Problem Solving with Algorithms and Data Structures Using Python
by Brad Miller, David Ranum
Publisher: Franklin, Beedle & Associates 2011
Number of pages: 438
This textbook is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum. We cover abstract data types and data structures, writing algorithms, and solving problems.
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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.
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 Nashat Mansour - InTech
This book demonstrates the applicability of search algorithms for the purpose of developing solutions to problems that arise in a variety of domains. It is targeted to a wide group of readers: researchers, graduate students, and practitioners.
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.