Authors:
Functional programming languages make it easier to identify and abstract out general patterns of interaction among functions
Presents the algorithms in a purely functional version of the Scheme programming language, available on the author's website
Suitable for undergraduate- and graduate-level courses on programming techniques
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
This book presents a variety of widely used algorithms, expressing them in a pure functional programming language to make their structure and operation clearer to readers. In the opening chapter the author introduces the specific notations that constitute the variant of Scheme that he uses. The second chapter introduces many of the simpler and more general patterns available in functional programming. The chapters that follow introduce and explain data structures, sorting, combinatorial constructions, graphs, and sublist search.
Throughout the book the author presents the algorithms in a purely functional version of the Scheme programming language, which he makes available on his website. The book is supported with exercises, and it is suitable for undergraduate and graduate courses on programming techniques.
Authors and Affiliations
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Department of Computer Science, Grinnell College, Grinnell, USA
John David Stone
About the author
John David Stone is a Senior Lecturer in the Department of Computer Science in Grinnell College, Iowa, where he teaches algorithms, computer security, and computational linguistics. His research interests include logic and the foundations of programming.
Bibliographic Information
Book Title: Algorithms for Functional Programming
Authors: John David Stone
DOI: https://doi.org/10.1007/978-3-662-57970-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2018
Hardcover ISBN: 978-3-662-57968-8Published: 07 November 2018
Softcover ISBN: 978-3-662-58609-9Published: 26 January 2019
eBook ISBN: 978-3-662-57970-1Published: 27 October 2018
Edition Number: 1
Number of Pages: XV, 389
Topics: Programming Techniques, Algorithm Analysis and Problem Complexity