Further, the sequential quadratic program formulation naturally encompasses the constrained case, a notoriously difficult problem in the robotics community. Specifically, we show that it only requires ...

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

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 ...

A SQP algorithm implementation for solving nonlinear constrained optimization problems - koulouu/Sequential-Quadratic-Programming-method-Implementation-in-Matlab ...

Jérôme Bolte, Edouard Pauwels, Majorization-Minimization Procedures and Convergence of SQP Methods for Semi-Algebraic and Tame Programs, Mathematics of Operations Research, Vol. 41, No. 2 (May 2016), ...

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 ...

We discuss a technique based on genetic algorithm and sequential quadratic programming to determine the significant reactions and their corresponding rate constants. We consider two choices of ...