Suchergebnisse - nonconvex optimisation algorithm

  1. 1

    Quantized Distributed Nonconvex Optimization Algorithms With Linear Convergence Under the Polyak-Łojasiewicz Condition von Xu, Lei, Yi, Xinlei, Sun, Jiayue, Shi, Yang, Johansson, Karl H., Yang, Tao

    ISSN: 0018-9286, 1558-2523
    Veröffentlicht: New York IEEE 01.10.2025
    Veröffentlicht in IEEE transactions on automatic control (01.10.2025)
    “… algorithms, respectively, we then propose two quantized distributed nonconvex optimization algorithms …”
    Volltext
    Journal Article
  2. 2

    Nonconvex spectral optimization algorithms for reduced‐order H∞ LPV‐LFT controllers von Shi, Ye, Tuan, Hoang D., Apkarian, Pierre

    ISSN: 1049-8923, 1099-1239
    Veröffentlicht: Bognor Regis Wiley Subscription Services, Inc 01.12.2017
    “… Summary A novel sequential semi‐definite programming method is developed for optimization subject to rank constraints on matrix …”
    Volltext
    Journal Article
  3. 3

    Penalty Dual Decomposition Method for Nonsmooth Nonconvex Optimization-Part I: Algorithms and Convergence Analysis von Shi, Qingjiang, Hong, Mingyi

    ISSN: 1053-587X, 1941-0476
    Veröffentlicht: New York IEEE 2020
    Veröffentlicht in IEEE transactions on signal processing (2020)
    “… Often there is a lack of efficient algorithms for these problems, especially when the optimization variables are nonlinearly coupled in some nonconvex constraints …”
    Volltext
    Journal Article
  4. 4

    Proximal gradient nonconvex optimization algorithm for the slice-based ℓ0-constrained convolutional dictionary learning von Li, Jing, Wei, Xiao, Li, Qiuhui, Zhang, Yali, Li, Ze, Li, Jin, Wang, Jinjia

    ISSN: 0950-7051, 1872-7409
    Veröffentlicht: Elsevier B.V 25.01.2023
    Veröffentlicht in Knowledge-based systems (25.01.2023)
    “… Convolutional dictionary learning (CDL) aims to learn a structured local convolutional dictionary and the sparse coefficient maps from the signals of various …”
    Volltext
    Journal Article
  5. 5

    Quantized Zeroth-Order Gradient Tracking Algorithm for Distributed Nonconvex Optimization Under Polyak-Łojasiewicz Condition von Xu, Lei, Yi, Xinlei, Deng, Chao, Shi, Yang, Chai, Tianyou, Yang, Tao

    ISSN: 2168-2267, 2168-2275, 2168-2275
    Veröffentlicht: United States IEEE 01.10.2024
    Veröffentlicht in IEEE transactions on cybernetics (01.10.2024)
    “… This article focuses on distributed nonconvex optimization by exchanging information between agents to minimize the average of local nonconvex cost functions …”
    Volltext
    Journal Article
  6. 6

    A parameterized Douglas–Rachford splitting algorithm for nonconvex optimization von Bian, Fengmiao, Zhang, Xiaoqun

    ISSN: 0096-3003, 1873-5649
    Veröffentlicht: Elsevier Inc 01.12.2021
    Veröffentlicht in Applied mathematics and computation (01.12.2021)
    “… We established the global convergence of PDR splitting method in a nonconvex setting. Moreover, we provide a convergence analysis for an adaptive DR algorithm in nonconvex settings as a byproduct …”
    Volltext
    Journal Article
  7. 7

    Perturbed proximal primal–dual algorithm for nonconvex nonsmooth optimization von Hajinezhad, Davood, Hong, Mingyi

    ISSN: 0025-5610, 1436-4646
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2019
    Veröffentlicht in Mathematical programming (01.07.2019)
    “… In this paper, we propose a perturbed proximal primal–dual algorithm (PProx-PDA) for an important class of linearly constrained optimization problems, whose …”
    Volltext
    Journal Article
  8. 8

    A Robust Coevolutionary Neural-Based Optimization Algorithm for Constrained Nonconvex Optimization von Wei, Lin, Jin, Long, Luo, Xin

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Veröffentlicht: United States IEEE 01.06.2024
    “… For nonconvex optimization problems, a routine is to assume that there is no perturbation when executing the solution task …”
    Volltext
    Journal Article
  9. 9

    Linear Convergence of First- and Zeroth-Order Primal-Dual Algorithms for Distributed Nonconvex Optimization von Yi, Xinlei, Zhang, Shengjun, Yang, Tao, Chai, Tianyou, Johansson, Karl H.

