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Proceedings of the Forum "Math-for-Industry" 2018 - Big Data Analysis, AI, Fintech, Math in Finances and Economics (Hardcover, 1st ed. 2021) Loot Price: R4,382
Discovery Miles 43 820
Repayment Terms: R411 pm x 12*
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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

Series: Mathematics for Industry, 35

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Loot Price R4,382 Discovery Miles 43 820 | Repayment Terms: R411 pm x 12*

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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.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Mathematics for Industry, 35
Release date: December 2021
First published: 2021
Editors: Jin Cheng • Xu Dinghua • Osamu Saeki • Tomoyuki Shirai
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 179
Edition: 1st ed. 2021
ISBN-13: 978-981-16-5575-3
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
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LSN: 981-16-5575-8
Barcode: 9789811655753

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