Proceedings of the Forum "Math-for-Industry" 2018 : big data analysis, AI, fintech, math in finances and economics / Jin Cheng, Xu Dinghua, Osamu Saeki, Tomoyuki Shirai, editors.
Forum "Math-for-Industry" (2018 : Shanghai, China); Cheng, Jin, 1963- editor.; Dinghua, Xu, editor.; Saeki, Osamu, 1955- editor.; Shirai, Tomoyuki, editor.
2021
T57
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Proceedings of the Forum "Math-for-Industry" 2018 : big data analysis, AI, fintech, math in finances and economics / Jin Cheng, Xu Dinghua, Osamu Saeki, Tomoyuki Shirai, editors.
Meeting Name Forum "Math-for-Industry" (2018 : Shanghai, China)
ISBN 9789811655760 (electronic bk.)
9811655766 (electronic bk.)
9811655758
9789811655753
DOI https://doi.org/10.1007/978-981-16-5576-0
Publication Details Singapore : Springer, 2021.
Language English
Description 1 online resource
Item Number 10.1007/978-981-16-5576-0 doi
Call Number T57
Dewey Decimal Classification 620.001/51
Summary 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.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed January 10, 2022).
Added Author Cheng, Jin, 1963- editor.
Dinghua, Xu, editor.
Saeki, Osamu, 1955- editor.
Shirai, Tomoyuki, editor.
Series Mathematics for industry (Springer (Firm)) ; v. 35. 2198-3518
Available in Other Form Print version: 9789811655753
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
A Brief Review of Some Swarming Models using Stochastic Differential Equations
Copula-based estimation of Value at Risk for the portfolio problem
An Overview of Exact Solution Methods for Guaranteed Minimum Death Benefit Options in Variable Annuities
Determinantal reinforcement learning with techniques to avoid poor local optima
Surface Denoising based on Normal Filtering in a Robust Statistics Framework
Mathematical Modeling and Inverse Problem Approaches for Functional
Clothing Design based on Thermal Mechanism
Unique continuation on a sphere for Helmholtz equation and its numerical treatments
Notes on Backward Stochastic Differential Equations for Computing XVA.

Browse Subjects

Show more subjects...

Statistics

from
to
Export