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Proceedings of the Forum "Math-for-Industry" 2018 - Big Data Analysis, AI, Fintech, Math in Finances and Economics (Hardcover,... Proceedings of the Forum "Math-for-Industry" 2018 - Big Data Analysis, AI, Fintech, Math in Finances and Economics (Hardcover, 1st ed. 2021)
Jin Cheng, Xu Dinghua, Osamu Saeki, Tomoyuki Shirai
R4,098 Discovery Miles 40 980 Ships in 12 - 17 working days

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.

Proceedings of the Forum "Math-for-Industry" 2018 - Big Data Analysis, AI, Fintech, Math in Finances and Economics (Paperback,... Proceedings of the Forum "Math-for-Industry" 2018 - Big Data Analysis, AI, Fintech, Math in Finances and Economics (Paperback, 1st ed. 2021)
Jin Cheng, Xu Dinghua, Osamu Saeki, Tomoyuki Shirai
R5,047 Discovery Miles 50 470 Ships in 10 - 15 working days

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.

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