A Bregman proximal subgradient algorithm for nonconvex and nonsmooth fractional optimization problems-Reference-Cited by-同舟云学术

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A Bregman proximal subgradient algorithm for nonconvex and nonsmooth fractional optimization problems

Published:2024-08 Issue: Volume:202 Page:209-221
ISSN:0168-9274
Container-title:Applied Numerical Mathematics
language:en
Short-container-title:Applied Numerical Mathematics

Author:

Long Xian Jun,Wang Xiao Ting^ORCID,Li Gao Xi,Li Geng Hua

Publisher

Elsevier BV

Reference32 articles.

1. A scale-invariant approach for sparse signal recovery;Rahimi;SIAM J. Sci. Comput.,2019

2. Sparsity constrained nonlinear optimization: optimality conditions and algorithms;Beck;SIAM J. Optim.,2013

3. Sparse generalized eigenvalue problem: optimal statistical rates via truncated Rayleigh flow;Tan;J. R. Stat. Soc., Ser. B, Stat. Methodol.,2016

4. When all risk-adjusted performance measures are the same: in praise of the Sharpe ratio;Chen;Quant. Finance,2011

5. On nonlinear fractional programming;Dinkelbach;Manag. Sci.,1967

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