Algorithms for Clustering Data
by Anil K. Jain, Richard C. Dubes
Publisher: Prentice Hall 1988
Number of pages: 334
This book will be useful for those in the scientific community who gather data and seek tools for analyzing and interpreting data. It will be a valuable reference for scientists in a variety of disciplines and can serve as a textbook for a graduate course in exploratory data analysis.
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by Herbert S. Wilf - AK Peters, Ltd.
An introductory textbook on the design and analysis of algorithms. Recursive algorithms are illustrated by Quicksort, FFT, and fast matrix multiplications. Algorithms in number theory are discussed with some applications to public key encryption.
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 John Morris
The text focuses on data structures and algorithms for manipulating them. Data structures for storing information in tables, lists, trees, queues and stacks are covered. Some basic graph and discrete transform algorithms are also discussed.
by Richard P. Brent, Paul Zimmermann - LORIA
This book collects in the same document all state-of-the-art algorithms in multiple precision arithmetic (integers, integers modulo n, floating-point numbers). The book will be useful for graduate students in computer science and mathematics.