A SQP algorithm implementation for solving nonlinear constrained optimization problems - Releases · 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), ...

The DG rating, on the other hand, is formulated as a nonlinear optimization problem subject to highly nonlinear equality and inequality constraints. Sizing the DG optimally is performed using a ...

It is a generalization of the well-known sequential quadratic programming (SQP) method and considerslinear semidefinite subproblems that can be solved using standard interior point packages. Note that ...

In this paper we propose an efficient method based on the sequential quadratic programming (SQP) algorithm for the pattern synthesis of planar antenna arrays with prescribed pattern nulls in the ...

Sequential quadratic programming (SQP) methods have proved highly effective for solving constrained optimization problems with smooth nonlinear functions in the objective and constraints. Here we ...

This paper presents a feedrate optimization for spline toolpaths, performed via two steps: Linear Programming (LP) to obtain a fast and approximate solution followed by Sequential Quadratic ...