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Dr. Ding Ma's research is centered around the analysis of large-scale optimization models and datasets. Her research projects cover diverse topics such as machine learning, deep learning, systems biology, economics, and marketing. Despite the range of topics, her work has a common thread: the development of numerical algorithms and methods to tackle computationally challenging models. Her research is driven by the need to find solutions to the complex problems that arise in science, engineering, and business. She aims to create novel methods that offer practical solutions to real-world problems.
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论文共 14 篇作者统计合作学者相似作者
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5th International Conference on Crowd Science and Engineeringpp.145-149, (2021)
5th International Conference on Crowd Science and Engineeringpp.150-154, (2021)
5th International Conference on Crowd Science and Engineeringpp.140-144, (2021)
Laurent Heirendt,Sylvain Arreckx,Thomas Pfau,Sebastián N. Mendoza,Anne Richelle,Almut Heinken,Hulda S. Haraldsdóttir, Jacek Wachowiak,Sarah M. Keating, Vanja Vlasov,Stefania Magnusdóttir,Chiam Yu Ng,
Springer Proceedings in Mathematics & Statistics (2018): 173-191
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