Title of article
Sequential quadratic programming for large-scale nonlinear optimization
Author/Authors
Boggs، نويسنده , , Paul T. and Tolle، نويسنده , , Jon W.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2000
Pages
15
From page
123
To page
137
Abstract
The sequential quadratic programming (SQP) algorithm has been one of the most successful general methods for solving nonlinear constrained optimization problems. We provide an introduction to the general method and show its relationship to recent developments in interior-point approaches, emphasizing large-scale aspects.
Keywords
Sequential Quadratic Programming , nonlinear optimization , interior-point methods , Local , Trust-region methods convergence , global convergence , Newton methods
Journal title
Journal of Computational and Applied Mathematics
Serial Year
2000
Journal title
Journal of Computational and Applied Mathematics
Record number
1551225
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