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A Lyapunov-type approach to convergence of the Douglas–Rachford algorithm for a nonconvex setting
Online Contents | 2018| -
Linear convergence of the generalized Douglas–Rachford algorithm for feasibility problems
Online Contents | 2018| -
Linear convergence of the generalized Douglas–Rachford algorithm for feasibility problems
Springer Verlag | 2018| -
A Lyapunov-type approach to convergence of the Douglas–Rachford algorithm for a nonconvex setting
Online Contents | 2018| -
A Lyapunov-type approach to convergence of the Douglas–Rachford algorithm for a nonconvex setting
Springer Verlag | 2018| -
Linear convergence of the generalized Douglas-Rachford algorithm for feasibility problems
Free accessArXiv | 2017| -
Linear convergence of the generalized Douglas–Rachford algorithm for feasibility problems
Online Contents | 2018| -
A Lyapunov-type approach to convergence of the Douglas-Rachford algorithm
Free accessArXiv | 2017| -
An adaptive splitting algorithm for the sum of two generalized monotone operators and one cocoercive operator
Free accessSpringer Verlag | 2021| -
Computing the resolvent of the sum of operators with application to best approximation problems
Springer Verlag | 2020| -
Computing the resolvent of the sum of operators with application to best approximation problems
Online Contents | 2019| -
Union Averaged Operators with Applications to Proximal Algorithms for Min-Convex Functions
Springer Verlag | 2018| -
Union Averaged Operators with Applications to Proximal Algorithms for Min-Convex Functions
Online Contents | 2018| -
Union Averaged Operators with Applications to Proximal Algorithms for Min-Convex Functions
Online Contents | 2018| -
Union Averaged Operators with Applications to Proximal Algorithms for Min-Convex Functions
Free accessArXiv | 2018| -
Adaptive Douglas-Rachford splitting algorithm for the sum of two operators
Free accessArXiv | 2018| -
Computing the resolvent of the sum of operators with application to best approximation problems
Free accessArXiv | 2018|
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