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Proximal Splitting Algorithms for Convex Optimization: A Tour of Recent Advances, with New Twists.
Laurent Condat
Daichi Kitahara
Andrés Contreras
Akira Hirabayashi
Published in:
SIAM Rev. (2023)
Keyphrases
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recent advances
convex optimization
convex optimization problems
field of pattern recognition
interior point
low rank
operator splitting
learning algorithm
objective function
natural images
high order
total variation
computationally intensive
primal dual
convex relaxation