A Practical Introduction to Data Structures and Algorithm Analysis
by Clifford A. Shaffer
Publisher: Virginia Tech 2010
Number of pages: 638
A comprehensive treatment of fundamental data structures and algorithm analysis with a focus on how to create efficient data structures and algorithms. Aims to help the reader gain an understanding of how to select or design the data structure that will best solve a particular problem.
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by Catherine Leung - GitBook
This book is a survey of several standard algorithms and data structures. It will also introduce the methodology used to perform a formal analysis of an algorithm so that the reason behind the different implementations can be better understood.
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 Marko Petkovsek, Herbert S. Wilf, Doron Zeilberger - AK Peters, Ltd.
The book shows how some computer algorithms can simplify complex summations and if there is no such simplification they will prove this to be the case. The authors present the underlying mathematical theory, and the principle theorems and proofs.
by Ian Craw, John Pulham - University of Aberdeen
This course studies computer algorithms, their construction, validation and effectiveness. A number of topics will be covered: a general introduction to the subject, the problem of sorting data sets into order, the theory of formal grammars, etc.