by Robert Sedgewick, Kevin Wayne
Publisher: Addison-Wesley Professional 2011
Number of pages: 976
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 that we address by examining its impact on specific applications.
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by Jeff Erickson - University of Illinois at Urbana-Champaign
These are lecture notes, homework questions, and exam questions from algorithms courses the author taught at the University of Illinois. It is assumed that the reader has mastered the material covered in the first 2 years of a typical CS curriculum.
by Jianer Chen
The author concentrates on four themes in computational geometry: the construction of convex hulls, proximity problems, searching problems and intersection problems. Solving manufacturing problems requires application of fast-algorithm techniques.
by Herbert Edelsbrunner - Duke University
The main topics to be covered in this course are: Design Techniques; Searching; Prioritizing; Graph Algorithms; Topological Algorithms; Geometric Algorithms; NP-completeness. The emphasis will be on algorithm design and on algorithm analysis.
by K. Raghava Rao - Smashwords
This book provides a complete information to the modern study of computer algorithms. It presents many concepts in a considerable depth, so that it can be understand by all levels of readers. Each and every concept is explained by suitable examples.