Linearity Embedded in Nonconvex Programs
Author:
- 1 October 2005
- journal article
- Published by Springer Nature in Journal of Global Optimization
- Vol. 33 (2) , 157-196
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- Reduction constraints for the global optimization of NLPsInternational Transactions in Operational Research, 2003
- Reduced first-level representations via the reformulation-linearization technique: results, counterexamples, and computationsDiscrete Applied Mathematics, 2000
- Combinatorial Optimization2000
- A Lagrangian Approach to the Pooling ProblemIndustrial & Engineering Chemistry Research, 1999
- A global optimization method, αBB, for general twice-differentiable constrained NLPs — I. Theoretical advancesComputers & Chemical Engineering, 1998
- A Reduced Space Branch and Bound Algorithm for Global optimizationJournal of Global Optimization, 1997
- Global optimization of nonconvex NLPs and MINLPs with applications in process designComputers & Chemical Engineering, 1995
- A new reformulation-linearization technique for bilinear programming problemsJournal of Global Optimization, 1992
- Jointly Constrained Biconvex ProgrammingMathematics of Operations Research, 1983
- Computability of global solutions to factorable nonconvex programs: Part I — Convex underestimating problemsMathematical Programming, 1976