Výsledky vyhledávání - Difference of convex/nonconvex functions algorithm

  1. 1

    Iterative Reweighted Minimization for Generalized Norm/Quasi-Norm Difference Regularized Unconstrained Nonlinear Programming Autor Cen, Yi, Zhang, Linna, Wang, Ke, Cen, Yigang

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2019
    Vydáno v IEEE access (2019)
    “…In this paper, we study the minimization of l p-q (0 <; p ≤ 1, q ≥ 1, p=6q), the general difference of l p and l q norms/quasi-norms, as a nonconvex metric for solving unconstrained nonlinear programming…”
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  2. 2

    Low-Rank Tensor Estimation via Generalized Norm/Quasi-Norm Difference Regularization Autor Cen, Yi, Cen, Yigang, Wang, Ke, Li, Jincong, Chen, Shiming, Zhang, Linnan, Tao, Dan

    Vydáno: IEEE 01.08.2018
    “…In this paper we study minimization of lp-q (0 < p ≤ 1, q ≥ 1, p ≠ q), the general difference of lp and lq norms/quasi-norms for solving nonconvex unconstrained nonlinear programming…”
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    Konferenční příspěvek
  3. 3

    Impulse Noise Image Restoration Using Nonconvex Variational Model and Difference of Convex Functions Algorithm Autor Zhang, Benxin, Zhu, Guopu, Zhu, Zhibin, Zhang, Hongli, Zhou, Yicong, Kwong, Sam

    ISSN: 2168-2267, 2168-2275, 2168-2275
    Vydáno: United States IEEE 01.04.2024
    Vydáno v IEEE transactions on cybernetics (01.04.2024)
    “…In this article, the problem of impulse noise image restoration is investigated. A typical way to eliminate impulse noise is to use an <inline-formula>…”
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  4. 4

    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)
    “… (Difference of Convex functions) programming and DCA (DC Algorithm).•We first develop a standard DCA scheme especially dealing with the very specific structure of this problem…”
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  5. 5

    Convergence analysis of a proximal point algorithm for minimizing differences of functions Autor An, Nguyen Thai, Nam, Nguyen Mau

    ISSN: 0233-1934, 1029-4945
    Vydáno: Philadelphia Taylor & Francis 02.01.2017
    Vydáno v Optimization (02.01.2017)
    “… In this paper, we introduce a generalized proximal point algorithm to minimize the difference of a nonconvex function and a convex function…”
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  6. 6

    Direct-Optimization-Based DC Dictionary Learning With the MCP Regularizer Autor Li, Zhenni, Yang, Zuyuan, Zhao, Haoli, Xie, Shengli

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Vydáno: United States IEEE 01.07.2023
    “… converges to a critical point of the objective function. In this article, we propose a novel direct-optimization-based dictionary learning algorithm using the minimax concave penalty (MCP…”
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  8. 8

    A DC programming approach for finding communities in networks Autor Le Thi, Hoai An, Nguyen, Manh Cuong, Dinh, Tao Pham

    ISSN: 1530-888X, 1530-888X
    Vydáno: United States 01.12.2014
    Vydáno v Neural computation (01.12.2014)
    “… In this letter, we propose a fast and scalable algorithm called DCAM, based on DC (difference of convex function…”
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  9. 9

    A New Boosted Proximal Point Algorithm for Minimizing Nonsmooth DC Functions Autor Alizadeh Tabrizian, Amir Hamzeh, Bidabadi, Narges

    ISSN: 0163-0563, 1532-2467
    Vydáno: Abingdon Taylor & Francis 26.08.2022
    “… and global optimization. In this article, we introduce new algorithm to minimize the difference of a continuously differentiable function and a convex function that accelerate the convergence of the classical proximal point algorithm…”
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  10. 10

    A TWO-DIMENSIONAL VERSION OF THE GODUNOV SCHEME FOR SCALAR BALANCE LAWS Autor GOSSE, LAURENT

    ISSN: 0036-1429, 1095-7170
    Vydáno: Philadelphia Society for Industrial and Applied Mathematics 01.01.2014
    Vydáno v SIAM journal on numerical analysis (01.01.2014)
    “…A Godunov scheme is derived for two-dimensional scalar conservation laws without or with source terms following ideas originally proposed by Boukadida and…”
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    Improving the Robustness of Difference of Convex Algorithm in the Research of a Global Optimum of a Nonconvex Differentiable Function Defined on a Bounded Closed Interval Autor Fadila, Leslous, Marthon, Philippe, Mohand, Ouanes

