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The Algorithm Design Manual
Steven S. Skiena
出版
Springer Nature
, 2020-10-05
主題
Computers / Programming / General
Computers / Computer Science
Computers / Programming / Algorithms
Computers / Data Science / General
Computers / Information Technology
Mathematics / Numerical Analysis
Mathematics / Discrete Mathematics
ISBN
3030542564
9783030542566
URL
http://books.google.com.hk/books?id=S0QBEAAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
Most professional programmers that I’ve encountered are not well prepared to tacklealgorithmdesignproblems.Thisisapity,becausethetechniquesofalgorithm design form one of the core practical technologies of computer science. Designing correct, e?cient, and implementable algorithms for real-world problems requires access to two distinct bodies of knowledge: • Techniques – Good algorithm designers understand several fundamental - gorithm design techniques, including data structures, dynamic programming, depth-?rst search, backtracking, and heuristics. Perhaps the single most - portantdesigntechniqueismodeling,theartofabstractingamessyreal-world application into a clean problem suitable for algorithmic attack. • Resources – Good algorithm designers stand on the shoulders of giants. Ratherthanlaboringfromscratchtoproduceanewalgorithmforeverytask, they can ?gure out what is known about a particular problem. Rather than re-implementing popular algorithms from scratch, they seek existing imp- mentations to serve as a starting point. They are familiar with many classic algorithmic problems, which provide su?cient source material to model most any application. This book is intended as a manual on algorithm design, providing access to combinatorial algorithm technology for both students and computer professionals.