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: Unconstrained binary quadratic programming problem (UBQP) consists in maximizing a quadratic 0-1 function. It is a well known NP-hard problem and is considered as a unified model for a ...

Abstract: This paper addresses the input-constrained LQR problem, i.e., the problem of finding the optimal control law for a linear system such that a quadratic cost functional over a horizon of ...

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 ...

The purpose of this paper is to present an algorithm for solving the quadratic binary programming problem. Although a problem with this structure may arise in many situations, it is particularly ...

Project Description The Center Generator Quadratic Optimization project provides implementations in both MATLAB and Python. The algorithm reads triangular mesh data, generates optimization matrices, ...

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 ...

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 ...