On Some Properties of Quadratic Programs with a Convex Quadratic Constraint
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Summary
It is shown that given a KKT point that is not a global minimizer, it is easy to find a "better" feasible point; and strict complementarity holds at the local-nonglobal minimizer.
- Type
- article
- Published
- 1998-02-01
- Cited by
- 52
- References
- 39
- OpenAlex
- https://openalex.org/W1991638696
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:16991741
Keywords
Karush–Kuhn–Tucker conditions, Mathematics, Piecewise, Quadratic equation, Quartic function
References
- Proving Polynomial-Time for Sphere-Constrained Quadratic Programming
- On the use of directions of negative curvature in a modified newton method
- An Interior-Point Approach to NP-Complete Problems
- Fast algorithms for convex quadratic programming and multicommodity flows
- A differentiable exact penalty function for bound constrained quadratic programming problems
- Newton's method with a model trust region modification
- Lanczos algorithms for large symmetric eigenvalue computations
- An extension of Karmarkar's projective algorithm for convex quadratic programming
- A semidefinite framework for trust region subproblems with applications to large scale minimization
- Truncated-newtono algorithms for large-scale unconstrained optimization
- Direct Methods for Solving Symmetric Indefinite Systems of Linear Equations
- On the Stationary Values of a Second-Degree Polynomial on the Unit Sphere
- A truncated Newton method with nonmonotone line search for unconstrained optimization
- A multiplier method with automatic limitation of penalty growth
- On the solution of a two ball trust region subproblem
- Exact penalty functions in constrained optimization
- Local Minimizers of Quadratic Functions on Euclidean Balls and Spheres
- A nonmonotone line search technique for Newton's method
- Algorithms for the solution of quadratic knapsack problems
- Computing a Trust Region Step for a Penalty Function
Cited by
- SPG: Software for Convex-Constrained Optimization
- A Branch and Bound Method via d.c. Optimization Algorithms and Ellipsoidal Technique for Box Constrained Nonconvex Quadratic Problems
- Matrix pencils and existence conditions for quadratic programming with a sign-indefinite quadratic equality constraint
- A Combined D.C. Optimization—Ellipsoidal Branch-and-Bound Algorithm for Solving Nonconvex Quadratic Programming Problems
- Trust Region Subproblem with a Fixed Number of Additional Linear Inequality Constraints has Polynomial Complexity
- An Exact Algorithm for Quadratic Integer Minimization using Nonconvex Relaxations
- Box-constrained maximum-likelihood detection in CDMA
- Coderivatives of a Karush–Kuhn–Tucker point set map and applications
- Stability of Linear-Quadratic Minimization over Euclidean Balls
- Nonmonotone Spectral Projected Gradient Methods on Convex Sets
- Algorithm 813: SPG—Software for Convex-Constrained Optimization
- Quartic Formulation of Standard Quadratic Optimization Problems
- Convergence of Pham Dinh–Le Thi’s algorithm for the trust-region subproblem
- Computing the Local-Nonglobal Minimizer of a Large Scale Trust-Region Subproblem
- Ellipsoidal Approach to Box-Constrained Quadratic Problems
- TRUST-REGION-BASED METHODS FOR NONLINEAR PROGRAMMING: RECENT ADVANCES AND PERSPECTIVES
- A D.C. Optimization Algorithm for Solving the Trust-Region Subproblem
- Behavior of DCA sequences for solving the trust-region subproblem
- A New Matrix-Free Algorithm for the Large-Scale Trust-Region Subproblem
- On the ill-posedness of the trust region subproblem
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