Lagrangian Penalization Scheme with Parallel Forward–Backward Splitting

We propose a new iterative algorithm for the numerical approximation of the solutions to convex optimization problems and constrained variational inequalities, especially when the functions and operators involved have a separable structure on a product space, and exhibit some dissymmetry in terms of...

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Bibliographic Details
Published in:	Journal of optimization theory and applications Vol. 177; no. 2; pp. 413 - 447
Main Authors:	Molinari, Cesare, Peypouquet, Juan
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.05.2018 Springer Nature B.V
Subjects:	Applications of Mathematics Calculus of Variations and Optimal Control; Optimization Computational fluid dynamics Computational geometry Convergence Convex analysis Convexity Engineering Iterative algorithms Iterative methods Mathematical models Mathematics Mathematics and Statistics Newtonian fluids Non Newtonian fluids Operations Research/Decision Theory Optimization Theory of Computation Forward–backward 49M37 Penalization Lagrange multipliers 90C25 Convex programming
ISSN:	0022-3239, 1573-2878
Online Access:	Get full text
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