Final Report---Optimization Under Nonconvexity and Uncertainty: Algorithms and Software

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the goal of this work was to develop new algorithmic techniques for solving large-scale numerical optimization problems, focusing on problems classes that have proven to be among the most challenging for practitioners: those involving uncertainty and those involving nonconvexity. This research advanced the state-of-the-art in solving mixed integer linear programs containing symmetry, mixed integer nonlinear programs, and stochastic optimization problems. The focus of the work done in the continuation was on Mixed Integer Nonlinear Programs (MINLP)s and Mixed Integer Linear Programs (MILP)s, especially those containing a great deal of symmetry.

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Linderoth, Jeff November 6, 2011.

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Description

the goal of this work was to develop new algorithmic techniques for solving large-scale numerical optimization problems, focusing on problems classes that have proven to be among the most challenging for practitioners: those involving uncertainty and those involving nonconvexity. This research advanced the state-of-the-art in solving mixed integer linear programs containing symmetry, mixed integer nonlinear programs, and stochastic optimization problems. The focus of the work done in the continuation was on Mixed Integer Nonlinear Programs (MINLP)s and Mixed Integer Linear Programs (MILP)s, especially those containing a great deal of symmetry.

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  • Report No.: DOE/ER/25869
  • Grant Number: FG02-09ER25869
  • DOI: 10.2172/1028666 | External Link
  • Office of Scientific & Technical Information Report Number: 1028666
  • Archival Resource Key: ark:/67531/metadc833364

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  • November 6, 2011

Added to The UNT Digital Library

  • May 19, 2016, 3:16 p.m.

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  • Jan. 8, 2018, 3:19 p.m.

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Linderoth, Jeff. Final Report---Optimization Under Nonconvexity and Uncertainty: Algorithms and Software, report, November 6, 2011; Madison, Wisconsin. (digital.library.unt.edu/ark:/67531/metadc833364/: accessed September 24, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.