Numerical experience with sequential quadratic programming algorithms for equality constrained nonlinear programming

Numerical experience with sequential quadratic programming algorithms for equality constrained nonlinear programming

0.00 Avg rating0 Votes
Article ID: iaor19881245
Country: United States
Volume: 15
Issue: 1
Start Page Number: 49
End Page Number: 63
Publication Date: Mar 1989
Journal: ACM Trans Math Software
Authors: ,
Keywords: programming: quadratic
Abstract:

Computational experience is given for a sequential quadratic programming algorithm when Lagrange multiplier estimates, Hessian approximations and merit functions are varied to test for computational efficiency. Indications of areas for further research are given.

Reviews

Required fields are marked *. Your email address will not be published.