Výsledky vyhledávání - Sum of nonconvex function and composite functions

  1. 1

    Novel DCA based algorithms for a special class of nonconvex problems with application in machine learning Autor Le Thi, Hoai An, Le, Hoai Minh, Phan, Duy Nhat, Tran, Bach

    ISSN: 0096-3003, 1873-5649
    Vydáno: Elsevier Inc 15.11.2021
    Vydáno v Applied mathematics and computation (15.11.2021)
    “…•We address the problem of minimizing the sum of a nonconvex, differentiable function and composite functions by DC…”
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    The Boosted Double-proximal Subgradient Algorithm for nonconvex optimization Autor Aragón-Artacho, Francisco J., Pérez-Aros, Pedro, Torregrosa-Belén, David

    ISSN: 0025-5610, 1436-4646
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2025
    Vydáno v Mathematical programming (01.11.2025)
    “… nonsmooth and nonconvex mathematical programs expressed as sums and differences of composite functions…”
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  3. 3

    Quasi-Newton type proximal gradient method for nonconvex nonsmooth composite optimization problems Autor Wang, Tanxing, Jiang, Yaning, Cai, Xingju

    ISSN: 0925-5001, 1573-2916
    Vydáno: New York Springer US 01.07.2025
    Vydáno v Journal of global optimization (01.07.2025)
    “…In this paper, we propose two quasi-Newton type proximal gradient methods for a class of nonconvex nonsmooth composite optimization problems, where the objective function is the sum of a smooth…”
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  4. 4

    A FISTA-type accelerated gradient algorithm for solving smooth nonconvex composite optimization problems Autor Liang, Jiaming, Monteiro, Renato D. C., Sim, Chee-Khian

    ISSN: 0926-6003, 1573-2894
    Vydáno: New York Springer US 01.07.2021
    “…) variants to solve a smooth nonconvex composite optimization problem whose objective function is the sum of a nonconvex differentiable function f with a Lipschitz continuous gradient and a simple…”
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  5. 5

    Bregman Proximal Linearized ADMM for Minimizing Separable Sums Coupled by a Difference of Functions Autor Pham, Tan Nhat, Dao, Minh N., Eberhard, Andrew, Sultanova, Nargiz

    ISSN: 0022-3239, 1573-2878
    Vydáno: New York Springer US 01.11.2024
    “… is the separable sum of possibly nonconvex nonsmooth functions and a smooth function, coupled by a difference of functions…”
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  6. 6

    A proximal bundle method for a class of nonconvex nonsmooth composite optimization problems Autor Pang, Liping, Wang, Xiaoliang, Meng, Fanyun

    ISSN: 0925-5001, 1573-2916
    Vydáno: New York Springer US 01.07.2023
    Vydáno v Journal of global optimization (01.07.2023)
    “… The composite problem considered here is the sum of two functions: one is convex and the other is nonconvex…”
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    Doubly relaxed forward-Douglas–Rachford splitting for the sum of two nonconvex and a DC function Autor Dao, Minh N., Pham, Tan Nhat, Tung, Phan Thanh

    ISSN: 0885-7474, 1573-7691
    Vydáno: New York Springer US 01.08.2025
    Vydáno v Journal of scientific computing (01.08.2025)
    “…In this paper, we consider a class of structured nonconvex nonsmooth optimization problems whose objective function is the sum of three nonconvex functions, one of which is expressed in a difference-of-convex (DC) form…”
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    Globalized inexact proximal Newton-type methods for nonconvex composite functions Autor Kanzow, Christian, Lechner, Theresa

    ISSN: 1573-2894, 0926-6003, 1573-2894
    Vydáno: New York, NY Springer US 01.03.2021
    “…Optimization problems with composite functions consist of an objective function which is the sum of a smooth and a (convex) nonsmooth term…”
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    A fast computational Gauss–Seidel type iPALM algorithm using an incremental aggregated gradient strategy for weakly convex composite optimization problems with application in image processing Autor Jia, Zehui, Hou, Junru, Dong, Ping, Liu, Zhiyu

    ISSN: 0377-0427
    Vydáno: Elsevier B.V 01.03.2026
    “…) for solving a class of nonconvex and nonsmooth composite optimization problems, whose objective function is the sum of a finite number of smooth nonconvex functions and nonsmooth weakly convex functions…”
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    Inexact proximal DC Newton-type method for nonconvex composite functions Autor Nakayama, Shummin, Narushima, Yasushi, Yabe, Hiroshi