    ISSN: 0018-9286, 1558-2523, 1558-2523
    Veröffentlicht: New York IEEE 01.08.2022
    Veröffentlicht in IEEE transactions on automatic control (01.08.2022)
    “… This article considers the distributed nonconvex optimization problem of minimizing a global cost function formed by a sum of local cost functions by using local information exchange …”
    Volltext
    Journal Article
  10. 10

    Smoothing Iterative Consensus-based Optimization Algorithm for Nonsmooth Nonconvex Optimization Problems with Global Optimality: Smoothing Iterative Consensus von Wei, Jiazhen, Bian, Wei

    ISSN: 0885-7474, 1573-7691
    Veröffentlicht: New York Springer US 01.07.2025
    Veröffentlicht in Journal of scientific computing (01.07.2025)
    “… In this paper, we focus on finding the global minimizer of a general unconstrained nonsmooth nonconvex optimization problem …”
    Volltext
    Journal Article
  11. 11

    Smoothing Iterative Consensus-based Optimization Algorithm for Nonsmooth Nonconvex Optimization Problems with Global Optimality von Wei, Jiazhen, Bian, Wei

    ISSN: 0885-7474, 1573-7691
    Veröffentlicht: New York Springer Nature B.V 01.07.2025
    Veröffentlicht in Journal of scientific computing (01.07.2025)
    “… In this paper, we focus on finding the global minimizer of a general unconstrained nonsmooth nonconvex optimization problem …”
    Volltext
    Journal Article
  12. 12

    Metalearning-Based Alternating Minimization Algorithm for Nonconvex Optimization von Xia, Jing-Yuan, Li, Shengxi, Huang, Jun-Jie, Yang, Zhixiong, Jaimoukha, Imad M., Gunduz, Deniz

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Veröffentlicht: United States IEEE 01.09.2023
    “… Meanwhile, learning-based approaches, such as deep unfolding algorithms, have gained popularity for nonconvex optimization …”
    Volltext
    Journal Article
  13. 13

    iPiano: Inertial Proximal Algorithm for Nonconvex Optimization von Ochs, Peter, Chen, Yunjin, Brox, Thomas, Pock, Thomas

    ISSN: 1936-4954, 1936-4954
    Veröffentlicht: Philadelphia Society for Industrial and Applied Mathematics 01.01.2014
    Veröffentlicht in SIAM journal on imaging sciences (01.01.2014)
    “… In this paper we study an algorithm for solving a minimization problem composed of a differentiable (possibly nonconvex) and a convex …”
    Volltext
    Journal Article
  14. 14

    Differentially private and communication-efficient distributed nonconvex optimization algorithms von Xie, Antai, Yi, Xinlei, Wang, Xiaofan, Cao, Ming, Ren, Xiaoqiang

    ISSN: 0005-1098
    Veröffentlicht: Elsevier Ltd 01.07.2025
    Veröffentlicht in Automatica (Oxford) (01.07.2025)
    “… We show that the proposed algorithms achieve sublinear convergence for smooth (possibly nonconvex) cost functions and linear convergence when the global cost function additionally satisfies the Polyak …”
    Volltext
    Journal Article
  15. 15

    ϵ-Approximation of Adaptive Leaning Rate Optimization Algorithms for Constrained Nonconvex Stochastic Optimization von Iiduka, Hideaki

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Veröffentlicht: United States IEEE 01.10.2023
    “… This brief considers constrained nonconvex stochastic finite-sum and online optimization in deep neural networks …”
    Volltext
    Journal Article
  16. 16

    An Inertial Tseng’s Type Proximal Algorithm for Nonsmooth and Nonconvex Optimization Problems von Boţ, Radu Ioan, Csetnek, Ernö Robert

    ISSN: 0022-3239, 1573-2878
    Veröffentlicht: New York Springer US 01.11.2016
    Veröffentlicht in Journal of optimization theory and applications (01.11.2016)
    “… We investigate the convergence of a forward–backward–forward proximal-type algorithm with inertial and memory effects when minimizing the sum of a nonsmooth function with a smooth one in the absence of convexity …”
    Volltext
    Journal Article
  17. 17

    A Globally Convergent Algorithm for Nonconvex Optimization Based on Block Coordinate Update von Xu, Yangyang, Yin, Wotao

    ISSN: 0885-7474, 1573-7691
    Veröffentlicht: New York Springer US 01.08.2017
    Veröffentlicht in Journal of scientific computing (01.08.2017)
    “… However, most nonconvex optimization algorithms are only known to have local convergence or subsequence convergence properties …”
    Volltext
    Journal Article
  18. 18

    An inexact modified subgradient algorithm for nonconvex optimization von Burachik, Regina S., Kaya, C. Yalçın, Mammadov, Musa

    ISSN: 0926-6003, 1573-2894
    Veröffentlicht: Boston Springer US 01.01.2010
    Veröffentlicht in Computational optimization and applications (01.01.2010)
    “… We propose and analyze an inexact version of the modified subgradient (MSG) algorithm, which we call the IMSG algorithm, for nonsmooth and nonconvex optimization over a compact set …”
    Volltext
    Journal Article
  19. 19

    The Boosted Double-proximal Subgradient Algorithm for nonconvex optimization von Aragón-Artacho, Francisco J., Pérez-Aros, Pedro, Torregrosa-Belén, David

    ISSN: 0025-5610, 1436-4646
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2025
    Veröffentlicht in Mathematical programming (01.11.2025)
    “… In this paper we introduce the Boosted Double-proximal Subgradient Algorithm (BDSA), a novel splitting algorithm designed to address general structured …”
    Volltext
    Journal Article
  20. 20