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Home > Archives > Volume 20, No 8 (2022) > Article

DOI: 10.14704/nq.2022.20.8.NQ44918

Modifying SQP Method for Constrained Optimization

Elaf Sulaiman Khaleel, Eman T. Hamed

Abstract

We study a variant of SQP technology to find the optimal solution of nonlinear programing with the equality and inequality constrained optimization , Two techniques have been developed, the first is the derivation of a new approximation for the Hessian matrix, which has proven to be positively defined, and the second is was designed to take advantage of the structure present in the Hessian of the augmented Lagrangian function for problem and showed local superliner convergence and that at the minimizer x*

Keywords

augmented Lagrangian, SQP technology, constrained optimization

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