Algorithm Engineering is a methodology for algorithmic research that combines theory with implementation and experimentation in order to obtain better algorithms with high practical impact. Traditionally, the study of algorithms was dominated by mathematical (worst-case) analysis. In Algorithm Engineering, algorithms are also implemented and experiments conducted in a systematic way, sometimes resembling the experimentation processes known from fields such as biology, chemistry, or physics. This helps in counteracting an otherwise growing gap between theory and practice.
| ISBN: | 9783319494869 |
| Publication date: | 11th November 2016 |
| Author: | Lasse Kliemann |
| Publisher: | Springer International Publishing AG |
| Format: | Paperback |
| Pagination: | 419 pages |
| Series: | Theoretical Computer Science and General Issues |
| Genres: |
Algorithms and data structures Applied computing Artificial intelligence Network hardware Mathematical theory of computation Maths for computer scientists Discrete mathematics |
Algorithm Engineering is a methodology for algorithmic research that combines theory with implementation and experimentation in order to obtain better algorithms with high practical impact. Traditionally, the study of algorithms was dominated by mathematical (worst-case) analysis. In Algorithm Engineering, algorithms are also implemented and experiments conducted in a systematic way, sometimes resembling the experimentation processes known from fields such as biology, chemistry, or physics. This helps in counteracting an otherwise growing gap between theory and practice.
Algorithm Engineering features in the following genres: Algorithms and data structures, Applied computing, Artificial intelligence, Network hardware, Mathematical theory of computation, Maths for computer scientists, Discrete mathematics
Algorithm Engineering is available in Paperback
Algorithm Engineering was written by Lasse Kliemann and published by Springer International Publishing AG
Algorithm Engineering has 419 pages
Yes it is part of Theoretical Computer Science and General Issues series
£40.49