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How to Think about Algorithms~tqw~ darksiderg

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Name:How to Think about Algorithms~tqw~ darksiderg

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How to Think about Algorithms
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General Information
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Type.................: Ebook
Part Size............: 6,335,274 bytes

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Post Information
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Posted by............: ~tqw~

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Release Notes
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There are many algorithm texts that provide lots of well-polished code and
proofs of correctness. This book is not one of them. Instead, this book presents
insights, notations, and analogies to help the novice describe and think about
algorithms like an expert. By looking at both the big picture and easy step-by-
step methods for developing algorithms, the author helps students avoid the
common pitfalls. He stresses paradigms such as loop invariants and recursion to
unify a huge range of algorithms into a few meta-algorithms. Part of the goal is
to teach the students to think abstractly. Without getting bogged with formal
proofs, the book fosters a deeper understanding of how and why each algorithm
works. These insights are presented in a slow and clear manner accessible to
second- or third-year students of computer science, preparing them to find their
own innovative ways to solve problems.

Table Of Contents

Part I. Iterative Algorithms and Loop Invariants:
1. Measures of progress and loop invariants;
2. Examples using more of the input loop invariant;
3. Abstract data types;
4. Narrowing the search space: binary search;
5. Iterative sorting algorithms;
6. Euclid’s GCD algorithm;
7. The loop invariant for lower bounds;
Part II. Recursion:
8. Abstractions, techniques, and theory;
9. Some simple examples of recursive algorithms;
10. Recursion on trees;
11. Recursive images;
12. Parsing with context-free grammars;
Part III. Optimization Problems:
13. Definition of optimization problems;
14. Graph search algorithms;
15. Network flows and linear programming;
16. Greedy algorithms;
17. Recursive backtracking;
18. Dynamic programming algorithms;
19. Examples of dynamic programming;
20. Reductions and NP-completeness;
21. Randomized algorithms;
Part IV. Appendix:
22. Existential and universal quantifiers;
23. Time complexity;
24. Logarithms and exponentials;
25. Asymptotic growth;
26. Adding made easy approximations;
27. Recurrence relations;
28. A formal proof of correctness;
Part V. Exercise Solutions.

Product Details

* ISBN: 0521614104
* ISBN-13: 9780521614108
* Format: Paperback, 472pp
* Publisher: Cambridge University Press
* Pub. Date: May 2008

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