
Advanced Computing in Industrial Mathematics
13th Annual Meeting of the Bulgarian Section of SIAM, December 18-20, 2018, Sofia, Bulgaria, Revised Selected Papers
Springer (Publisher)
Published on 4. April 2022
Book
Paperback/Softback
X, 430 pages
978-3-030-71618-9 (ISBN)
Description
This book gathers the peer-reviewed proceedings of the 13th Annual Meeting of the Bulgarian Section of the Society for Industrial and Applied Mathematics, BGSIAM'18, held in Sofia, Bulgaria. The general theme of BGSIAM'18 was industrial and applied mathematics with particular focus on: mathematical physics, numerical analysis, high performance computing, optimization and control, mathematical biology, stochastic modeling, machine learning, digitization and imaging, advanced computing in environmental, biomedical and engineering applications.
More details
Series
Edition
2021 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
39 s/w Abbildungen, 109 farbige Abbildungen
X, 430 p. 148 illus., 109 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 24 mm
Weight
663 gr
ISBN-13
978-3-030-71618-9 (9783030716189)
DOI
10.1007/978-3-030-71616-5
Schweitzer Classification
Other editions
Additional editions

Ivan Georgiev | Hristo Kostadinov | Elena Lilkova
Advanced Computing in Industrial Mathematics
13th Annual Meeting of the Bulgarian Section of SIAM, December 18-20, 2018, Sofia, Bulgaria, Revised Selected Papers
Book
04/2021
Springer
€213.99
Shipment within 7-9 days
Persons
Content
Design of a multi-objective optimization model for Wireless Sensor Networks.- Cross-Validated Sequentially Constructed Multiple Regression with Centered Predictors.- Non-local nonlinear perturbation analysis for a nonlinear matrix equation arising in Tree-Like stochastic processes.- One parameter family of elliptic curves and the equation x4 + y4 + kx2 y2 = z2.- An inner product free solution method for an equation of motion with indefinite matrices.