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Livros sobre o tema "Competitive algorithms"

Autor: Grafiati

Publicado: 25 de maio de 2024

Última modificação: 19 de julho de 2025

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1

Kothari, Ravi. A competitive genetic algorithm for single row facility layout. Indian Institute of Management, 2012.

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2

Borodin, Allan. Online computation and competitive analysis. Cambridge University Press, 1998.

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3

Kravets, O. Ya. Information systems competitive development: Algorithms and software for intranet interfaces. Science Book Publishing House, 2013.

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4

Koren, Gilad. An optimal scheduling algorithm with a competitive factor for real-time systems. Courant Institute of Mathematical Sciences, New York University, 1991.

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5

Koren, Gilad. An optimal scheduling algorithm with a competitive factor for real-time systems. Courant Institute of Mathematical Sciences, New York University, 1991.

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6

Valdez, Fevrier, Juan Barraza, and Patricia Melin. Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-47712-6.

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7

Leal, Juan Ruiz, and David Esparza Alba. Algorithms: For Competitive Programming. Independently Published, 2021.

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8

Laaksonen, Antti. Guide to Competitive Programming: Learning and Improving Algorithms Through Contests. Springer, 2020.

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9

Buchbinder, Niv, and Joseph (Seffi) Naor. Design of Competitive Online Algorithms Via a Primal-Dual Approach. Now Publishers, 2009.

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10

Guide to Competitive Programming: Learning and Improving Algorithms Through Contests. Springer International Publishing AG, 2024.

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11

Gibbons, Greg, Danièle Gibbons, Christoph Dürr, and Jill-Jênn Vie. Competitive Programming in Python: 128 Algorithms to Develop Your Coding Skills. Cambridge University Press, 2020.

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12

Competitive Programming in Python: 128 Algorithms to Develop Your Coding Skills. University of Cambridge ESOL Examinations, 2020.

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13

Naor, Joseph. The Design of Competitive Online Algorithms via a Primal—Dual Approach. 2009.

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14

Modeling Discrete Competitive Facility Location. Springer, 2015.

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15

Laaksonen, Antti. Guide to Competitive Programming: Learning and Improving Algorithms Through Contests (Undergraduate Topics in Computer Science). Springer, 2018.

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16

VIKRAMAN, Narayana. Bioinformatics Algorithms: For BE/B. TECH/BCA/MCA/ME/M. TECH/Diploma/B. Sc/M. Sc/BBA/MBA/Competitive Exams and Knowledge Seekers. Independently Published, 2021.

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17

Bioinformatics Algorithms: For BE/B. TECH/BCA/MCA/ME/M. TECH/Diploma/B. Sc/M. Sc/BBA/MBA/Competitive Exams and Knowledge Seekers. Independently Published, 2021.

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18

VIKRAMAN, Naray. Bioinformatics Algorithms: For BE/B. Tech/BCA/MCA/ME/M. Tech/Polytechnic/B. Sc/M. Sc/BBA/MBA/Competitive Exams and Knowledge Seekers. Independently Published, 2021.

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19

Advanced Data Structures and Algorithms: For BE/B. TECH/BCA/MCA/ME/M. TECH/Diploma/B. Sc/M. Sc/BBA/MBA/Competitive Exams and Knowledge Seekers. Independently Published, 2021.

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20

Xu, Raymond, Claire Xu, and William Xu. Algorithmic Thinking for Adventurous Minds: Quest for Fundamental Algorithms Used in Competition and Job Interview. Independently Published, 2021.

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21

Uemura, Yoshiteru, Salil K. Mehra, and Steven Van Uytsel. Algorithms, Collusion and Competition Law: A Comparative Approach. Elgar Publishing Limited, Edward, 2023.

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22

Whish, Richard, and David Bailey. Competition Law. Oxford University Press, 2018. http://dx.doi.org/10.1093/law-ocl/9780198779063.001.0001.

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The book explains the purpose of competition policy, introduces the reader to key concepts and techniques in competition law and provides insights into the numerous different issues that arise when analysing market behaviour. Describing the law in its economics and market context, the chapters particularly consider the competition law implications of business phenomena, including distribution agreements, licences of intellectual property rights, cartels, joint ventures and mergers. The book assimilates a wide variety of resources, including judgments, decisions, guidelines and periodical literature. The text has been updated to include the changes to UK law introduced by the Consumer Rights Act 2015, including the reform of collective actions. It also considers the Directive on Antitrust Damages Actions and other measures designed to facilitate private enforcement of competition law. The book also discusses for the first time the application of competition law to price signalling, algorithmic collusion and other atypical cartel activities; it also incorporates extensive new case law and decisional practice at EU and UK level.

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23

Barraza, Juan. Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks. Springer, 2023.

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24

Ezrachi, Ariel, and Maurice E. Stucke. Virtual Competition: The Promise and Perils of the Algorithm-Driven Economy. Harvard University Press, 2019.

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25

Virtual Competition: The Promise and Perils of the Algorithm-Driven Economy. Harvard University Press, 2016.

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26

Iansiti, Marco. Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World. Harvard Business Review Press, 2020.

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27

Maasen, Sabine, and Jan-Hendrik Passoth, eds. Soziologie des Digitalen - Digitale Soziologie? Nomos Verlagsgesellschaft mbH & Co. KG, 2020. http://dx.doi.org/10.5771/9783845295008.

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About ten years ago, we were still able to justify the reservations of sociology with regard to digitisation as a healthy caution against the hype of the ‘virtual world’ and ‘cyberspace’; today, the situation looks different: beyond the usual rhetoric of media revolutions, new forms of practice, organisation and order have emerged around digital technologies in more or less all fields, posing tangible challenges to sociological theory-building, methods development and empirical social research. Are our theories based on action, communication or practice suitable for describing the contribution of algorithms? Are our methods for dealing with language, images and printed text suitable for analysing the automatic modification of texts, images and videos by filter technologies? How do we deal with increasing competition in data analysis and evaluation? These are the questions that this special volume of the journal ‘Soziale Welt’ (ISSN 0038-6073) explores. With contributions by Dirk Baecker, Sascha Dickel, Tobias Wolbring, Barbara Sutter, Sabine Maasen, Elke Wagner, Niklas Barth, Katharina Kinder-Kurlanda, Roger Häußling, Udo Thiedeke, Josef Wehner, Nicole Zillien, Bernadette Kneidinger-Müller, Heike Greschke, Jagoda Motowidlo, René König, Patrik Sumpf, Christian Stegbauer, Alexander Mehler, Oliver Nachtwey, Philipp Staab, Andreas Boes, Tobias Kämpf, Alexander Zielger, Sabine Pfeiffer, Anne Suphan, Uli Meyer, Uwe Matzat, Erik van Ingen, Christian Papsdorf, Tanja Carstensen, Jeffrey Wimmer, John Postill, Victor Lasa, Ge Zhang, Evelyn Ruppert

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