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Quadratic convex reformulations for a class of complex quadratic programming problems

Computational Optimization and Applications
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Cheng Lu 0007   +3 more
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Reducing quadratic programming problem to regression problem: Stepwise algorithm

European Journal of Operational Research, 2005
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Dong Qian Wang   +2 more
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On the penalty approximation of quadratic programming problem

Kybernetika, 1991
Summary: An upper bound for the difference of the exact solution of the problem of minimization of quadratic functional on a subspace and its penalty approximation has been given. The paper is supplied with a numerical example.
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On Solvability of Convex Noncoercive Quadratic Programming Problems

Journal of Optimization Theory and Applications, 2009
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Sequential Quadratic Programming for Parameter Identification Problems

IFAC Proceedings Volumes, 1989
Abstract Sequential quadratic programming (SQP) is a technique for nonlinear equality constrained minimization problems, which, from the point of view of local convergence, is equivalent to finding a root of the gradient of the Lagrangian by Newton's method, if the second order sufficient conditions hold. For general, unstructured, finite dimensional
D.M. Hwang, C.T. Kelley
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Quadratic programming and combinatorial minimum weight product problems

Mathematical Programming, 2006
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Kern, Walter, Woeginger, Gerhard
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A Dynamic-Programming Bound for the Quadratic Assignment Problem

1999
The quadratic assignment problem (QAP) is the NP-complete optimization problem of assigning n facilities to n locations while minimizing certain costs. In practice, proving the optimality of a solution is hard even for moderate problem sizes with n ≅ 20. We present a new algorithm for solving the QAP.
Ambros Marzetta, Adrian Brüngger
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A Method for Solving the Indefinite Quadratic Programming Problem

Management Science, 1970
A method is developed for obtaining a solution to the quadratic programming problem with an indefinite quadratic objective function. A search procedure using gradient projection is the core of the method. However at each step an alternate direction to gradient projection is proposed and two methods are given to continue after the revised gradient ...
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An Iterative Algorithm for Fuzzy Quadratic Programming Problems

2006
This paper describes an interactive algorithm for fuzzy non linear programming problems. Based on some general results, an iterative algorithm is proposed, which modifies the admissible region in such a way as to increase at each step the global performance.
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Construction of test problems in quadratic bivalent programming

ACM Transactions on Mathematical Software, 1991
A method of constructing test problems for constrained bivalent quadratic programming is presented. For any feasible integer point for a given domain, the method generates quadratic functions whose minimum over the given domain occurs at the selected point.
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