Abstract: There are many applications related to parametric quadratic programming. The parametric quadratic programming problem causes much more computation than the common quadratic programming ...

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 ...

The aim of this paper is to propose an algorithm to solve and enhance a multi-level multi-objective integer quadratic programming problem (MLMOIQPP) under a single-valued Pentagonal Neutrosophic ...

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 ...

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 ...

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 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 ...

How to solve linear programming and quadratic programming with inequality constraint only? For LP, I tried to use OSQP and pass the objective as (None, -c), the equality constraint as (None, None), ...