How to Think About Algorithms / by Jeff Edmonds. [Electronic Resource]
Material type: Computer filePublication details: Cambridge : Cambridge University Press, 2008Description: xiv, 448pISBN:- 9780511808241
- 518.1Â Ed57H
Item type | Home library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|---|
e-Book | S. R. Ranganathan Learning Hub Online | Textbook | 518.1 Ed57H (Browse shelf(Opens below)) | Available (e-Book For Access) | Platform : Cambridge Core | EB0383 |
Browsing S. R. Ranganathan Learning Hub shelves, Shelving location: Online, Collection: Textbook Close shelf browser (Hides shelf browser)
517.38 Sn21E Elements of Partial Differential Equations | 518.02462 G959N Numerical Methods for Engineers | 518.1 Ab51A The Age of Algorithms | 518.1 Ed57H How to Think About Algorithms | 518.5 W676D The Design of Approximation Algorithms | 518.64 L269A Advanced Topics in Computational Partial Differential Equations : Numerical Methods and Diffpack Programming | 518.64 M846N Numerical Solution of Partial Differential Equations : An Introduction |
This textbook, for second- or third-year students of computer science, presents insights, notations, and analogies to help them describe and think about algorithms like an expert, without grinding through lots of formal proof. Solutions to many problems are provided to let students check their progress, while class-tested PowerPoint slides are on the web for anyone running the course. By looking at both the big picture and easy step-by-step methods for developing algorithms, the author guides students around the common pitfalls. He stresses paradigms such as loop invariants and recursion to unify a huge range of algorithms into a few meta-algorithms. The book fosters a deeper understanding of how and why each algorithm works. These insights are presented in a careful and clear way, helping students to think abstractly and preparing them for creating their own innovative ways to solve problems.
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