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 ...

Abstract: This paper proposes a hybrid quadratic programming and compact formulation method (HQPCF) to solve the nonconvex economic dispatch (ED) problem with prohibited operating zones (POZs) and ...

Abstract: By selecting an appropriate transformation of the ariables in quadratic programming problems with equality constraints, a lower order recurrent neural network for solving higher quadratic ...

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 ...

This project implements a Support Vector Machine (SVM) using the Radial Basis Function (RBF) kernel to classify digits (0 and 1) from the MNIST dataset. The classifier is optimized through solving the ...

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 ...

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 ...

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 ...