Suchergebnisse - Difference of convex functions programming problem

  1. 1

    Difference of Convex Functions Programming With Machine-Learning Prior for the Imaging Problem in Electrical Capacitance Tomography von Lei, Jing, Liu, Qibin

    ISSN: 2168-2267, 2168-2275, 2168-2275
    Veröffentlicht: United States IEEE 01.12.2023
    Veröffentlicht in IEEE transactions on cybernetics (01.12.2023)
    “… To address this problem, this study introduces the data-guided prior and combines it with the electrical measurement mechanism and the sparsity prior to produce a new difference of convex functions …”
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    Journal Article
  2. 2

    Optimality conditions and DC-Dinkelbach-type algorithm for vector fractional programming problems with ratios of difference of convex functions von Ghazi, A., Roubi, A.

    ISSN: 0233-1934, 1029-4945
    Veröffentlicht: Philadelphia Taylor & Francis 25.01.2025
    Veröffentlicht in Optimization (25.01.2025)
    “… In this work, necessary optimality conditions of KKT type for (weak) Pareto optimality are derived and a DC-Dinkelbach-type algorithm is proposed for vector fractional mathematical programs with ratios of difference of convex (DC …”
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  3. 3

    The DC (Difference of Convex Functions) Programming and DCA Revisited with DC Models of Real World Nonconvex Optimization Problems von An, Le Thi Hoai, Tao, Pham Dinh

    ISSN: 0254-5330, 1572-9338
    Veröffentlicht: New York Springer Nature B.V 01.01.2005
    Veröffentlicht in Annals of operations research (01.01.2005)
    “… The DC programming and its DC algorithm (DCA) address the problem of minimizing a function f=g-h …”
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  4. 4

    Scheduling of steelmaking-continuous casting process using deflected surrogate Lagrangian relaxation approach and DC algorithm von Cui, Haijuan, Luo, Xiaochuan, Wang, Yuan

    ISSN: 0360-8352, 1879-0550
    Veröffentlicht: Elsevier Ltd 01.02.2020
    Veröffentlicht in Computers & industrial engineering (01.02.2020)
    “… (difference of convex functions) programming problem, which can solved by using DC algorithm …”
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  5. 5

    Ordinal Regression for Direction-Related Anomaly Detection von Tu, Jiankai, Liu, Huan, Li, Chunguang

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Veröffentlicht: United States IEEE 01.05.2024
    “… Typical model-based anomaly detection methods work well in general anomaly detection problems …”
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  6. 6

    A difference-of-convex functions approach for sparse PDE optimal control problems with nonconvex costs von Merino, Pedro

    ISSN: 0926-6003, 1573-2894
    Veröffentlicht: New York Springer US 01.09.2019
    Veröffentlicht in Computational optimization and applications (01.09.2019)
    “… (difference of convex functions) that is useful to obtain necessary optimality conditions and tackle its numerical solution by applying the well known DC algorithm used in nonconvex optimization problems …”
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  7. 7

    Long-Short Portfolio Optimization Under Cardinality Constraints by Difference of Convex Functions Algorithm von Le Thi, Hoai An, Moeini, Mahdi

    ISSN: 0022-3239, 1573-2878
    Veröffentlicht: Boston Springer US 01.04.2014
    Veröffentlicht in Journal of optimization theory and applications (01.04.2014)
    “… Attempting to use DC (Difference of Convex functions) programming and DCA (DC Algorithms), an efficient approach in non-convex programming framework …”
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  8. 8

    Multiple indefinite kernel learning for feature selection von Xue, Hui, Song, Yu, Xu, Hai-Ming

    ISSN: 0950-7051, 1872-7409
    Veröffentlicht: Amsterdam Elsevier B.V 05.03.2020
    Veröffentlicht in Knowledge-based systems (05.03.2020)
    “… Multiple kernel learning for feature selection (MKL-FS) utilizes kernels to explore complex properties of features and performs better in embedded methods …”
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  9. 9

    An approach to supervised distance metric learning based on difference of convex functions programming von Nguyen, Bac, De Baets, Bernard

    ISSN: 0031-3203, 1873-5142
    Veröffentlicht: Elsevier Ltd 01.09.2018
    Veröffentlicht in Pattern recognition (01.09.2018)
    “… •DML-dc is based on difference of convex functions (DC) programming.•DML-dc uses the ramp loss function to avoid the influence of outliers …”
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  10. 10

    Feature selection for linear SVMs under uncertain data: Robust optimization based on difference of convex functions algorithms von Le Thi, Hoai An, Vo, Xuan Thanh, Pham Dinh, Tao

    ISSN: 0893-6080, 1879-2782, 1879-2782
    Veröffentlicht: Kidlington Elsevier Ltd 01.11.2014
    Veröffentlicht in Neural networks (01.11.2014)
    “… The difficulty in treating ℓ0-norm in feature selection problem is overcome by using appropriate approximations and Difference of Convex functions (DC …”
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  11. 11

    Sum-Rate Maximization in Two-Way AF MIMO Relaying: Polynomial Time Solutions to a Class of DC Programming Problems von Khabbazibasmenj, A., Roemer, F., Vorobyov, S. A., Haardt, M.

