers. -Martin Newell, Adobe Fellow The book contains some of the most beautiful code I have ever seen. -Bjarne Stroustrup, Designer of C++ I am happy to see the content of Alex s course, the development and teaching of which I strongly supported as the CTO of Silicon Graphics, now available to all programmers in this elegant little book. -Forest Baskett, General Partner, New Enterprise Associates Paul s patience and architectural experience helped to organize Alex s mathematical approach into a tightly-structured edifice-an impressive feat! -Robert W. Taylor, Founder of Xerox PARC CSL and DEC Systems Research Center Elements of Programming provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering,must be based on a solid mathematical foundation. The book shows that algorithms implemented in a real programming language, such as C++, can operate in the most general mathematical setting. For example, the fast exponentiation algorithm is defined to work with any associative operation. Using abstract algorithms leads to efficient, reliable, secure, and economical software. This is not an easy book. Nor is it a compilation of tips and tricks for incremental improvements in your programming skills. The book s value is more fundamental and, ultimately, more critical for insight into programming. To benefit fully, you will need to work through it from beginning to end, reading the code, proving the lemmas, and doing the exercises. When finished, you will see how the application of the deductive method to your programs assures that your system s software components will work together and behave as they must. The book presents a number of algorithms and requirements for types on which they are defined. The code for these descriptions-also available on the Web-is written in a small subset of C++ meant to be accessible to any experienced programmer. This subset is defined in a special language appendix coauthored by Sean Parent and Bjarne Stroustrup. Whether you are a software developer, or any other professional for whom programming is an important activity, or a committed student, you will come to understand what the book s experienced authors have been teaching and demonstrating for years-that mathematics is good for programming, and that theory is good for practice. Codice libro della libreria AAK9780321635372

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Editore:
Addison-Wesley Professional
(2009)

ISBN 10: 032163537X
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**Descrizione libro **Addison-Wesley Professional, 2009. Condizione libro: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: Preface: Mathematics of practical programming Acknowledgments 1. Foundations 2. Transformations and their orbits 3. Associative operations 4. Linear orderings 5. Ordered algebraic structures 6. Iterators 7. Coordinate structures 8. Coordinates with mutable successors 9. Copying algorithms 10. Rearrangement 11. Sorting 12. Composite objects 13. Conclusions: The future Appendix 1. Mathematical notation Appendix 2. C++ machinery. Codice libro della libreria ABE_book_new_032163537X

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Prentice Hall
(2009)

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**Descrizione libro **Prentice Hall, 2009. HRD. Condizione libro: New. New Book. Shipped from UK within 10 to 14 business days. Established seller since 2000. Codice libro della libreria PJ-9780321635372

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**Descrizione libro **Condizione libro: New. Codice libro della libreria 6118821-n

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**Descrizione libro **Addison-Wesley Professional, U.S.A., 2009. Hardcover. Condizione libro: New. 1st Edition. New. Codice libro della libreria 0047338

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**Descrizione libro **Hardback. Condizione libro: New. Not Signed; Ask a mechanical, structural, or electrical engineer how far they would get without a heavy reliance on a firm mathematical foundation, and they will tell you, 'not far.' Yet so-called software engineers often practice their art with little or no idea of the mathematical underpinnings of what they are doing. And then we wonder why software is notorious for being delivered late and full of bugs, while other engineers routinely deliver finished bridges, automobiles, electrical appliances, etc., on time and with only minor defects. This book sets out to redress this imbalance. Members of my advanced development team at Adobe who took the course based on the same material all benefited greatly from the time invested. It may appear as a highly technical text intended only for computer scientists, but it should be required reading for all practicing software engineers. -Martin Newell, Adobe Fellow The book contains some of the most beautiful code I have ever seen. -Bjarne Stroustrup, Designer of C++ I am happy to see the content of Alex's course, the development and teaching of which I strongly supported as the CTO of Silicon Graphics, now available to all programmers in this elegant little book. -Forest Baskett, General Partner, New Enterprise Associates Paul's patience and architectural experience helped to organize Alex's mathematical approach into a tightly-structured edifice-an impressive feat! -Robert W. Taylor, Founder of Xerox PARC CSL and DEC Systems Research Center Elements of Programming provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering,must be based on a solid mathematical foundation. The book shows that algorithms implemented in a real programming language, such as C++, can operate in the most general mathematical setting. For example, the fast exponentiation algorithm is defined to work with any associative operation. Using abstract algorithms leads to efficient, reliable, secure, and economical software. This is not an easy book. Nor is it a compilation of tips and tricks for incremental improvements in your programming skills. The book's value is more fundamental and, ultimately, more critical for insight into programming. To benefit fully, you will need to work through it from beginning to end, reading the code, proving the lemmas, and doing the exercises. When finished, you will see how the application of the deductive method to your programs assures that your system's software components will work together and behave as they must. The book presents a number of algorithms and requirements for types on which they are defined. The code for these descriptions-also available on the Web-is written in a small subset of C++ meant to be accessible to any experienced programmer. This subset is defined in a special language appendix coauthored by Sean Parent and Bjarne Stroustrup. Whether you are a software developer, or any other professional for whom programming is an important activity, or a committed student, you will come to understand what the book's experienced authors have been teaching and demonstrating for years-that mathematics is good for programming, and that theory is good for practice. book. Codice libro della libreria ria9780321635372_rkm

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Editore:
Pearson Education (US) 2009-06-09, New Jersey
(2009)

ISBN 10: 032163537X
ISBN 13: 9780321635372

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**Descrizione libro **Pearson Education (US) 2009-06-09, New Jersey, 2009. hardback. Condizione libro: New. Codice libro della libreria 9780321635372

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**Descrizione libro **Pearson Education (US). Condizione libro: New. 2009. 1st Edition. Hardcover. A truly foundational book on the discipline of generic programming reveals how to write better software by mastering the development of abstract components. The authors show programmers how to use mathematics to compose reliable algorithms from components, and to design effective interfaces between algorithms and data structures. Num Pages: 288 pages, Illustrations. BIC Classification: UM. Category: (P) Professional & Vocational. Dimension: 239 x 172 x 19. Weight in Grams: 572. . . . . . . Codice libro della libreria V9780321635372

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