The best selling 'Algorithmics' presents the most important, concepts, methods and results that are fundamental to the science of computing. It starts by introducing the basic ideas of algorithms, including their structures and methods of data manipulation. It then goes on to demonstrate how to design accurate and efficient algorithms, and discusses their inherent limitations. As the author himself says in the preface to the book; 'This book attempts to present a readable account of some of the most important and basic topics of computer science, stressing the fundamental and robust nature of the science in a form that is virtually independent of the details of specific computers, languages and formalisms'.
Preface Acknowledgments PART I. PRELIMINARIES 1. Introduction And Historical Review or, What's It All About? 2. Algorithms And Data or, Getting It Done 3. Programming Languages and Paradigms or, Getting It Done by Computer PART II. METHODS AND ANALYSIS 4. Algorithmic Methods or, Getting It Done Methodically 5. The Correctness of Algorithms or, Getting It Done Right 6. The Efficiency of Algorithms or, Getting It Done Cheaply PART III. LIMITATIONS AND ROBUSTNESS 7. Inefficiency and Intractability or, You Can't Always Get It Done Cheaply 8. Noncomputability and Undecidability or, Sometimes You Can't Get It Done At All! 9. Algorithmic Universality and Its Robustness or, The Simplest Machines That Get It Done PART IV. RELAXING THE RULES 10. Parallelism, Concurrency and Alternative Models or, Getting Lots Of Stuff Done at Once 11. Probabilistic Algorithms or, Getting It Done by Tossing Coins 12. Cryptography and Reliable Interaction or, Getting It Done in Secret PART V. THE BIGGER PICTURE 13. Software Engineering or, Getting It Done When It's Large 14. Reactive Systems or, Getting It to Behave Properly Over Time 15. Algorithmics And Intelligence or, Are They Better at It Than Us? Postscript Selected Solutions Bibliographic Notes Index
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- ID: 9780321117847
3rd Revised edition
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