    ISSN: 1053-587X, 1941-0476
    Veröffentlicht: New York, NY IEEE 01.10.2012
    Veröffentlicht in IEEE transactions on signal processing (01.10.2012)
    “… ) relaying belongs to the class of difference-of-convex functions (DC) programming problems …”
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  12. 12

    Multi-UAV trajectory planning problem using the difference of convex function programming von Ngo, Anh Phuong, Thomas, Christian, Karimoddini, Ali, Nguyen, Hieu T

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 02.08.2023
    Veröffentlicht in arXiv.org (02.08.2023)
    “… for individual pairs of UAVs in the swarm. In this paper, we tackle this nonconvexity by leveraging the difference of convex function (DC) programming …”
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    Paper
  13. 13

    A Concave-Convex Procedure for TDOA Based Positioning von Gholami, Mohammad Reza, Gezici, Sinan, Strom, Erik G.

    ISSN: 1089-7798, 1558-2558, 1558-2558
    Veröffentlicht: New York, NY IEEE 01.04.2013
    Veröffentlicht in IEEE communications letters (01.04.2013)
    “… We consider the least-mean absolute, i.e., the ℓ 1 norm, minimization of the residual errors and formulate the positioning problem as a difference of convex functions (DC) programming …”
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  14. 14

    A DC programming approach for planning a multisensor multizone search for a target von Le Thi, Hoai An, Nguyen, Duc Manh, Pham Dinh, Tao

    ISSN: 0305-0548, 1873-765X, 0305-0548
    Veröffentlicht: New York Elsevier Ltd 01.01.2014
    Veröffentlicht in Computers & operations research (01.01.2014)
    “… (Difference of Convex) functions program via an exact penalty technique. DC programming and DCA (DC algorithm …”
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  15. 15

    Sparse Parameter-Assisted Bias-Robust Localization Based on Concave-Convex Programming Without Priors von Li, Fangchi, Jin, Tian, Qin, Honglei

    ISSN: 0018-9251, 1557-9603
    Veröffentlicht: New York IEEE 01.10.2025
    “… In this article, we propose a robust estimator that leverages the sparsity of measurement biases to address the lack of prior information and achieves position estimation based on convex-concave programming (CCP …”
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  16. 16

    A refined inertial DC algorithm for DC programming von You, Yu, Niu, Yi-Shuai

    ISSN: 1389-4420, 1573-2924
    Veröffentlicht: New York Springer US 01.03.2023
    Veröffentlicht in Optimization and engineering (01.03.2023)
    “… In this paper we consider the difference-of-convex (DC) programming problems, whose objective function is the difference of two convex functions …”
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  17. 17

    Block clustering based on difference of convex functions (DC) programming and DC algorithms von Le, Hoai Minh, Le Thi, Hoai An, Dinh, Tao Pham, Huynh, Van Ngai

    ISSN: 1530-888X, 1530-888X
    Veröffentlicht: United States 01.10.2013
    Veröffentlicht in Neural computation (01.10.2013)
    “… We investigate difference of convex functions (DC) programming and the DC algorithm (DCA …”
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  18. 18

    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 …”
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  19. 19

    Joint Spectrum and Power Allocation for NOMA Enhanced Relaying Networks von Wang, Qiang, Zhao, Feng

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 2019
    Veröffentlicht in IEEE access (2019)
    “… To maximize the system throughput, the joint resource allocation problem is formulated as a mixed-integer nonlinear programming problem, which is difficult to tackle in general …”
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  20. 20

    Combined SVM-Based Feature Selection and Classification von Neumann, Julia, Schnörr, Christoph, Steidl, Gabriele

    ISSN: 0885-6125, 1573-0565
    Veröffentlicht: Dordrecht Springer Nature B.V 01.11.2005
    Veröffentlicht in Machine learning (01.11.2005)
    “… To solve our optimisation problems, we apply difference of convex functions programming which is a general framework for non-convex continuous optimisation …”
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