Search Results - Difference of convex/nonconvex functions algorithm

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

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

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

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

“… (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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Convergence analysis of a proximal point algorithm for minimizing differences of functions by An, Nguyen Thai, Nam, Nguyen Mau

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

“… 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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Fuzzy clustering based on nonconvex optimisation approaches using difference of convex (DC) functions algorithms by Thi, Hoai An Le, Le, Hoai Minh, Dinh, Tao Pham

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

“… In this letter, we propose a fast and scalable algorithm called DCAM, based on DC (difference of convex function…”
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A New Boosted Proximal Point Algorithm for Minimizing Nonsmooth DC Functions by Alizadeh Tabrizian, Amir Hamzeh, Bidabadi, Narges

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

“…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 by Fadila, Leslous, Marthon, Philippe, Mohand, Ouanes

“… (Difference of Convex Algorithm) and the minimum of the average of two approximations of the function from a and…”
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Difference of convex functions optimization algorithms (DCA) for globally minimizing nonconvex quadratic forms on Euclidean balls and spheres by Tao, Pham Dinh, An, Le Thi Hoai

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

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

“…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 by Le Thi, Hoai An, Nguyen, Thi Minh Tam, Dinh, Tao Pham

“… 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 by Huang, Xinyang, Xu, Jin

“…‐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 by Nguyen, Phuong Anh, Le Thi, Hoai An

“… 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 by Chen, Guanhua, Zeng, Donglin, Kosorok, Michael R.

“… 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 by Zhang, Benxin, Zhu, Guopu, Zhu, Zhibin

“…•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 by Le Thi, Hoai An, Ho, Vinh Thanh, Pham Dinh, Tao

“…We investigate a powerful nonconvex optimization approach based on Difference of Convex functions (DC…”
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