In this paper, a new algorithm, namely, a reduced Hessian sequential quadratic programming (SQP) method, for solving electromagnetic inverse problems is proposed. The electromagnetic inverse problem ...

Sequential-Quadratic-Programming-method-Implementation-in-Matlab A SQP algorithm implementation for solving nonlinear constrained optimization problems. Summary of Steps for SQP Algorithm Make a QP ...

A sequential quadratic programming (SQP) method is presented that aims to overcome some of the drawbacks of contemporary SQP methods. It avoids the difficulties associated with indefinite quadratic ...

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 ...

ABSTRACT: This study presents a hybrid algorithm obtained by combining a genetic algorithm (GA) with successive quadratic sequential programming (SQP), namely GA-SQP. GA is the main optimizer, whereas ...

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

Add a description, image, and links to the sequential-quadratic-programming topic page so that developers can more easily learn about it ...

J. L. Morales, J. Nocedal and Y. Wu, “A Sequential Quadratic Programming Algorithm with an Additional Equality Constrained Phase,” IMA Journal of Numerical ...

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), ...