Global minimization of difference of quadratic and convex functions over box or binary constraints
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Publication:928298
DOI10.1007/s11590-007-0053-6zbMath1161.90465OpenAlexW1968742153MaRDI QIDQ928298
Vaithilingam Jeyakumar, Nguyen Quang Huy
Publication date: 11 June 2008
Published in: Optimization Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11590-007-0053-6
concave minimizationnecessary optimality conditionsbox constraintssufficient conditions0/1 constraintsquadratic non-convex minimization
Nonconvex programming, global optimization (90C26) Optimality conditions and duality in mathematical programming (90C46)
Related Items (8)
Global optimality conditions for nonconvex minimization problems with quadratic constraints ⋮ Kuhn-Tucker sufficiency for global minimum of multi-extremal mathematical programming problems ⋮ Global optimality conditions for fixed charge quadratic programs ⋮ Optimality Conditions for the Minimization of Quadratic 0-1 Problems ⋮ Global optimality conditions for cubic minimization problems with cubic constraints ⋮ Optimization methods for mixed integer weakly concave programming problems ⋮ Global optimality conditions for quadratic \(0-1\) optimization problems ⋮ Unified global optimality conditions for smooth minimization problems with mixed variables
Cites Work
- Unnamed Item
- Sufficient global optimality conditions for bivalent quadratic optimization
- Quadratic \(0/1\) optimization and a decomposition approach for the placement of electronic circuits
- Necessary and sufficient global optimality conditions for convex maximization revisited
- A note on diagonally dominant matrices
- Computational experience with a new class of convex underestimators: Box-constrained NLP problems
- Global optimality conditions in maximizing a convex quadratic function under convex quadratic constraints
- Optimization in computational chemistry and molecular biology. Local and global approaches. Conference, Princeton Univ., Princeton, NJ, USA, May 7--9, 1999
- Sufficient global optimality conditions for non-convex quadratic minimization problems with box constraints
- Iterative convex quadratic approximation for global optimization in protein docking
- Nonconvex piecewise-quadratic underestimation for global minimization
- A new class of improved convex underestimators for twice continuously differentiable constrained NLPs
- Computational aspects of a branch and bound algorithm for quadratic zero- one programming
- Global Optimality Conditions for Quadratic Optimization Problems with Binary Constraints
- Lectures on Modern Convex Optimization
- A continuous approch for globally solving linearly constrained quadratic
- Sufficient global optimality conditions for multi-extremal smooth minimisation problems with bounds and linear matrix inequality constraints
- CONDITIONS FOR GLOBAL OPTIMALITY OF QUADRATIC MINIMIZATION PROBLEMS WITH LMI CONSTRAINTS
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