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Libros sobre el tema "Algorithems"

Autor: Grafiati
Publicado: 6 de septiembre de 2023
Última modificación: 11 de septiembre de 2023

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1

Smith, Jeffrey Dean. Design and analysis of algorithms. PWS-KENT Pub. Co., 1989.

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2

The advent of the algorithm: The 300 year journey from an idea to the computer. Harcourt, 2001.

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3

Berlinski, David. The advent of the algorithm: The idea that rules the world. Harcourt, 2000.

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4

Müller-Hannemann, Matthias, and Stefan Schirra. Algorithm engineering: Bridging the gap between algorithm theory and practice. Springer, 2010.

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5

Baase, Sara. Computer algorithms: Introduction to design and analysis. 2nd ed. Addison-Wesley Pub. Co., 1991.

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6

Baase, Sara. Computer algorithms: Introduction to design and analysis. 2nd ed. Addison-Wesley Pub. Co., 1988.

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7

VerfasserIn, Van Gelder Allen, ed. Computer algorithms: Introduction to design and analysis. 3rd ed. Pearson Education, 2009.

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8

Algorithm engineering for integral and dynamic problems. Gordon & Breach, 2001.

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9

Lance, Chambers, ed. The practical handbook of genetic algorithms: Applications. 2nd ed. Chapman & Hall/CRC, 2001.

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10

H, Jamieson Leah, Gannon Dennis B. 1947-, and Douglass Robert J, eds. The characteristics of parallel algorithms. MIT Press, 1987.

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11

Feldbauer, Martin. Martin Feldbauer: Allmächtiger Algorithmus = Almighty algorithm. Syker Vorwerk, 2017.

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12

Chang, Lin, William D. Chey, John Kellow, Jan Tack, and William E. Whitehead, eds. Rome IV Diagnostic Algorithms. The Rome Foundation, 2016. http://dx.doi.org/10.24890/algorithms.

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13

K, Belew Richard, and Booker Lashon B, eds. Proceedings of the Fourth International Conference on Genetic Algorithms, University of California, San Diego, July 13-16, 1991. Morgan Kaufmann, 1991.

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14

Brent, R. P. Algorithms for minimization without derivatives. Dover Publications, 2002.

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15

An introduction to the analysis of algorithms. 2nd ed. World Scientific Publ., 2012.

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16

Dr, Herrera Francisco, and Verdegay José-Luis, eds. Genetic algorithms and soft computing. Physica-Verlag, 1996.

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17

Evripidis, Bampis, Jansen Klaus, and Kenyon Claire, eds. Efficient approximation and online algorithms: Recent progress on classical combinatorical optimization problems and new applications. Springer, 2006.

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18

Evripidis, Bampis, Jansen Klaus, and Kenyon Claire, eds. Efficient approximation and online algorithms: Recent progress on classical combinatorical optimization problems and new applications. Springer, 2006.

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19

Designing efficient algorithms for parallel computers. McGraw, 1988.

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20

Designing efficient algorithms for parallel computers. McGraw-Hill, 1987.

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21

Nine algorithms that changed the future: The ingenious ideas that drive today's computers. Princeton University Press, 2012.

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22

The design and analysis of efficient learning algorithms. MIT Press, 1992.

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23

K, Agarwal Pankaj, Kavraki Lydia, and Mason Matthew T, eds. Robotics: The algorithmic perspective : the Third Workshop on the Algorithmic Foundations of Robotics. A K Peters, 1998.

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24

-P, Laumond J., and Overmars Mark H. 1958-, eds. Algorithms for robotic motion and manipulation: 1996 Workshop on the Algorithmic Foundations of Robotics. A K Peters, 1997.

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25

Hutchinson, Alan. Algorithmic learning. Clarendon Press, 1994.

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26

Giuseppe, Persiano, and Solis-Oba Roberto, eds. Approximation and online algorithms: Second International Workshop, WAOA 2004, Bergen, Norway, September 14-16, 2004 : revised selected papers. Springer, 2005.

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27

Workshop, WADS '89 (1989 Ottawa Ont ). Algorithms and data structures: Workshop WADS '89, Ottawa, Canada, August 17-19, 1989 : proceedings. Springer-Verlag, 1989.

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28

Wilf, Herbert S. Algorithms and complexity. Prentice-Hall, 1986.

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29

Algorithms and complexity. 2nd ed. A.K. Peters, 2002.

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30

Alan, Gibbons. Efficient parallel algorithms. Cambridge University Press, 1988.

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31

Weimin, Wu, Cardullo Frank M, and Langley Research Center, eds. Motion cueing algorithm development: Initial investigation and redesign of the algorithms. National Aeronautics and Space Administration, Langley Research Center, 2000.

