by Ian Craw, John Pulham
Publisher: University of Aberdeen 1999
Number of pages: 120
This course studies computer algorithms, considering their construction, validation and effectiveness. After a general introduction to the subject a number of specific topics will be covered: the problem of sorting data sets into order, the theory of formal grammars and problems such as the parsing of arithmetic expressions, the construction and use of pseudorandom numbers.
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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 Larry LIU Xinyu - Github
'Elementary Algorithms' is a free book about elementary algorithms and data structures. This book doesn't only focus on an imperative (or procedural) approach, but also includes purely functional algorithms and data structures.
by David M. Mount - University of Maryland
The focus is on how to design good algorithms, and how to analyze their efficiency. The text covers some preliminary material, optimization algorithms, graph algorithms, minimum spanning trees, shortest paths, network flows and computational geometry.
by Allen B. Downey - Green Tea Press
This book is intended for college students in computer science and related fields. The book also presents basic aspects of software engineering practice, including version control and unit testing. Each chapter ends with an exercises.