This study proposes a quadratic programming-based torque allocation strategy for four-wheel independently driven EVs to enhance stability under complex conditions. A multi-objective optimization model ...

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 article gives a reformulation of the simplex method for quadratic programming having the advantage of generating tableaux with certain symmetry properties. It is proved that this method gives the ...

The quadratically constrained quadratic programming (QCQP) problems have a wide range of applications and been intensively studied in the fields of information science, control and automation ...

Quadratic-equations Solving quadratic equations using the Java programming language. The quadratic.java program asks the user for the coefficients of the quadratic equation, passes them to the method ...

We use a Sequential Quadratic Programming algorithm to solve nonlinear subproblems. We assess our approach on a real-life hydroelectric configuration extracted from the south sub region of the ...

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 ...