Randomized algorithms

Results: 419



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1Symposium on Theoretical Aspects of Computer ScienceBordeaux), ppwww.stacs-conf.org RENT, LEASE OR BUY: RANDOMIZED ALGORITHMS FOR MULTISLOPE SKI RENTAL ZVI LOTKER 1 , BOAZ PATT-SHAMIR 2 , AND DROR RAWITZ

Symposium on Theoretical Aspects of Computer ScienceBordeaux), ppwww.stacs-conf.org RENT, LEASE OR BUY: RANDOMIZED ALGORITHMS FOR MULTISLOPE SKI RENTAL ZVI LOTKER 1 , BOAZ PATT-SHAMIR 2 , AND DROR RAWITZ

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Source URL: drops.dagstuhl.de

Language: English - Date: 2008-02-05 07:52:47
    2Contents Pseudorandomness { Part II Introduction Lecture 1. Deterministic Simulation of Randomized Algorithms 1. Probabilistic Algorithms versus Deterministic Algorithms 2. De-randomization Under Complexity Assumptions

    Contents Pseudorandomness { Part II Introduction Lecture 1. Deterministic Simulation of Randomized Algorithms 1. Probabilistic Algorithms versus Deterministic Algorithms 2. De-randomization Under Complexity Assumptions

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    Source URL: www.wisdom.weizmann.ac.il

    Language: English - Date: 2014-06-22 06:27:31
      3Advanced Approximation Algorithms  (CMU 18-854B, SpringLecture 2: LP Relaxations, Randomized Rounding Jan 17, 2008

      Advanced Approximation Algorithms (CMU 18-854B, SpringLecture 2: LP Relaxations, Randomized Rounding Jan 17, 2008

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      Source URL: www.cs.cmu.edu

      - Date: 2008-01-21 16:09:45
        4Linear and Sublinear Linear Algebra Algorithms:   Preconditioning Stochastic Gradient Algorithms with Randomized Linear Algebra

        Linear and Sublinear Linear Algebra Algorithms: Preconditioning Stochastic Gradient Algorithms with Randomized Linear Algebra

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        Source URL: dimacs.rutgers.edu

        - Date: 2015-08-27 15:47:14
          5Deterministic Sampling Algorithms for Network Design Anke van Zuylen Abstract For several NP-hard network design problems, the best known approximation algorithms are remarkably simple randomized algorithms called Sample

          Deterministic Sampling Algorithms for Network Design Anke van Zuylen Abstract For several NP-hard network design problems, the best known approximation algorithms are remarkably simple randomized algorithms called Sample

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          Source URL: arvanzuijlen.people.wm.edu

          - Date: 2009-07-13 21:26:58
            6Implementing Randomized Matrix Algorithms in Parallel and Distributed Environments Michael W. Mahoney Stanford University ( For more info, see: http:// cs.stanford.edu/people/mmahoney/

            Implementing Randomized Matrix Algorithms in Parallel and Distributed Environments Michael W. Mahoney Stanford University ( For more info, see: http:// cs.stanford.edu/people/mmahoney/

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            Source URL: mmds-data.org

            - Date: 2016-03-09 01:30:00
              7Competitive Online Algorithms Susanne Albers Overview  arrive one by one and must be scheduled immediately

              Competitive Online Algorithms Susanne Albers Overview arrive one by one and must be scheduled immediately

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              Source URL: www14.in.tum.de

              Language: English - Date: 2013-11-25 11:09:17
              8Random Shortest Paths: Non-Euclidean Instances for Metric Optimization Problems∗ Karl Bringmann†1 , Christian Engels2 , Bodo Manthey3 , and B. V. Raghavendra Rao4 1

              Random Shortest Paths: Non-Euclidean Instances for Metric Optimization Problems∗ Karl Bringmann†1 , Christian Engels2 , Bodo Manthey3 , and B. V. Raghavendra Rao4 1

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              Source URL: people.mpi-inf.mpg.de

              Language: English - Date: 2016-01-03 06:48:33
              9Improved Randomized On-Line Algorithms for the List Update Problem Susanne Albers Abstract  The best randomized

              Improved Randomized On-Line Algorithms for the List Update Problem Susanne Albers Abstract The best randomized

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              Source URL: www14.in.tum.de

              Language: English - Date: 2013-11-25 11:07:04
              10A Quadratic Regulator-Based Heuristic for Rapidly Exploring State Space Elena Glassman and Russ Tedrake Abstract— Kinodynamic planning algorithms like RapidlyExploring Randomized Trees (RRTs) hold the promise of findin

              A Quadratic Regulator-Based Heuristic for Rapidly Exploring State Space Elena Glassman and Russ Tedrake Abstract— Kinodynamic planning algorithms like RapidlyExploring Randomized Trees (RRTs) hold the promise of findin

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              Source URL: eglassman.github.io

              Language: English - Date: 2016-07-29 16:41:12