Discover a continuous method for solving binary quadratic programming problems. Convert the original problem into an equivalent continuous optimization problem using NCP function. Explore the ...

In this paper, a quadratic programming model is considered, wherein all parameters and decision variables take values in intervals. Existence of optimal solution for this model with certain acceptable ...

ABSTRACT Quadratically constrained quadratic programming (QCQP) problems appear in a wide range of engineering fields, including computer science, communication engineering, and finance. A key ...

This paper describes a branch and bound algorithm for the global minimization of a quadratic objective function subject to quadratic constraints over a bounded interval. No assumptions are made ...

An example of the quadratic assignment problem (QAP) is the facility location problem, in which n facilities are assigned, at minimum cost, to n sites. Between each pair of facilities, there is a ...

Mixed-integer quadratic programming (MIQP) is the problem of optimizing a quadratic function over points in a polyhedral set where some of the components are restricted to be integral. In this paper, ...

The INQUAD= data set contains the arrays appearing in a quadratic programming problem. The INVAR= data set specifies initial values for the decision variables, the values of constants that are ...