Dual techniques for constrained optimization
Journal of Optimization Theory and Applications
Updating the inverse of a matrix
SIAM Review
SIAM Journal on Numerical Analysis
Analysis and implementation of a dual algorithm for constrained optimization
Journal of Optimization Theory and Applications
Iterative solution methods
Domain decomposition with nonmatching grids: augmented Lagrangian approach
Mathematics of Computation
Matrix computations (3rd ed.)
Computational Optimization and Applications
Large-Scale Active-Set Box-Constrained Optimization Method with Spectral Projected Gradients
Computational Optimization and Applications
Computational Optimization and Applications
Scalability and FETI based algorithm for large discretized variational inequalities
Mathematics and Computers in Simulation - MODELLING 2001 - Second IMACS conference on mathematical modelling and computational methods in mechanics, physics, biomechanics and geodynamics
Numerical Comparison of Augmented Lagrangian Algorithms for Nonconvex Problems
Computational Optimization and Applications
Computational Optimization and Applications
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In this paper we introduce an augmented Lagrangian type algorithm forstrictly convex quadratic programming problems with equalityconstraints. The new feature of the proposed algorithm is theadaptive precision control of the solution of auxiliary problems inthe inner loop of the basic algorithm. Global convergence andboundedness of the penalty parameter are proved and an error estimateis given that does not have any term that accounts for the inexactsolution of the auxiliary problems. Numerical experimentsillustrate efficiency of the algorithm presented