Main Proceedings of the Forum "Math-for-Industry" 2018: Big Data Analysis, AI, Fintech, Math in Finances and Economics (Mathematics for Industry, 35)

Proceedings of the Forum "Math-for-Industry" 2018: Big Data Analysis, AI, Fintech, Math in Finances and Economics (Mathematics for Industry, 35)

Name: Proceedings of the Forum "Math-for-Industry" 2018: Big Data Analysis, AI, Fintech, Math in Finances and Economics (Mathematics for Industry, 35)
Rating: 5.0 (4 reviews)
ISBN: 9789811655753

Jin Cheng (editor), Xu Dinghua (editor), Osamu Saeki (editor), Tomoyuki Shirai (editor)

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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.

Request Code : ZLIBIO4286830

Categories:

Year:

2021

Publisher:

Springer

Language:

English

Pages:

193

ISBN 10:

9811655758