Suchergebnisse - Difference of convex/nonconvex functions algorithm

  1. 1

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

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 2019
    Veröffentlicht in 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 …”
    Volltext
    Journal Article
  2. 2

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

    Veröffentlicht: 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 …”
    Volltext
    Tagungsbericht
  3. 3

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

    ISSN: 2168-2267, 2168-2275, 2168-2275
    Veröffentlicht: United States IEEE 01.04.2024
    Veröffentlicht in 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> …”
    Volltext
    Journal Article
  4. 4

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

    ISSN: 0096-3003, 1873-5649
    Veröffentlicht: Elsevier Inc 15.11.2021
    Veröffentlicht in 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 …”
    Volltext
    Journal Article
  5. 5

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

    ISSN: 0233-1934, 1029-4945
    Veröffentlicht: Philadelphia Taylor & Francis 02.01.2017
    Veröffentlicht in 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 …”
    Volltext
    Journal Article
  6. 6

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

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Veröffentlicht: 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 …”
    Volltext
    Journal Article
  7. 7
  8. 8

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

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

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

    ISSN: 0163-0563, 1532-2467
    Veröffentlicht: Abingdon Taylor & Francis 26.08.2022
    Veröffentlicht in Numerical functional analysis and optimization (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 …”
    Volltext
    Journal Article
  10. 10

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

    ISSN: 0036-1429, 1095-7170
    Veröffentlicht: Philadelphia Society for Industrial and Applied Mathematics 01.01.2014
    Veröffentlicht in 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 …”
    Volltext
    Journal Article
  11. 11

    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 von Fadila, Leslous, Marthon, Philippe, Mohand, Ouanes

    ISSN: 1312-885X, 1314-7552
    Veröffentlicht: Hikari 2014
    Veröffentlicht in Applied mathematical sciences (2014)
    “… (Difference of Convex Algorithm) and the minimum of the average of two approximations of the function from a and …”
    Volltext
    Journal Article
  12. 12

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

    ISSN: 0167-6377, 1872-7468
    Veröffentlicht: Amsterdam Elsevier B.V 01.11.1996
    Veröffentlicht in 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 …”
    Volltext
    Journal Article
  13. 13

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

    ISSN: 1598-5865, 1865-2085
    Veröffentlicht: Berlin/Heidelberg Springer-Verlag 01.03.2013
    Veröffentlicht in Journal of applied mathematics & computing (01.03.2013)
    “… A global optimization algorithm is presented for maximizing the sum of difference of convex functions ratios problem over nonconvex feasible region …”
    Volltext
    Journal Article
  14. 14

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

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 28.11.2023
    Veröffentlicht in 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 …”
    Volltext
    Paper
  15. 15

    On solving difference of convex functions programs with linear complementarity constraints von Le Thi, Hoai An, Nguyen, Thi Minh Tam, Dinh, Tao Pham

    ISSN: 0926-6003, 1573-2894
    Veröffentlicht: New York Springer US 01.09.2023
    Veröffentlicht in Computational optimization and applications (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 …”
    Volltext
    Journal Article
  16. 16

    Estimating individualized treatment rules with risk constraint von Huang, Xinyang, Xu, Jin

    ISSN: 0006-341X, 1541-0420, 1541-0420
    Veröffentlicht: United States Blackwell Publishing Ltd 01.12.2020
    Veröffentlicht in 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 …”
    Volltext
    Journal Article
  17. 17

    DCA approaches for simultaneous wireless information power transfer in MISO secrecy channel von Nguyen, Phuong Anh, Le Thi, Hoai An

    ISSN: 1389-4420, 1573-2924
    Veröffentlicht: New York Springer US 01.03.2023
    Veröffentlicht in Optimization and engineering (01.03.2023)
    “… Since these optimization problems are nonconvex, we propose the efficient algorithms based on Difference of Convex (DC …”
    Volltext
    Journal Article
  18. 18

    Personalized Dose Finding Using Outcome Weighted Learning von Chen, Guanhua, Zeng, Donglin, Kosorok, Michael R.

    ISSN: 0162-1459, 1537-274X, 1537-274X
    Veröffentlicht: United States Taylor & Francis 01.12.2016
    Veröffentlicht in Journal of the American Statistical Association (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 …”
    Volltext
    Journal Article
  19. 19

    A TV-log nonconvex approach for image deblurring with impulsive noise von Zhang, Benxin, Zhu, Guopu, Zhu, Zhibin

    ISSN: 0165-1684, 1872-7557
    Veröffentlicht: Elsevier B.V 01.09.2020
    Veröffentlicht in 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 …”
    Volltext
    Journal Article
  20. 20

    A unified DC programming framework and efficient DCA based approaches for large scale batch reinforcement learning von Le Thi, Hoai An, Ho, Vinh Thanh, Pham Dinh, Tao

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