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Numerical Experience with Sequential Quadratic Programming Algorithms for Equality Constrained Nonlinear Programming

ACM Transactions on Mathematical Software (TOMS) (1989) 15(1) 49-63
DOI: 10.1145/62038.62040
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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. © 1989, ACM. All rights reserved.

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Shanno, D. F., & Phua, K. H. (1989). Numerical Experience with Sequential Quadratic Programming Algorithms for Equality Constrained Nonlinear Programming. ACM Transactions on Mathematical Software (TOMS), 15(1), 49–63. https://doi.org/10.1145/62038.62040

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