Optimization problem

Results: 1483



#Item
11COMPleib: COnstrained Matrix–optimization Problem library – a collection of test examples for nonlinear semidefinite programs, control system design and related problems F. LEIBFRITZ  ∗

COMPleib: COnstrained Matrix–optimization Problem library – a collection of test examples for nonlinear semidefinite programs, control system design and related problems F. LEIBFRITZ ∗

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Source URL: www.friedemann-leibfritz.de

- Date: 2006-07-30 04:22:03
    12A joint routing and speed optimization problem Ricardo Fukasawa∗, Qie He†, Fernando Santos‡, Yongjia Song§ Abstract Vehicle speed plays a significant role on fuel consumption and greenhouse gas emissions in freigh

    A joint routing and speed optimization problem Ricardo Fukasawa∗, Qie He†, Fernando Santos‡, Yongjia Song§ Abstract Vehicle speed plays a significant role on fuel consumption and greenhouse gas emissions in freigh

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    Source URL: www.optimization-online.org

    - Date: 2016-02-26 15:46:21
      13A disjunctive convex programming approach to the pollution routing problem Ricardo Fukasawa∗, Qie He†, Yongjia Song‡ Abstract The pollution routing problem (PRP) aims to determine a set of routes and speed over eac

      A disjunctive convex programming approach to the pollution routing problem Ricardo Fukasawa∗, Qie He†, Yongjia Song‡ Abstract The pollution routing problem (PRP) aims to determine a set of routes and speed over eac

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      Source URL: www.optimization-online.org

      - Date: 2016-07-04 10:50:31
        14A branch-cut-and-price algorithm for the energy minimization vehicle routing problem Ricardo Fukasawa∗, Qie He†, Yongjia Song‡ August 25, 2014  Abstract

        A branch-cut-and-price algorithm for the energy minimization vehicle routing problem Ricardo Fukasawa∗, Qie He†, Yongjia Song‡ August 25, 2014 Abstract

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        Source URL: www.optimization-online.org

        - Date: 2014-08-25 10:56:32
          15An effective technique for solving optimization problems over massive data sets is to partition the data into smaller pieces, solve the problem on each piece and compute a representative solution from it, and finally obt

          An effective technique for solving optimization problems over massive data sets is to partition the data into smaller pieces, solve the problem on each piece and compute a representative solution from it, and finally obt

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          Source URL: mmds-data.org

          - Date: 2016-06-23 15:50:48
            16Many data analysis applications require the solution of optimization problems involving a sum of large number of functions. We consider the problem of minimizing a sum of n functions over a convex constraint set. Algorit

            Many data analysis applications require the solution of optimization problems involving a sum of large number of functions. We consider the problem of minimizing a sum of n functions over a convex constraint set. Algorit

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            Source URL: mmds-data.org

            - Date: 2016-06-23 15:50:48
              17RTGMin-max-min Robust Optimization for the Capacitated Vehicle Routing Problem  Jannis Kurtz, Lars Eufinger

              RTGMin-max-min Robust Optimization for the Capacitated Vehicle Routing Problem Jannis Kurtz, Lars Eufinger

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              Source URL: grk1855.tu-dortmund.de

              - Date: 2015-09-07 14:37:08
                18AN OPTIMIZATION PROBLEM ON THE LIE GROUP SO(2,1) Ilg¬n Sa¼ ger, Izmir University of Economics, Izmir, Turkey Abstract

                AN OPTIMIZATION PROBLEM ON THE LIE GROUP SO(2,1) Ilg¬n Sa¼ ger, Izmir University of Economics, Izmir, Turkey Abstract

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                Source URL: gigda.ugr.es

                - Date: 2011-10-21 04:10:12
                  19BT Research  The optimization problem Short paths

                  BT Research The optimization problem Short paths

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                  Source URL: keithbriggs.info

                  - Date: 2010-06-14 04:08:39
                    20III.  DYNAMIC OPTIMIZATION PROBLEM

                    III. DYNAMIC OPTIMIZATION PROBLEM

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                    Source URL: web.eecs.umich.edu

                    - Date: 2016-04-25 13:15:13