This paper formulates the mask optimization problem as a 0-1 convex Quadratically Constrained Quadratic Programming (0-1 QCQP) problem, aiming to maximize tolerance under fidelity constraints. We ...

In the field of signal processing, many problems can be formulated as optimization problems. And most of these optimization problem can be further described in a formal form, that is binary quadratic ...

This paper is concerned with the solution of linearly constrained zero-one quadratic programming problems. Problems of this kind arise in numerous economic, location decision, and strategic planning ...

The two quadratic programming schemes of the left and right arms are then integrated into a standard quadratic programming problem constrained by an equality constraint and a bound constraint. As a ...

YI ZHANG, LIWEI ZHANG, JIA WU, JIANZHONG ZHANG, A PERTURBATION APPROACH FOR AN INVERSE QUADRATIC PROGRAMMING PROBLEM OVER SECOND-ORDER CONES, Mathematics of Computation, Vol. 84, No. 291 (JANUARY 2015 ...

Quadratic programming has a variety of applications, such as resource planning, portfolio optimization, and structural analysis. Download this technical whitepaper on the sparse convex quadratic ...

The DATA= data set enables you to specify data shared by all functions involved in a least squares problem. The INQUAD= data set contains the arrays appearing in a quadratic programming problem. The ...

By applying quadratic programming in four optimization models, this paper demonstrates how a nutritionally adequate, healthy, and low-GHGE diet can be composed for the adult Danish population, while ...