Search Results - extended primal-dual algorithm framework

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  1. 1

    An Extended Primal-Dual Algorithm Framework for Nonconvex Problems: Application to Image Reconstruction in Spectral CT by Gao, Yu, Pan, Xiaochuan, Chen, Chong

    ISSN: 0266-5611
    Published: England 01.08.2022
    Published in Inverse problems (01.08.2022)
    “…Using the convexity of each component of the forward operator, we propose an extended primal-dual algorithm framework for solving a kind of nonconvex and probably nonsmooth optimization problems…”
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    Journal Article
  2. 2

    An Extended Primal-Dual Algorithm Framework for Nonconvex Problems with Application to Nonlinear Imaging by Gao, Yu, Pan, Xiaochuan, Chen, Chong

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 15.09.2021
    Published in arXiv.org (15.09.2021)
    “…We propose an extended primal-dual algorithm framework for solving a general nonconvex optimization model…”
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    Paper
  3. 3

    Generalization of Primal--Dual Interior-Point Methods to Convex Optimization Problems in Conic Form by Tunçel, Levent

    ISSN: 1615-3375, 1615-3383
    Published: New York Springer Nature B.V 01.07.2001
    Published in Foundations of computational mathematics (01.07.2001)
    “… Previously, the most comprehensive theory of symmetric primal--dual interior-point algorithms was given by Nesterov and Todd for feasible regions expressed as the intersection of a symmetric cone…”
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    Journal Article
  4. 4

    Randomized PrimalDual Proximal Block Coordinate Updates by Gao, Xiang, Xu, Yang-Yang, Zhang, Shu-Zhong

    ISSN: 2194-668X, 2194-6698
    Published: Beijing Operations Research Society of China 01.06.2019
    “… The framework includes several existing algorithms as special cases such as a primaldual method for bilinear saddle-point problems (PD…”
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    Journal Article
  5. 5

    Primal-Dual Decomposed State Estimation for Multi-Energy Systems Leveraging Variational Bayesian Approximation by Feng, Yue, Levi, Victor, Cetenovic, Dragan, Zhao, Junbo, Taylor, Phil C., Terzija, Vladimir

    ISSN: 1949-3053, 1949-3061
    Published: Piscataway IEEE 01.05.2024
    Published in IEEE transactions on smart grid (01.05.2024)
    “… The SE Kalman filter framework is extended to allow the application of the primal-dual decomposed constrained optimization…”
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    Journal Article
  6. 6

    Routing and Spectrum Allocation in Spectrum-Sliced Elastic Optical Path Networks: A Primal-Dual Framework by Wang, Yang, Li, Chaoyang, Hu, Qian, Flor, Jabree, Jalalitabar, Maryam

    ISSN: 2079-9292, 2079-9292
    Published: Basel MDPI AG 01.11.2021
    Published in Electronics (Basel) (01.11.2021)
    “…) bandwidth to address the traffic explosion, while bearing other inherent advantages including enhanced signal quality and extended reachability…”
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    Journal Article
  7. 7

    A simple primaldual method for total variation image restoration by Zhang, Benxin, Zhu, Zhibin, Wang, Shuo

    ISSN: 1047-3203, 1095-9076
    Published: Elsevier Inc 01.07.2016
    “…•The algorithm is easy to extended to work on more general total variation image problems. In this study we propose a simple primal…”
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    Journal Article
  8. 8
  9. 9

    Mean Square Stability Criterion for Power Systems Under Stochastic Continuous Disturbances by Yang, Yuerong, Lin, Shunjiang, Yang, Ziqing, Liu, Mingbo, Li, Qifeng

    ISSN: 0885-8950, 1558-0679
    Published: New York IEEE 01.05.2024
    Published in IEEE transactions on power systems (01.05.2024)
    “…) based on nonlinear state equations. Under the framework of SDEs, a criterion for determining the mean square stability of a power system under SCDs is proposed, and it is proved that the proposed stability criterion is a necessary…”
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    Journal Article
  10. 10

    A Two-Stage Decomposition Approach for AC Optimal Power Flow by Tu, Shenyinying, Wachter, Andreas, Wei, Ermin

    ISSN: 0885-8950, 1558-0679
    Published: New York IEEE 01.01.2021
    Published in IEEE transactions on power systems (01.01.2021)
    “…The alternating current optimal power flow (AC-OPF) problem is critical to power system operations and planning, but it is generally hard to solve due to its…”
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    Journal Article
  11. 11