    ISSN: 0926-6003, 1573-2894
    Vydáno: New York Springer US 01.03.2024
    “…We consider a class of difference-of-convex (DC) optimization problems where the objective function is the sum of a smooth function and a possibly nonsmooth DC function…”
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    An Adaptive Proximal Bundle Method with Inexact Oracles for a Class of Nonconvex and Nonsmooth Composite Optimization Autor Wang, Xiaoliang, Pang, Liping, Wu, Qi, Zhang, Mingkun

    ISSN: 2227-7390, 2227-7390
    Vydáno: Basel MDPI AG 01.04.2021
    Vydáno v Mathematics (Basel) (01.04.2021)
    “… The composite problems are the sum of a finite convex function with inexact information and a nonconvex function…”
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    MOCCA: Mirrored Convex/Concave Optimization for Nonconvex Composite Functions Autor Barber, Rina Foygel, Sidky, Emil Y

    ISSN: 1532-4435
    Vydáno: United States 01.01.2016
    Vydáno v Journal of machine learning research (01.01.2016)
    “…Many optimization problems arising in high-dimensional statistics decompose naturally into a sum of several terms, where the individual terms are relatively simple but the composite objective function…”
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    Proximal variable smoothing method for three-composite nonconvex nonsmooth minimization with a linear operator Autor Liu, Yuncheng, Xia, Fuquan

    ISSN: 1017-1398, 1572-9265
    Vydáno: New York Springer US 01.05.2024
    Vydáno v Numerical algorithms (01.05.2024)
    “…In this paper, we consider a class of three-composite nonconvex nonsmooth optimization problems, where one of nonsmooth functions is further composed with linear operator…”
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    An extrapolated proximal iteratively reweighted method for nonconvex composite optimization problems Autor Ge, Zhili, Wu, Zhongming, Zhang, Xin, Ni, Qin

    ISSN: 0925-5001, 1573-2916
    Vydáno: New York Springer US 01.08.2023
    Vydáno v Journal of global optimization (01.08.2023)
    “…We consider a class of problems where the objective function is the sum of a smooth function and a composition of nonconvex and nonsmooth functions…”
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    A Bregman inertial forward-reflected-backward method for nonconvex minimization Autor Wang, Xianfu, Wang, Ziyuan

    ISSN: 0925-5001, 1573-2916
    Vydáno: New York Springer US 01.06.2024
    Vydáno v Journal of global optimization (01.06.2024)
    “…We propose a Bregman inertial forward-reflected-backward (BiFRB) method for nonconvex composite problems…”
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  16. 16

    A hybrid stochastic alternating direction method of multipliers for nonconvex and nonsmooth composite optimization Autor Zeng, Yuxuan, Bai, Jianchao, Wang, Shengjia, Wang, Zhiguo, Shen, Xiaojing

    ISSN: 0377-2217
    Vydáno: Elsevier B.V 16.02.2026
    “…•Comparison experiments demonstrate the efficiency of the algorithm. Nonconvex and nonsmooth composite optimization problems with linear constraints have gained significant attention in practical applications…”
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  17. 17

    Smoothing randomized block-coordinate proximal gradient algorithms for nonsmooth nonconvex composite optimization Autor Li, Xue, Bian, Wei

    ISSN: 1017-1398, 1572-9265
    Vydáno: New York Springer US 01.09.2025
    Vydáno v Numerical algorithms (01.09.2025)
    “…) algorithm and a Bregman randomized block-coordinate proximal gradient (B-RBCPG) algorithm for minimizing the sum of two nonconvex nonsmooth functions, one of which is block separable…”
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    Inexact proximal memoryless quasi-Newton methods based on the Broyden family for minimizing composite functions Autor Nakayama, Shummin, Narushima, Yasushi, Yabe, Hiroshi

    ISSN: 0926-6003, 1573-2894
    Vydáno: New York Springer US 01.05.2021
    “…This study considers a proximal Newton-type method to solve the minimization of a composite function that is the sum of a smooth nonconvex function and a nonsmooth convex function…”
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    The Equivalence of Three Types of Error Bounds for Weakly and Approximately Convex Functions Autor Bai, Sixuan, Li, Minghua, Lu, Chengwu, Zhu, Daoli, Deng, Sien

    ISSN: 0022-3239, 1573-2878
    Vydáno: New York Springer US 01.07.2022
    “… Then we apply these equivalence results to a class of nonconvex optimization problems, whose objective functions are the sum of a convex function and a composite function with a locally Lipschitz…”
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