Data Structures and Algorithms: Annotated Reference with Examples
by Granville Barnett, Luca Del Tongo
Publisher: DotNetSlackers 2008
Number of pages: 112
This book provides implementations of common and uncommon algorithms in pseudocode which is language independent and provides for easy porting to most imperative programming languages. We assume that the reader is familiar with the following: (1) Big Oh notation; (2) An imperative programming language; (3) Object oriented concepts.
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by Robert Sedgewick, Kevin Wayne - Addison-Wesley Professional
This textbook surveys the most important algorithms and data structures in use today. Applications to science, engineering, and industry are a key feature of the text. We motivate each algorithm by examining its impact on specific applications.
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This text is a course in mathematical algorithms, intended for second year mathematics students. It introduces the algorithms for computing with integers, polynomials and vector spaces. The course requires no computing experience.
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