Global optimization

Results: 549



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11Global Optimization ESI 6492 Section 13D4 Academic Term: Spring 2018 Instructor: Distinguished Professor Panagote (Panos) M. Pardalos, http://www.ise.ufl.edu/pardalos/ Email Address:

Global Optimization ESI 6492 Section 13D4 Academic Term: Spring 2018 Instructor: Distinguished Professor Panagote (Panos) M. Pardalos, http://www.ise.ufl.edu/pardalos/ Email Address:

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Source URL: www.ise.ufl.edu

Language: English - Date: 2018-01-08 09:03:19
    12Decomposition and Cooperative Coevolution Techniques for Large Scale Global Optimization Associate Professor Xiaodong Li School of Computer Science and IT, RMIT University, Melbourne, VIC 3001, Australia Email: xiaodong.

    Decomposition and Cooperative Coevolution Techniques for Large Scale Global Optimization Associate Professor Xiaodong Li School of Computer Science and IT, RMIT University, Melbourne, VIC 3001, Australia Email: xiaodong.

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    Source URL: www.conference123.org

    Language: English - Date: 2014-07-16 23:21:57
      13Manuel Hermenegildo Areas of Interest Energy-Aware Computing, Resource / non-functional property analysis, verification, and control; Global Program Analysis, Optimization, Verification, Debugging; Abstract Interpretatio

      Manuel Hermenegildo Areas of Interest Energy-Aware Computing, Resource / non-functional property analysis, verification, and control; Global Program Analysis, Optimization, Verification, Debugging; Abstract Interpretatio

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      Source URL: cliplab.org

      - Date: 2017-11-15 11:58:15
        14Feature Correspondence via Graph Matching: Models and Global Optimization Lorenzo Torresani1, Vladimir Kolmogorov2, and Carsten Rother1 1 Microsoft Research Ltd., Cambridge, UK, {ltorre, carrot}@microsoft.com

        Feature Correspondence via Graph Matching: Models and Global Optimization Lorenzo Torresani1, Vladimir Kolmogorov2, and Carsten Rother1 1 Microsoft Research Ltd., Cambridge, UK, {ltorre, carrot}@microsoft.com

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        Source URL: www.cs.dartmouth.edu

        - Date: 2008-07-28 18:13:30
          15Data/Model Privacy and Compliance with SigOpt SigOpt Global Optimization SigOpt is a black box, global optimization platform. SigOpt finds the ​parameters​ that maximizes an ​objective metric ​of a model:

          Data/Model Privacy and Compliance with SigOpt SigOpt Global Optimization SigOpt is a black box, global optimization platform. SigOpt finds the ​parameters​ that maximizes an ​objective metric ​of a model:

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          Source URL: static.sigopt.com

          - Date: 2017-09-14 18:19:33
            16On the Global Linear Convergence of Frank-Wolfe Optimization Variants Simon Lacoste-Julien Martin Jaggi Dept. of Computer Science, ETH Zürich, Switzerland

            On the Global Linear Convergence of Frank-Wolfe Optimization Variants Simon Lacoste-Julien Martin Jaggi Dept. of Computer Science, ETH Zürich, Switzerland

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            Source URL: www.m8j.net

            - Date: 2015-12-09 18:17:58
              17PSwarm: A Hybrid Solver for Linearly Constrained Global Derivative-Free Optimization A. I. F. Vaz∗ L. N. Vicente†

              PSwarm: A Hybrid Solver for Linearly Constrained Global Derivative-Free Optimization A. I. F. Vaz∗ L. N. Vicente†

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              Source URL: www.mat.uc.pt

              - Date: 2009-03-16 15:46:49
                18A particle swarm pattern search method for bound constrained global optimization A. Ismael F. Vaz ∗

                A particle swarm pattern search method for bound constrained global optimization A. Ismael F. Vaz ∗

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                Source URL: www.mat.uc.pt

                - Date: 2006-12-21 07:51:26
                  19IBM Global Business Services Business Analytics and Optimization In collaboration with Saïd Business School at the University of Oxford Executive Report

                  IBM Global Business Services Business Analytics and Optimization In collaboration with Saïd Business School at the University of Oxford Executive Report

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                  Source URL: www-935.ibm.com

                  - Date: 2013-10-25 03:15:09
                    20Neural networks Training neural networks - optimization OPTIMIZATION Topics: local optimum, global optimum, plateau • Notes

                    Neural networks Training neural networks - optimization OPTIMIZATION Topics: local optimum, global optimum, plateau • Notes

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                    Source URL: dl.dropboxusercontent.com