Algorithmics: The Spirit of Computing

by David Harel

This book presents the concepts, methods, and results that are fundamental to the science of computing. The book begins with the basic ideas of algorithms such as the structure and the methods of data manipulation, and then moves on to demonstrate how to design an accurate and efficient algorithm. Inherent limitations to algorithmic design are also discussed throughout the second part of the text. The third edition features an introduction to the object-oriented paradigm along with new approaches to computation. Anyone interested in being introduced to the theory of computer science.

Genres: Computer Science, Algorithms, Nonfiction, Programming, Mathematics, Science, Technology

596 pages, Paperback

First published January 1, 1987

Reviews

[Alon Gutman · Rating 4 out of 5]

I read this book when I was 14, and it was for me the introduction to computer science, (and anything related to programming).

I think if you don't know anything about computer science, but you like mathematics,
and want to know what is an algorithm, you will find this book to be fascinating, and great introduction to computer science and algorithmic thinking.

[Antek · Rating 5 out of 5]

Top 10 books that made me cry.

[Alan · Rating 4 out of 5]

I wish I had read this when studying for my degree. Well worth reading.

[Thomas · Rating 4 out of 5]

Skimmed out of interest, fairly solid introduction to algorithmics, doesn't rely too heavily on previous or technical knowledge. Would recommend to a beginner.

[Gavin · Rating 4 out of 5]

A thing of beauty: an attempt at a work of computer science that doesn’t date. It's general abstract introductory matter. The field is hugely consequential: different algorithms for the same task can differ in performance by a factor of trillions.

Bible quotations book-end each chapter and give this a frisson of something other.

[Alan Silva · Rating 3 out of 5]

A good book with good substance about the Algorithm field and the chapters about Probabilistic Algorithms and Algorithmics and Inteligence is a good reference to start.