Currently, MPAX supports linear programming (LP) and quadratic programming (QP), the foundational problems in mathematical programming. Future releases will expand support to include other problem ...

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 ...

Abstract: In this article, we solve the problem of monotone control theoretic splines. Monotone control theoretic splines have been solved only when the target system is the second-order integrator ...

An iteration of the sequential quadratically constrained quadratic programming method (SQCQP) consists of minimizing a quadratic approximation of the objective function subject to quadratic ...

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 ...

About An introductory implementation of a Stochastic Sequential Quadratic Programming (SQP) method for solving constrained and unconstrained optimization problems.

In this short note a sensitivity result for quadratic semidefinite programming is presented under a weak form of second order sufficient condition. Based on this result, also the local convergence of ...