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Cluster: Nonsmooth optimization


10:30 - 12:00, room: H 1012

Chair: Alain Pietrus
Iterative methods for variational analysis

Jean-Alexis The second order generalized derivative and generalized equations [...]
Baier Set-valued Newton's method for computing convex invariant sets [...]
Farkhi The directed subdifferential and applications [...]


13:15 - 14:45, room: H 1012

Chair: Juan Peypouquet
Constrained variational inequalities: Approximation and numerical resolution

Peypouquet Lagrangian-penalization algorithm for constrained optimization and variational inequalities [...]
Garcia Ramos Representable monotone operators and limits of sequences of maximal monotone operators [...]
Alvarez A strictly feasible Bundle method for solving convex nondifferentiable minimization problems under second-order constraints [...]


15:15 - 16:45, room: H 1012

Chair: Gabriel Peyré
Nonsmooth optimization in imaging sciences I

Peyré A review of proximal splitting methods with a new one [...]
Pock On parameter learning in variational models [...]
Cevher Nonconvex models with exact and approximate projections for constrained linear inverse problems [...]




10:30 - 12:00, room: H 1012

Chair: Dirk Lorenz
Nonsmooth optimization in imaging sciences II

goldman Continuous primal-dual methods for image processing [...]
Helou Incremental subgradients for constrained convex optimization: A unified framework and new methods [...]
Fehrenbach Stripes removal in images, applications in microscopy [...]


13:15 - 14:45, room: H 1012

Chair: Alain Pietrus
Nonsmooth optimization methods

Pietrus Some methods for solving perturbed variational inclusions [...]
Hendrich A double smoothing technique for solving nondifferentiable convex optimization problems [...]
Gustavsson Primal convergence from dual subgradient methods for convex optimization [...]


15:15 - 16:45, room: H 1012

Chair: Anatoli Juditsky
Large-scale structured optimization

Nemirovski Randomized first-order algorithms for bilinear saddle point problems and their applications to l1 minimization [...]
Shpirko Primal-dual subgradient method for huge-scale conic optimization problems and its applications in structural design [...]




10:30 - 12:00, room: H 1012

Chair: Marc Teboulle
Recent advances in optimization methods

Bolte Forward-backward splitting and other descent methods for semi-algebraic minimization problems [...]
Beck The 2-coordinate descent method for solving double-sided simplex constrained minimization problems [...]
Teboulle Nonsmooth convex minimization: To smooth or not to smooth? [...]


13:15 - 14:45, room: H 1012

Chair: Amirhossein Sadoghi
Applications of nonsmooth optimization

Strömberg Lagrangian optimization for inconsistent linear programs [...]
Xavier The continuous multiple allocation p-hub median problem solving by the hyperbolic smoothing approach: Computational performance [...]
Sadoghi Piecewise monotonic regression algorithm for problems comprising seasonal and monotonic trends [...]


15:15 - 16:45, room: H 1012

Chair: Nina Ovcharova and Julian Revalski
Variational methods in optimization

Ovcharova Second-order analysis of the Moreau-Yosida and the Lasry-Lions regularizations [...]




10:30 - 12:00, room: H 1012

Chair: Waltraud Huyer
Nonsmooth optimization theory

Wickström Generalized derivatives of the projection onto the cone of positive semidefinite matrices [...]
Zemkoho Optimization problems with value function objectives [...]
Huyer Minimizing functions containing absolute values of variables [...]


13:15 - 14:45, room: H 1012

Chair: Hasnaa Zidani
Policy iteration algorithms and some applications

Zidani Some convergence results for the policy iterations algorithm. [...]
Witte Penalty methods for the solution of discrete HJB equations - continuous control and obstacle problems [...]
Gaubert Policy iteration algorithm for zero-sum stochastic games with mean payoff [...]


15:15 - 16:45, room: H 1012

Chair: Robert Mifflin
Algorithms for nonsmooth optimization

Mifflin A first step in designing a VU-algorithm for nonconvex minimization [...]
Oliveira Exploring accuracy and geometry in level bundle methods [...]
Ouorou Specialized proximal Chebychev center cutting plane algorithm for convex additive functions [...]




10:30 - 12:00, room: H 1012

Chair: Jean-Louis Goffin
Topics in nonsmooth nonconvex optimization

Freire Interior epigraph directions method for nonsmooth and nonconvex optimization via generalized augmented Lagrangian duality [...]
Ahmad Optimality conditions in nondifferentiable multiobjective fractional programming [...]
Goffin Solving unconstrained nonconvex programs with ACCPM [...]


13:15 - 14:45, room: H 1012

Chair: Dominikus Noll
Nonsmooth optimization and applications

Noll Non-convex bundle algorithm with inexact sub-gradient and function values [...]
Fischer An asynchronous parallel bundle method for Lagrangian relaxation [...]



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