Proceedings of the Forum "Math-for-Industry" 2018
Redigert av Jin Cheng, Xu Dinghua, Tomoyuki Shirai, Osamu Saeki, 2022.Del av serien Mathematics for Industry.
Big Data Analysis, AI, Fintech, Math in Finances and Economics
This volume includes selected technical papers presented at the Forum "Math-for-Industry" 2018. The papers written by eminent researchers and academics working in the area of industrial mathematics from the viewpoint of financial mathematics, machine learning, neural networks, inverse problems, stochastic modelling, etc., discuss how the ingenuity of science, technology, engineering and mathematics are and will be expected to be utilized. This volume focuses on the role that mathematics-for-industry can play in interdisciplinary research to develop new methods. The contents are useful for researchers both in academia and industry working in interdisciplinary sectors.
Språk: Engelsk
Proceedings of the Forum "Math-for-Industry" 2018
Redigert av Jin Cheng, Xu Dinghua, Tomoyuki Shirai, Osamu Saeki, 2022.Del av serien Mathematics for Industry.
Big Data Analysis, AI, Fintech, Math in Finances and Economics
This volume includes selected technical papers presented at the Forum "Math-for-Industry" 2018. The papers written by eminent researchers and academics working in the area of industrial mathematics from the viewpoint of financial mathematics, machine learning, neural networks, inverse problems, stochastic modelling, etc., discuss how the ingenuity of science, technology, engineering and mathematics are and will be expected to be utilized. This volume focuses on the role that mathematics-for-industry can play in interdisciplinary research to develop new methods. The contents are useful for researchers both in academia and industry working in interdisciplinary sectors.
Språk: Engelsk
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