2026-06-02T04:20:44Z https://oai.zbmath.org/v1/

oai:zbmath.org:7443744 2021-12-13T15:45:24Z 90

None Mei, Yu; Chen, Zhi-Ping; Ji, Bing-Bing; Xu, Zhu-Jia; Liu, Jia 2021 7443744 English Springer, Berlin/Heidelberg; Operations Research Society of China (ORS); Periodicals Agency of Shanghai University, Shanghai https://zbmath.org/07443744 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 9, No. 3, 525-542 (2021). 90C15; 90C59; 90C34; 90C17 Data-driven stochastic programming with distributionally robust constraints under Wasserstein distance: asymptotic properties j