Last edited by Mom
Saturday, July 18, 2020 | History

7 edition of Experimental Algorithmics found in the catalog.

Experimental Algorithmics

From Algorithm Design to Robust and Efficient Software (Lecture Notes in Computer Science)

  • 311 Want to read
  • 23 Currently reading

Published by Springer .
Written in English

    Subjects:
  • Software engineering,
  • Programming - General,
  • Data structures (Computer science),
  • Computer algorithms,
  • Development,
  • Algorithms (Computer Programming),
  • Data Structures,
  • Computers,
  • Computers - Languages / Programming,
  • Data structures (Computer scie,
  • Computer Books: General,
  • Computer Science,
  • Discrete Mathematics,
  • Programming - Algorithms,
  • Computers / Computer Science,
  • Computers / Programming / Algorithms,
  • Computers-Computer Science,
  • Mathematics-Discrete Mathematics,
  • Database Management - General,
  • Application software

  • Edition Notes

    ContributionsRudolf Fleischer (Editor), Bernhard Moret (Editor), Erik Meineche Schmidt (Editor)
    The Physical Object
    FormatPaperback
    Number of Pages296
    ID Numbers
    Open LibraryOL9053765M
    ISBN 103540003460
    ISBN 109783540003465

    Journal of Experimental Algorithmics IF is decreased by a factor of and approximate percentage change is % when compared to preceding year , which shows a falling trend. The impact factor (IF), also denoted as Journal impact factor (JIF), of an academic journal is a measure of the yearly average number of citations to recent. Frank Schulz, Dorothea Wagner, and Karsten Weihe. Dijkstra's algorithm on-line: An empirical case study from public railroad transport. ACM Journal of Experimental Algorithmics 5, 12, Google Scholar; Sabine Storandt. Contraction hierarchies on grid graphs. In KI Advances in Artificial : DibbeltJulian, StrasserBen, WagnerDorothea.

    In experimental algorithmics, most hypotheses can be expressed as statements constraining parameters in a statistical model, i.e., “the average speedup of A over B is at least 20%”. Thus, in contrast to earlier statistical practice, we recommend to approach evaluation of hypotheses by parameter estimation and to only use the classical Cited by: 5. The Journal of Experimental Algorithmics (ISSN ) is published by The Association for Computing Machinery. The journal is entirely paperless. It contains refereed articles organized by volume and article number, together with software and data files that accompany most articles.

    Journal of Experimental Algorithmics. Country: United States - SIR Ranking of United States: H Index. Subject Area and Category SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It. A Guide to Experimental Algorithmics 作者: Catherine C. McGeoch 出版社: Cambridge University Press 出版年: 页数: 定价: USD 装帧: Paperback ISBN:


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Experimental Algorithmics Download PDF EPUB FB2

She has been deeply involved with the development of the methodology of experimental algorithmics over the past 25 years. This book contains a breadth of advice, examples, and anecdotes, benefiting from her wealth of experience and many collaborations with other innovators in the discipline.

The book provides a structured process for the Design Cited by: The book seems mostly intended for those doing experimental algorithmics in academic settings. While practitioners can certainly learn a good deal from. Description: Experimental algorithmics, as its name indicates, combines algorithmic work and experimentation: algorithms are not just designed, but also implemented and tested on a variety of instances.

Perhaps the most important lesson in this process is that designing an algorithm is but the first step in the process of developing robust and. Find many great new & used options and get the best deals for A Guide to Experimental Algorithmics by Catherine C.

McGeoch (, Paperback) at the best online prices at eBay. Free shipping for many products. Experimental algorithmics, as its name indicates, combines algorithmic work and experimentation: algorithms are not just designed, but also implemented and tested on a variety of instances.

Perhaps the most important lesson in this process is that designing an. Experimental algorithmics, as its name indicates, combines algorithmic work and experimentation: algorithms are not just designed, but also implemented and tested on a variety of instances.

Perhaps the most important lesson in this process is that designing an algorithm is but the first step in the process of developing robust and efficient.

Get this from a library. A guide to experimental algorithmics. [Catherine C McGeoch] -- This guidebook is for those who want to use computational experiments to support their work in algorithm design and analysis.

Get this from a library. A guide to experimental algorithmics. [Catherine C McGeoch] -- "Computational experiments on algorithms can supplement theoretical analysis by showing what algorithms, implementations, and speed-up methods work best for specific machines or problems.

This book. ‘Catherine McGeoch is one of the founders of the field of experimental algorithmics, helping to initiate the discipline with her dissertation, ‘Experimental Analysis of Algorithms’. She has been deeply involved with the development of the methodology of experimental algorithmics over the past 25 years Cited by:   A Guide to Experimental Algorithmics 1st Edition Read & Download - By Catherine C McGeoch A Guide to Experimental Algorithmics Computational experiments on algorithms can supplement theoretical analysis by showing what algor - Read Online Books at hor: Catherine C Mcgeoch.

In computer science, empirical algorithmics (or experimental algorithmics) is the practice of using empirical methods to study the behavior of practice combines algorithm development and experimentation: algorithms are not just designed, but also implemented and tested in a variety of situations.

DOI: /choice Corpus ID: A Guide to Experimental Algorithmics @inproceedings{McGeochAGT, title={A Guide to Experimental Algorithmics}, author={Catherine C. McGeoch}, year={} }. Experimental algorithmics, as its name indicates, combines algorithmic work and experimentation: algorithms are not just designed, but also implemented and tested on a variety of instances.

Perhaps the most important lesson in this process is that designing an algorithm is but the first step in the process of developing robust and efficient Cited by: 5.

This book guides the reader through the nuts and bolts of the major experimental questions: What should I measure. What inputs should I test. How do I analyze the data.

To answer these questions the book draws on ideas from algorithm design and analysis, computer systems, and statistics and data : Catherine C McGeoch. This book constitutes the refereed proceedings of the 15th International Symposium on Experimental Algorithms, SEAheld in St.

Petersburg, Russia, in June The 25 revised full papers presented were carefully reviewed and selected from 54 submissions. The main theme of the symposium is.

Experimental algorithmics [18], i.e., the empirical evaluation of algorithm performance, may guide software development [14] and may also lead to new theoretical insights [13]. Many techniques Author: Catherine Mcgeoch. experimental algorithmics; they are not only useful for network analysis, but also in related con texts.

Keywords: Experimental algorithmics, network analysis, applied graph algorithms. Journal of Experimental Algorithmics citation style guide with bibliography and in-text referencing examples: Journal articles Books Book chapters Reports Web pages.

PLUS: Download citation style files for your favorite reference manager. Read "Experimental Algorithms 15th International Symposium, SEASt. Petersburg, Russia, June, Proceedings" by available from Rakuten Kobo. This book constitutes the refereed proceedings of the 15th International Symposium on Brand: Springer International Publishing.

The benefits of experimental algorithmics and algorithm engineering need to be extended to applications in the computational sciences. In this paper, we present on one such application: the reconstruction of evolutionary histories (phylogenies) from molecular data such as DNA by:. A book that set me on the path of experimental algorithmics is A guide to experimental algorithmics by Catherine C.

McGeoch [1]. I bought the book at the Cambridge University Press bookshop in Cambridge when I was there in April. [1] McGeoch, Catherine C. A guide to experimental algorithmics. Cambridge University Press, Editions for Algorithmics: The Spirit of Computing: (Paperback published in ), (Paperback published in ), (Paper Cited by: On experimental algorithmics: an interview with Catherine McGeoch and Bernard Moret Richard T.

Snodgrass DOI: / Computer science is often divided into two camps, systems and theory, but of course the reality is more complicated and more interesting than that.