Artículos de revistas
Alternating forward–backward splitting for linearly constrained optimization problems
Fecha
2019Registro en:
18624480
18624472
10.1007/s11590-019-01388-y
Autor
Molinari, Cesare
Peypouquet, Juan
Roldan, Fernando
Institución
Resumen
© 2019, Springer-Verlag GmbH Germany, part of Springer Nature. We present an alternating forward–backward splitting method for solving linearly constrained structured optimization problems. The algorithm takes advantage of the separable structure and possibly asymmetric regularity properties of the objective functions involved. We also describe some applications to the study of non-Newtonian fluids and image reconstruction problems. We conclude with a numerical example, and its comparison with Condat’s algorithm. An acceleration heuristic is also briefly outlined.