The Algorithm Design Manual

Springer Nature, 05/10/2020 - 793 páginas
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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.

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LibraryThing Review

Procura do Utilizador  - scottcholstad - LibraryThing

A pretty good resource and one of the better books on the subject, in my opinion. However, many describe it as "introductory" algorithms, and I'm not sure I totally agree. Unless you already posses a ... Ler crítica na íntegra

Good material Index sucks

Procura do Utilizador  - buynewtextbookcom -

I recently bought the second edition in order to do some personal research and as such did not plan on reading the book from covertocover. I intend to use the book as a reference and therefore utilize ... Ler crítica na íntegra


Part II The Hitchhikers Guide to Algorithms
Chapter 23 Bibliography

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Acerca do autor (2020)

Dr. Steven S. Skiena is Distinguished Teaching Professor of Computer Science at Stony Brook University, with research interests in data science, natural language processing, and algorithms. He was awarded the IEEE Computer Science and Engineering Undergraduate Teaching Award “for outstanding contributions to undergraduate education ...and for influential textbooks and software.”

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