Data Structures and Algorithms
by John Morris
This course will focus on data structures and algorithms for manipulating them. Data structures for storing information in tables, lists, trees, queues and stacks will be covered. Some basic graph and discrete transform algorithms will also be discussed.
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by Anil K. Jain, Richard C. Dubes - Prentice Hall
The book is useful for scientists who gather data and seek tools for analyzing and interpreting data. It will be a reference for scientists in a variety of disciplines and can serve as a textbook for a graduate course in exploratory data analysis.
by Guy Blelloch - The MIT Press
Vector Models for Data-Parallel Computing describes a model of parallelism that extends and formalizes the Data-Parallel model on which the Connection Machine and other supercomputers are based. It presents many algorithms based on the model.
by Brad Miller, David Ranum - Franklin, Beedle & Associates
This textbook is designed as a text for a first course on data structures and algorithms, taught as the second course in the computer science curriculum. We cover abstract data types and data structures, writing algorithms, and solving problems.
by Solomon I. Khmelnik - MiC
This book describes various processors, designed for affine transformations of many-dimensional figures -- planar and spatial. Designed for students, engineers and developers, who intend to use the computer arithmetic of geometrical figures.