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On the indefinite quadratic bilevel programming problem
OPSEARCH, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alemayehu, Getinet +2 more
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On the stability of solutions to quadratic programming problems
Mathematical Programming, 2001The paper deals with a class of parametric optimization problems of minimizing a quadratic objective function (which, in general, is not convex) subject to a finite number of linear constraints. Here, the real parameter vector consists of the matrix of the objective function as well as of all linear coefficients describing the problem under ...
Hoang Xuan Phu, Nguyen Dong Yen
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Fuzzy costs in quadratic programming problems
Fuzzy Optimization and Decision Making, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ricardo C. Silva +2 more
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The Indefinite Quadratic Programming Problem
Operations Research, 1979We develop several algorithms that obtain the global optimum to the indefinite quadratic programming problem. A generalized Benders cut method is employed. These algorithms all possess ϵ-finite convergence. To obtain finite convergence, we develop exact cuts, which are locally precise representations of a reduced objective.
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A class of continuous quadratic programming problems
Unternehmensforschung Operations Research - Recherche Opérationnelle, 1970The present paper deals with some duality relations of a class of continuous quadratic programming problems. The analysis is developed by use of technique ofDorn for quadratic programming problems.
N. K. Gogia, R. P. Gupta
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A class of differential quadratic programming problems
Applied Mathematics and Computation, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xing Wang 0004 +2 more
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Quadratic Programming Problems
1999In this chapter nonconvex quadratic programming test problems are considered. These test problems have a quadratic objective function and linear constraints. Quadratic programming has numerous applications (Pardalos and Rosen (1987), Floudas and Visweswaran (1995)) and plays an important role in many nonlinear programming methods.
Christodoulos A. Floudas +8 more
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On Copositive Programming and Standard Quadratic Optimization Problems
Journal of Global Optimization, 2000The authors consider quadratic optimization problems of the form \[ x^TAx\to \text{maximum subject to }x\in\Delta \] where \(A\) is an arbitrary symmetric \(n\times n\) matrix and \(\Delta\) is the standard simpiex in the \(n\)-dimensional Euclidean space \(\mathbb{R}^n\), \(\Delta= \{x\in R^n_+: e^Tx=1\}\).
Immanuel M. Bomze +5 more
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The exact solution of multiparametric quadratically constrained quadratic programming problems
Journal of Global Optimization, 2020The authors consider a multiparametric optimization problem with a convex quadratic objective function, quadratic inequality and linear equality constraints. This type of problem is closely related to several uncertainty issues. Using the so-called basic sensitivity theorem and by applying a corresponding active-index-set strategy, they determine the ...
Iosif Pappas +2 more
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