    Comparison of Proximal First-Order Primal and Primal-Dual Algorithms via Performance Estimation by Bousselmi, Nizar, Pustelnik, Nelly, Hendrickx, Julien M., Glineur, Francois

    ISSN: 2076-1465
    Published: European Association for Signal Processing - EURASIP 26.08.2024
    “… Our analysis is then extended and evaluated in the context of the primal-dual Chambolle-Pock and Condat-Vũ methods…”
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    Conference Proceeding
  12. 12

    A Framework for Fast Image Deconvolution With Incomplete Observations by Simoes, Miguel, Almeida, Luis B., Bioucas-Dias, Jose, Chanussot, Jocelyn

    ISSN: 1057-7149, 1941-0042, 1941-0042
    Published: United States IEEE 01.11.2016
    Published in IEEE transactions on image processing (01.11.2016)
    “… of artifacts in the enhanced images. In this paper, we propose a new deconvolution framework for images with incomplete observations that allows us to work with diagonalized convolution operators, and therefore is very fast…”
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    Journal Article
  13. 13

    A Two-Stage Decomposition Approach for AC Optimal Power Flow by Tu, Shenyinying, Wachter, Andreas, Wei, Ermin

    ISSN: 0885-8950, 1558-0679
    Published: United States IEEE 12.06.2020
    Published in IEEE transactions on power systems (12.06.2020)
    “…The alternating current optimal power flow (AC-OPF) problem is critical to power system operations and planning, but it is generally hard to solve due to its…”
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    Journal Article
  14. 14

    Comparison of Proximal First-Order Primal and Primal-Dual algorithms via Performance Estimation by Bousselmi, Nizar, Pustelnik, Nelly, Hendrickx, Julien M, Glineur, François

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 15.03.2024
    Published in arXiv.org (15.03.2024)
    “… Our analysis is then extended and evaluated in the context of the primal-dual Chambolle-Pock and Condat-Vũ methods…”
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    Paper
  15. 15

    Online Primal-Dual Algorithms with Predictions for Packing Problems by Nguyen, Kim Thang, Durr, Christoph

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 01.10.2021
    Published in arXiv.org (01.10.2021)
    “…), clustering, ski rental, etc. Recently, Bamas et al., aiming for an unified method, have provided a primal-dual framework for linear covering problems…”
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    Paper
  16. 16

    Primal-Dual Projected Gradient Algorithms for Extended Linear-Quadratic Programming by Zhu, Ciyou, Rockafellar, R. T.

    ISSN: 1052-6234, 1095-7189
    Published: Philadelphia Society for Industrial and Applied Mathematics 01.11.1993
    Published in SIAM journal on optimization (01.11.1993)
    “…Many large-scale problems in dynamic and stochastic optimization can be modeled with extended linear-quadratic programming, which admits penalty terms and treats them through duality…”
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    Journal Article
  17. 17

    Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization by Kiran Koshy Thekumparampil, He, Niao, Oh, Sewoong

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 19.01.2022
    Published in arXiv.org (19.01.2022)
    “…\) are the corresponding smoothness and strongly convexity constants. We close this gap by devising the first optimal algorithm, the Lifted Primal-Dual (LPD) method…”
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    Paper
  18. 18

    Randomized Primal-Dual Proximal Block Coordinate Updates by Gao, Xiang, Xu, Yangyang, Zhang, Shuzhong

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 24.01.2017
    Published in arXiv.org (24.01.2017)
    “… The framework includes several existing algorithms as special cases such as a primal-dual method for bilinear saddle-point problems (PD…”
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    Paper
  19. 19

    Towards the Randomized k-Server Conjecture: A Primal-Dual Approach (Extended Abstract) by Bansal, Nikhil, Buchbinder, Niv, Naor, Joseph (Seffi)

    Published: Philadelphia Society for Industrial and Applied Mathematics 01.01.2010
    “… Their results are based on an extension of the primal-dual framework for online algorithms developed by Buchbinder and Naor. They also give an alternate primal-dual approach to design regret minimization algorithms for the problem of online prediction with expert advice…”
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    Conference Proceeding
  20. 20

    Gradient-domain image decomposition for image recovery by Watanabe, Makoto, Kyochi, Seisuke, Ono, Shunsuke

    Published: IEEE 01.09.2015
    “… This paper gives a general perspective: the TGV can be regarded as a GID and thus can be extended to more general formulation…”
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    Conference Proceeding