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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 liter
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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
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