A mesh-independence principle for operator equations and their discretizations
SIAM Journal on Numerical Analysis
Mixed and hybrid finite element methods
Mixed and hybrid finite element methods
Integral equations: theory and numerical treatment
Integral equations: theory and numerical treatment
Augmented Lagrangian--SQP Methods for Nonlinear OptimalControl Problems of Tracking Type
SIAM Journal on Control and Optimization
Mesh-Independence for an Augmented Lagrangian-SQP Method in Hilbert Spaces
SIAM Journal on Control and Optimization
Optimization by Vector Space Methods
Optimization by Vector Space Methods
Distributed Control Problems for the Burgers Equation
Computational Optimization and Applications
Computational Optimization and Applications
A genetic algorithm based augmented Lagrangian method for constrained optimization
Computational Optimization and Applications
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In this paper optimal control problems for the stationary Burgers equation are analyzed. To solve the optimal control problems the augmented Lagrangian-SQP method is applied. This algorithm has second-order convergence rate depending upon a second-order sufficient optimality condition. Using piecewise linear finite elements it is proved that the discretized augmented Lagrangian-SQP method is well-defined and has second-order rate of convergence. This result is based on the proof of a uniform discrete Babuška-Brezzi condition and a uniform second-order sufficient optimality condition.