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32

H, Cormen Thomas, and Cormen Thomas H, eds. Introduction to algorithms. 2nd ed. MIT Press, 2001.

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33

Information-theoretic incompleteness. World Scientific, 1992.

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34

Lance, Chambers, ed. Practical handbook of genetic algorithms. CRC Press, 1995.

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35

Griffiths, P. 1947 Oct. 29- and Hill I. D. 1926-, eds. Applied statistics algorithms. Published by E. Horwood for the Royal Statistical Society, London, 1985.

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36

(Editor), Lawrence D. Davis, Kenneth De Jong (Editor), Michael D. Vose (Editor), and L. Darrell Whitley (Editor), eds. Evolutionary Algorithms (The IMA Volumes in Mathematics and its Applications). Springer, 1999.

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37

Berlinski, David. The Advent of the Algorithm: The 300-Year Journey from an Idea to the Computer. Harvest Books, 2001.

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38

James, Evans. Optimization Algorithms for Networks and Graphs. Taylor & Francis Group, 2017.

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39

James, Evans. Optimization Algorithms for Networks and Graphs. Taylor & Francis Group, 2017.

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40

Müller-Hannemann, Matthias, and Stefan Schirra. Algorithm Engineering: Bridging the Gap Between Algorithm Theory and Practice. Springer London, Limited, 2010.

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41

Baase, Sara. Computer Algorithms: An Introduction to Design & Analysis. Addison-Wesley, 2001.

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42

Chambers, Lance. Practical Handbook of Genetic Algorithms: Applications. Taylor & Francis Group, 2001.

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43

Chambers, Lance. Practical Handbook of Genetic Algorithms. Taylor & Francis Group, 2020.

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44

Bleakley, Chris. Poems That Solve Puzzles. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198853732.001.0001.

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Algorithms are the hidden methods that computers apply to process information and make decisions. The book tells the story of algorithms from their ancient origins to the present day and beyond. The book introduces readers to the inventors and events behind the genesis of the world’s most important algorithms. Along the way, it explains, with the aid of examples and illustrations, how the most influential algorithms work. The first algorithms were invented in Mesopotamia 4,000 years ago. The ancient Greeks refined the concept, creating algorithms for finding prime numbers and enumerating Pi. Al-Khawrzmi’s 9th century books on algorithms ultimately became their conduit to the West. The invention of the electronic computer during World War II transformed the importance of the algorithm. The first computer algorithms were for military applications. In peacetime, researchers turned to grander challenges - forecasting the weather, route navigation, choosing marriage partners, and creating artificial intelligences. The success of the Internet in the 70s depended on algorithms for transporting data and correcting errors. A clever algorithm for ranking websites was the spark that ignited Google. Recommender algorithms boosted sales at Amazon and Netflix, while the EdgeRank algorithm drove Facebook’s NewsFeed. In the 21st century, an algorithm that mimics the operation of the human brain was revisited with the latest computer technology. Suddenly, algorithms attained human-level accuracy in object and speech recognition. An algloirthm defeated the world champion at Go - the most complex of board games. Today, algorithms for cryptocurrencies and quantum computing look set to change the world.
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45

(Editor), Alberto Apostolico, Maxime Crochemore (Editor), Zvi Galil (Editor), and Udi Manber (Editor), eds. Combinatorial Pattern Matching: 4th Annual Symposium, CPM 93, Padova, Italy, June 2-4, 1993. Proceedings (Lecture Notes in Computer Science). Springer, 1993.

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46

Sedgewick, Robert. Algorithms (Addison-Wesley series in computer science). Addison Wesley Longman Publishing Co, 1998.

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47

Design Analysis and Algorithms: Analysis of algorithm, Advanced Data Structure, Algorithm Analysis. University Science Press, 2008.

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48

Bucher, Taina. The Multiplicity of Algorithms. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190493028.003.0002.

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Algorithms exist and operate on multiple levels. They are technical as much as they are social, cultural as much as they are functional. The chapter examines the multiplicity of algorithms, arguing for an expanded view on algorithms that takes it variable ontology into account. Providing the conceptual groundwork by merging perspectives from computer science, social sciences, and the humanities, the chapter explains the different meanings of algorithms as technical entities, and phenomena of social concern, respectively. Algorithms do not merely have power and politics; they are fundamentally productive of new ways of ordering the world as part of a much wider network of relations and practices. Offering a rich overview of critical algorithms studies, the author suggests that the multiplicity of algorithms is not about providing different perspectives on one static object called an algorithm but about realizing how the algorithm is already many things at once.
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49

Cormen, Thomas H., Clifford Stein, and Ronald L. Rivest. Introduction to Algorithms, Fourth Edition. MIT Press, 2022.

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50

Algorithms and Subjectivity. Taylor & Francis Group, 2021.

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