Final Report---Next-Generation Solvers for Mixed-Integer Nonlinear Programs [electronic resource] : Structure, Search, and Implementation
- Washington, D.C. : United States. Dept. of Energy, 2013.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
- Physical Description:
- 9 pages : digital, PDF file
- Additional Creators:
- University of Wisconsin
United States. Department of Energy
United States. Department of Energy. Office of Scientific and Technical Information
- The mathematical modeling of systems often requires the use of both nonlinear and discrete components. Problems involving both discrete and nonlinear components are known as mixed-integer nonlinear programs (MINLPs) and are among the most challenging computational optimization problems. This research project added to the understanding of this area by making a number of fundamental advances. First, the work demonstrated many novel, strong, tractable relaxations designed to deal with non-convexities arising in mathematical formulation. Second, the research implemented the ideas in software that is available to the public. Finally, the work demonstrated the importance of these ideas on practical applications and disseminated the work through scholarly journals, survey publications, and conference presentations.
- Published through SciTech Connect.
Linderoth, Jeff T.; Luedtke, James R.
- Type of Report and Period Covered Note:
- Final; 08/01/2008 - 08/01/2012
- Funding Information:
View MARC record | catkey: 14653414