Numerical Optimization at Big-Level |

Raj Singh in Journal of Advances in Science and Technology | Science & Technology


Here we consider sequential quadraticprogramming methods (SQP methods) for the general optimization problem As with the BCL and LCL approaches, SQPmethods use a sequence of subproblems to _nd estimates  that reduce certain augmented Lagrangians. Animportant function of the subproblems is to estimate which inequalities in  are active. Rather many iterations (calledminor iterations) may be needed to solve each subproblem.


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