Algorithmik: Die Kunst des Rechnens

by David Harel, Yishai Feldman, M. Krieger-Hauwede (Translator)

Algorithmen sind der Kern der Informatik und der Mathematik, da jede Nutzung eines Computers erst durch Rechenverfahren uberhaupt moglich wird. In diesem Buch, das in der englischen Originalausgabe schon lange ein Bestseller ist, gibt der Autor und sein Co-Autor umfassend und didaktisch geschickt Auskunft zu allen Fragen rund um das Thema Algorithmen, so z.B. zu Themen wie Berechenbarkeit, Korrektheit und Effizienz von Algorithmen, zu Programmiertechniken, und auch das aktuelle Thema Quantenrechnen wird behandelt. Das Buch kann als Grundlage eines einsemestrigen Einfuhrungskurses in die Informatik dienen, oder als allgemeine Informatik-Einfuhrung in den Naturwissenschaften, der Mathematik oder im Ingenieurwesen."

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

626 pages, Hardcover

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.