Proximal Algorithms for Multicomponent Image Recovery Problems
Journal of Mathematical Imaging and Vision
Full length article: Attouch-Théra duality revisited: Paramonotonicity and operator splitting
Journal of Approximation Theory
Fixed Points of Averages of Resolvents: Geometry and Algorithms
SIAM Journal on Optimization
A Monotone+Skew Splitting Model for Composite Monotone Inclusions in Duality
SIAM Journal on Optimization
Products of Finitely Many Resolvents of Maximal Monotone Mappings in Reflexive Banach Spaces
SIAM Journal on Optimization
Convergence and perturbation resilience of dynamic string-averaging projection methods
Computational Optimization and Applications
Higher-Order TV Methods--Enhancement via Bregman Iteration
Journal of Scientific Computing
A cyclic projected gradient method
Computational Optimization and Applications
Computational Optimization and Applications
A splitting algorithm for dual monotone inclusions involving cocoercive operators
Advances in Computational Mathematics
A derivative-free approximate gradient sampling algorithm for finite minimax problems
Computational Optimization and Applications
Homogeneous Penalizers and Constraints in Convex Image Restoration
Journal of Mathematical Imaging and Vision
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This book provides a largely self-contained account of the main results of convex analysis and optimization in Hilbert space. A concise exposition of related constructive fixed point theory is presented, that allows for a wide range of algorithms to construct solutions to problems in optimization, equilibrium theory, monotone inclusions, variational inequalities, best approximation theory, and convex feasibility. The book is accessible to a broad audience, and reaches out in particular to applied scientists and engineers, to whom these tools have become indispensable.