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Books on the topic 'Randomised algorithm'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

Prabhakar, Raghavan, ed. Randomized algorithms. Cambridge University Press, 1995.

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2

Bubley, Russ. Randomized Algorithms: Approximation, Generation and Counting. Springer London, 2001.

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3

Bubley, Russ. Randomized Algorithms: Approximation, Generation and Counting. Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0695-1.

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4

HromkoviČ, Juraj. Design and Analysis of Randomized Algorithms. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/3-540-27903-2.

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5

Clarkson, Kenneth L. Randomized parallel algorithms for trapezoidal diagrams. Courant Institute of Mathematical Sciences, New York University, 1991.

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6

Towards dynamic randomized algorithms in computational geometry. Springer-Verlag, 1993.

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7

Computational geometry: An introduction through randomized algorithms. Prentice-Hall, 1994.

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8

Teillaud, Monique. Towards Dynamic Randomized Algorithms in Computational Geometry. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-57503-0.

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9

Garefalakis, Theodoulos. A family of randomized algorithms for list accessing. University of Toronto, Dept. of Computer Science, 1997.

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10

Granichin, Oleg, Zeev Volkovich, and Dvora Toledano-Kitai. Randomized Algorithms in Automatic Control and Data Mining. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-54786-7.

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11

Design and analysis of randomized algorithms: Introduction to design paradigms. Springer, 2005.

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12

Dubhashi, Devdatt. Concentration of measure for the analysis of randomized algorithms. Cambridge University Press, 2012.

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13

Tempo, Roberto, Giuseppe Calafiore, and Fabrizio Dabbene. Randomized Algorithms for Analysis and Control of Uncertain Systems. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4610-0.

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14

Tempo, Roberto, Fabrizio Dabbene, and Giuseppe Calafiore. Randomized Algorithms for Analysis and Control of Uncertain Systems. Springer London, 2005. http://dx.doi.org/10.1007/b137802.

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15

Concentration of measure for the analysis of randomized algorithms. Cambridge University Press, 2009.

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16

Spirakis, Paul G. Input sensitive, optimal parallel randomized algorithms for addition and identification. Courant Institute of Mathematical Sciences, New York University, 1985.

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17

1954-, Upfal Eli, ed. Probability and computing: An introduction to randomized algorithms and probabilistic analysis. Cambridge University Press, 2005.

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18

Tempo, Roberto. Randomized Algorithms for Analysis and Control of Uncertain Systems: With Applications. 2nd ed. Springer London, 2013.

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19

Hromkovic, J. Design and Analysis of Randomized Algorithms. Springer, 2008.

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20

Mahoney, Michael W. Randomized Algorithms for Matrices and Data. Now Publishers, 2011.

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21

Mulmuley, Ketan. Computational Geometry: An Introduction Through Randomized Algorithms. Prentice Hall, 1998.

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22

Mulmuley, Ketan. Computational Geometry: An Introduction Through Randomized Algorithms. Prentice Hall, 1998.

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23

Mitzenmacher, Michael, and Eli Upfal. Probability and Computing: Randomized Algorithms and Probabilistic Analysis. Cambridge University Press, 2005.

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24

Granichin, Oleg, Zeev (Vladimir) Volkovich, and Dvora Toledano-Kitai. Randomized Algorithms in Automatic Control and Data Mining. Springer, 2014.

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25

Bubley, Russ. Randomized Algorithms: Approximation, Generation and Counting (Distinguished Dissertations). Springer, 2000.

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26

Granichin, Oleg, Zeev (Vladimir) Volkovich, and Dvora Toledano-Kitai. Randomized Algorithms in Automatic Control and Data Mining. Springer, 2016.

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27

Design And Analysis Of Randomized Algorithms Introduction To Design Paradigms. Springer, 2010.

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28

Theory Of Randomized Search Heuristics Foundations And Recent Developments. World Scientific Publishing Company, 2011.

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29

Tempo, Roberto, Giuseppe Calafiore, and Fabrizio Dabbene. Randomized Algorithms for Analysis and Control of Uncertain Systems: With Applications. Springer, 2012.

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30

Tempo, Roberto, Giuseppe Calafiore, and Fabrizio Dabbene. Randomized Algorithms for Analysis and Control of Uncertain Systems: With Applications. Springer, 2012.

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31

Tempo, Roberto, Giuseppe Calafiore, and Fabrizio Dabbene. Randomized Algorithms for Analysis and Control of Uncertain Systems: With Applications. Springer, 2014.

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32

Hromkovic, J. Design and Analysis of Randomized Algorithms: Introduction to Design Paradigms (Texts in Theoretical Computer Science. An EATCS Series). Springer, 2005.

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33

Randomized Algorithms for Analysis and Control of Uncertain Systems (Communications and Control Engineering). Springer, 2004.

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34

Primality Testing in Polynomial Time: From Randomized Algorithms to "PRIMES Is in P" (Lecture Notes in Computer Science). Springer, 2004.

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35

Rancaño, Rocío Santos, Andrés Sánchez Pernaute, and Antonio José Torres Garcia. Single-Anastomosis Malabsorptive Procedures. Edited by Tomasz Rogula, Philip Schauer, and Tammy Fouse. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190608347.003.0039.

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Malabsorptive interventions are recognized as the procedure of choice in metabolic surgery and as the best strategy for re-do surgery when restriction fails. This chapter describes the most recently published single-anastomosis malabsorptive procedures: the one-anastomosis gastric bypass (OAGB), the single-anastomosis duodenoileal anastomosis with sleeve (SADIS), the duodenojejunal omega switch (DJOS), the duodenoileal omega switch (DIOS), the ileal food diversion (IFD), and the sleeve gastrectomy with loop bipartition (SG + LB). These procedures are effective and safe and may be regarded as a

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36

AlJaroudi, Wael. Myocardial Perfusion Imaging Before and After Cardiac Revascularization. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199392094.003.0015.

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Coronary artery disease (CAD) remains the leading cause of morbidity and mortality worldwide. While the burden of the disease remains high, the rates of death attributable to CAD have declined by almost a third between 1998 and 2008. In patients with stable ischemic heart disease (SIHD), data supporting survival benefit from coronary artery bypass graft surgery (CABG) or percutaneous coronary intervention (PCI) versus no revascularization are outdated with the recent advancement in medical therapy. Over the years, myocardial perfusion imaging (MPI) has played a significant role in detecting is

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