    ISSN: 1312-885X, 1314-7552
    Vydáno: Hikari 2014
    “… (Difference of Convex Algorithm) and the minimum of the average of two approximations of the function from a and…”
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  12. 12

    Difference of convex functions optimization algorithms (DCA) for globally minimizing nonconvex quadratic forms on Euclidean balls and spheres Autor Tao, Pham Dinh, An, Le Thi Hoai

    ISSN: 0167-6377, 1872-7468
    Vydáno: Amsterdam Elsevier B.V 01.11.1996
    Vydáno v Operations research letters (01.11.1996)
    “…We present DCA for globally minimizing quadratic forms on Euclidean balls and spheres. Since these problems admit at most one local-nonglobal minimizer, DCA…”
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  13. 13

    Global optimization method for maximizing the sum of difference of convex functions ratios over nonconvex region Autor Pei, Yonggang, Zhu, Detong

    ISSN: 1598-5865, 1865-2085
    Vydáno: Berlin/Heidelberg Springer-Verlag 01.03.2013
    “…A global optimization algorithm is presented for maximizing the sum of difference of convex functions ratios problem over nonconvex feasible region…”
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  14. 14

    General Derivative-Free Optimization Methods under Global and Local Lipschitz Continuity of Gradients Autor Pham, Duy Khanh, Mordukhovich, Boris S, Dat Ba Tran

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 28.11.2023
    Vydáno v arXiv.org (28.11.2023)
    “…This paper addresses the study of derivative-free smooth optimization problems, where the gradient information on the objective function is unavailable…”
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    On solving difference of convex functions programs with linear complementarity constraints Autor Le Thi, Hoai An, Nguyen, Thi Minh Tam, Dinh, Tao Pham

    ISSN: 0926-6003, 1573-2894
    Vydáno: New York Springer US 01.09.2023
    “… The difference of convex functions algorithm (DCA), an efficient approach in nonconvex programming framework, is then developed to solve the resulting problems…”
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    Estimating individualized treatment rules with risk constraint Autor Huang, Xinyang, Xu, Jin

    ISSN: 0006-341X, 1541-0420, 1541-0420
    Vydáno: United States Blackwell Publishing Ltd 01.12.2020
    Vydáno v Biometrics (01.12.2020)
    “…‐1 loss in the objective function and constraint, respectively, and transforms the estimation problem into a difference of convex functions (DC…”
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    DCA approaches for simultaneous wireless information power transfer in MISO secrecy channel Autor Nguyen, Phuong Anh, Le Thi, Hoai An

    ISSN: 1389-4420, 1573-2924
    Vydáno: New York Springer US 01.03.2023
    Vydáno v Optimization and engineering (01.03.2023)
    “… Since these optimization problems are nonconvex, we propose the efficient algorithms based on Difference of Convex (DC…”
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    Personalized Dose Finding Using Outcome Weighted Learning Autor Chen, Guanhua, Zeng, Donglin, Kosorok, Michael R.

    ISSN: 0162-1459, 1537-274X, 1537-274X
    Vydáno: United States Taylor & Francis 01.12.2016
    “… To estimate the optimal IDR using such data, we propose an outcome weighted learning method based on a nonconvex loss function, which can be solved efficiently using a difference of convex functions algorithm…”
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    A TV-log nonconvex approach for image deblurring with impulsive noise Autor Zhang, Benxin, Zhu, Guopu, Zhu, Zhibin

    ISSN: 0165-1684, 1872-7557
    Vydáno: Elsevier B.V 01.09.2020
    Vydáno v Signal processing (01.09.2020)
    “…•A difference of convex functions algorithm with adaptive proximal parameter is developed.•The sequence generated by the proposed algorithm converges to a critical point…”
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    A unified DC programming framework and efficient DCA based approaches for large scale batch reinforcement learning Autor Le Thi, Hoai An, Ho, Vinh Thanh, Pham Dinh, Tao

    ISSN: 0925-5001, 1573-2916
    Vydáno: New York Springer US 01.02.2019
    Vydáno v Journal of global optimization (01.02.2019)
    “…We investigate a powerful nonconvex optimization approach based on Difference of Convex functions (DC…”
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