Coupled-decompositions: exploiting primal–dual interactions in convex optimization problems

EURASIP Journal on Advances in Signal Processing ◽

10.1186/1687-6180-2013-41 ◽

2013 ◽

Vol 2013 (1) ◽

Author(s):

Antoni Morell ◽

José López Vicario ◽

Gonzalo Seco-Granados

Keyword(s):

Convex Optimization ◽

Optimization Problems ◽

Convex Optimization Problems ◽

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Efficient primal–dual fixed point algorithms with dynamic stepsize for composite convex optimization problems

Multidimensional Systems and Signal Processing ◽

10.1007/s11045-018-0615-z ◽

2018 ◽

Vol 30 (3) ◽

pp. 1531-1544

Author(s):

Meng Wen ◽

Yuchao Tang ◽

Angang Cui ◽

Jigen Peng

Keyword(s):

Fixed Point ◽

Convex Optimization ◽

Optimization Problems ◽

Convex Optimization Problems ◽

Fixed Point Algorithms ◽

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On the convergence rate of a forward-backward type primal-dual splitting algorithm for convex optimization problems

Optimization ◽

10.1080/02331934.2014.966306 ◽

2014 ◽

Vol 64 (1) ◽

pp. 5-23 ◽

Author(s):

Radu Ioan Boţ ◽

Ernö Robert Csetnek

Keyword(s):

Convex Optimization ◽

Convergence Rate ◽

Optimization Problems ◽

Splitting Algorithm ◽

Convex Optimization Problems ◽

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Inertial accelerated primal-dual methods for linear equality constrained convex optimization problems

Numerical Algorithms ◽

10.1007/s11075-021-01246-y ◽

2022 ◽

Author(s):

Xin He ◽

Rong Hu ◽

Ya-Ping Fang

Keyword(s):

Convex Optimization ◽

Optimization Problems ◽

Convex Optimization Problems ◽

Constrained Convex Optimization ◽

Linear Equality ◽

Dual Methods ◽

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Generalization of Primal—Dual Interior-Point Methods to Convex Optimization Problems in Conic Form

Foundations of Computational Mathematics ◽

10.1007/s002080010009 ◽

2001 ◽

Vol 1 (3) ◽

pp. 229-254 ◽

Author(s):

Levent Tunçel

Keyword(s):

Convex Optimization ◽

Interior Point ◽

Interior Point Methods ◽

Optimization Problems ◽

Convex Optimization Problems ◽

Primal Dual ◽

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Primal-dual incremental gradient method for nonsmooth and convex optimization problems

Optimization Letters ◽

10.1007/s11590-021-01752-x ◽

2021 ◽

Author(s):

Afrooz Jalilzadeh

Keyword(s):

Convex Optimization ◽

Gradient Method ◽

Optimization Problems ◽

Convex Optimization Problems ◽

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Primal-dual subgradient method for constrained convex optimization problems

Optimization Letters ◽

10.1007/s11590-021-01728-x ◽

2021 ◽

Author(s):

Michael R. Metel ◽

Akiko Takeda

Keyword(s):

Convex Optimization ◽

Optimization Problems ◽

Subgradient Method ◽

Convex Optimization Problems ◽

Constrained Convex Optimization ◽

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Convergence Rates of Inertial Primal-Dual Dynamical Methods for Separable Convex Optimization Problems

SIAM Journal on Control and Optimization ◽

10.1137/20m1355379 ◽

2021 ◽

Vol 59 (5) ◽

pp. 3278-3301

Author(s):

Xin He ◽

Rong Hu ◽

Ya Ping Fang

Keyword(s):

Convex Optimization ◽

Convergence Rates ◽

Optimization Problems ◽

Convex Optimization Problems ◽

Separable Convex Optimization ◽

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Gradient-Free Two-Point Methods for Solving Stochastic Nonsmooth Convex Optimization Problems with Small Non-Random Noises

Автоматика и телемеханика ◽

10.31857/s000523100001245-3 ◽

2018 ◽

pp. 38-49

Author(s):

Anastasya Bayandina ◽

◽

Aleksandr Gasnikov ◽

Anastasya Lagunovskaya ◽

◽

...

Keyword(s):

Convex Optimization ◽

Optimization Problems ◽

Nonsmooth Convex Optimization ◽

Convex Optimization Problems

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Status determination by interior-point methods for convex optimization problems in domain-driven form

Mathematical Programming ◽

10.1007/s10107-021-01663-w ◽

2021 ◽

Author(s):

Mehdi Karimi ◽

Levent Tunçel

Keyword(s):

Convex Optimization ◽

Interior Point ◽

Interior Point Methods ◽

Optimization Problems ◽

Convex Optimization Problems

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On the transient growth of Nesterov’s accelerated method for strongly convex optimization problems

2020 59th IEEE Conference on Decision and Control (CDC) ◽

10.1109/cdc42340.2020.9304412 ◽

2020 ◽

Author(s):

Samantha Samuelson ◽

Hesameddin Mohammadi ◽

Mihailo R. Jovanovic

Keyword(s):

Convex Optimization ◽

Optimization Problems ◽

Transient Growth ◽

Strongly Convex ◽

Convex Optimization Problems ◽

Strongly Convex Optimization

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