This is a preview. Log in through your library . Abstract We provide an abstract principle aimed at proving that classes of optimization problems are typically well posed in the sense that the ...

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 ...

can be solved by solving an equivalent linear complementarity problem when H is positive semidefinite. The approach is outlined in the discussion of the LCP subroutine in Chapter 17, "Language ...

Abstract: This paper considers the following type of quadratic programming problem. Given an arbitrary matrix A, whose diagonal elements are zero, find x /spl isin/ {-1, 1}/sup n/ such that x/sup T/Ax ...

The quadratic.java program asks the user for the coefficients of the quadratic equation, passes them to the method that solves the equation, and displays the result. We do not deal with exception ...

QIHD (Quantum-Inspired Hamiltonian Descent) is a quantum-inspired, GPU-enabled algorithmic framework for solving mixed-integer quadratic programming (MIQP) problems. MIQP is a classic optimization ...

ABSTRACT: Quadratic Programming (QP) is a mathematical modeling technique designed to optimize the usage of limited resources and has been widely applied to solve real world problems. In conventional ...