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
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
Journal title :
Journal of Computational and Applied Mathematics
