2024-03-29T13:19:59Z
https://oai.zbmath.org/v1/
oai:zbmath.org:7593073
2022-09-27T12:41:45Z
15
65
90
94
Meng, Nan; Zhao, Yun-Bin
2022
7593073
English
Springer, Berlin/Heidelberg; Operations Research Society of China (ORS); Periodicals Agency of Shanghai University, Shanghai
https://zbmath.org/07593073
Content generated by zbMATH Open, such as reviews,
classifications, software, or author disambiguation data,
are distributed under CC-BY-SA 4.0. This defines the license for the
whole dataset, which also contains non-copyrighted bibliographic
metadata and reference data derived from I4OC (CC0). Note that the API
only provides a subset of the data in the zbMATH Open Web interface. In
several cases, third-party information, such as abstracts, cannot be
made available under a suitable license through the API. In those cases,
we replaced the data with the string 'zbMATH Open Web Interface contents
unavailable due to conflicting licenses.'
J. Oper. Res. Soc. China 10, No. 3, 447-469 (2022).
90C30; 90C25; 65F10; 94A12; 15A29
Newton-type optimal thresholding algorithms for sparse optimization problems
j