Ebook: Encyclopedia of Algorithms
Author: Ming-Yang Kao (Editor)
- Genre: Mathematics // Algorithms and Data Structures
- Tags: Theory of Computation, Electrical Engineering, Applications of Mathematics, Computing Methodologies, Computational Mathematics, Numerical Analysis
- Year: 2016
- Publisher: Springer New York
- City: New York, NY
- Edition: 2
- Language: English
- pdf
This dynamic reference work provides solutions to vital algorithmic problems for scholars, researchers, practitioners, teachers and students in fields such as computer science, mathematics, statistics, biology, economics, financial software, and medical informatics.
This second edition is broadly expanded, building upon the success of its former edition with more than 450 new and updated entries. These entries are designed to ensure algorithms are presented from growing areas of research such as bioinformatics, combinatorial group testing, differential privacy, enumeration algorithms, game theory, massive data algorithms, modern learning theory, social networks, and VLSI CAD algorithms.
Over 630 entries are organized alphabetically by problem, with subentries allowing for distinct solutions. Each entry includes a description of the basic algorithmic problem; the input and output specifications; key results; examples of applications; citations to key literature, open problems, experimental results, links to data sets and downloadable code.
All entries are peer-reviewed, written by leading experts in the field―and each entry contains links to a summary of the author’s research work.
This defining reference is available in both print and online―a dynamic living work with hyperlinks to related entries, cross references citations, and a myriad other valuable URLs.
Эта книга предусматривает решение важных проблем программирования алгоритмов для ученых, исследователей, практиков, преподавателей, аспирантов и студентов в таких областях, как компьютерные науки, математика, статистика, биология, экономика, финансовое обеспечение и медицинская информатика.
Эти рекомендации предназначены для обеспечения работы алгоритмов представлены из развивающихся областей исследований, таких как биоинформатика, дифференциальные алгоритмы перечисления, теории игр, массового данные алгоритмов, современные теории обучения, социальных сетей, и алгоритмов САПР СБИС.
Более 630 статей упорядочены в алфавитном порядке. Все статьи прошли экспертную оценку, написанные ведущими специалистами.
This book provides a solution to important problems programming algorithms for scientists, researchers, practitioners, teachers and students in such areas as computer science, mathematics, statistics, biology, Economics, financial security and health Informatics.
These recommendations are designed to ensure the performance of the algorithms are presented from the developing fields of research such as bioinformatics, algorithms for differential enumeration, game theory, massive data algorithms, modern theories of learning, social networking, algorithms and CAD of VLSI.
More than 630 articles arranged in alphabetical order. All articles passed peer review, written by leading experts.
Эта книга предусматривает решение важных проблем программирования алгоритмов для ученых, исследователей, практиков, преподавателей, аспирантов и студентов в таких областях, как компьютерные науки, математика, статистика, биология, экономика, финансовое обеспечение и медицинская информатика.
Эти рекомендации предназначены для обеспечения работы алгоритмов представлены из развивающихся областей исследований, таких как биоинформатика, дифференциальные алгоритмы перечисления, теории игр, массового данные алгоритмов, современные теории обучения, социальных сетей, и алгоритмов САПР СБИС.
Более 630 статей упорядочены в алфавитном порядке. Все статьи прошли экспертную оценку, написанные ведущими специалистами.
This book provides a solution to important problems programming algorithms for scientists, researchers, practitioners, teachers and students in such areas as computer science, mathematics, statistics, biology, Economics, financial security and health Informatics.
These recommendations are designed to ensure the performance of the algorithms are presented from the developing fields of research such as bioinformatics, algorithms for differential enumeration, game theory, massive data algorithms, modern theories of learning, social networking, algorithms and CAD of VLSI.
More than 630 articles arranged in alphabetical order. All articles passed peer review, written by leading experts.
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