
doi: 10.1137/0722002
The author analyzes approximations to the multiplier method for solving optimization problems. In particular, the effect of replacing the constrained problem by the unconstrained optimization of a penalized Lagrangian over a subspace instead of a Hilbert space, is considered. Some applications to nonlinear optimal control are discussed.
Galerkin approximation, Numerical optimization and variational techniques, penalized Lagrangian, Hilbert space, Numerical methods involving duality, equality constrained optimization problem
Galerkin approximation, Numerical optimization and variational techniques, penalized Lagrangian, Hilbert space, Numerical methods involving duality, equality constrained optimization problem
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