| Proceedings of the Forum Math-For-Industry 2018: Big Data Analysis, Ai, Fintech, Math in Finances and Economics 2022 Edition Contributor(s): Cheng, Jin (Editor), Dinghua, Xu (Editor), Saeki, Osamu (Editor) |
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ISBN: 9811655758 ISBN-13: 9789811655753 Publisher: Springer OUR PRICE: $189.99 Product Type: Hardcover Published: December 2021 |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Engineering (general) - Mathematics | Probability & Statistics - General - Mathematics | Applied |
| Physical Information: 0.5" H x 6.14" W x 9.21" (1.00 lbs) 179 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |