Advanced Computing in Industrial Mathematics
12th Annual Meeting of the Bulgarian Section of SIAM December 20-22, 2017, Sofia, Bulgaria Revised Selected Papers
Editors: Georgiev, Krassimir, Todorov, Michail, Georgiev, Ivan (Eds.)
Free Preview- Presents cutting-edge research on Advanced Computing in Industrial Mathematics
- Gathers peer-reviewed, revised papers presented at the 12th Annual Meeting of the Bulgarian Section of the Society for Industrial and Applied Mathematics (BGSIAM), held in Sofia, Bulgaria on December 20–22, 2017 Written by prominent experts in the field
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- About this book
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This book gathers the peer-reviewed proceedings of the 12th Annual Meeting of the Bulgarian Section of the Society for Industrial and Applied Mathematics, BGSIAM’17, held in Sofia, Bulgaria, in December 2017. The general theme of BGSIAM’17 was industrial and applied mathematics, with a particular focus on: high-performance computing, numerical methods and algorithms, analysis of partial differential equations and their applications, mathematical biology, control and uncertain systems, stochastic models, molecular dynamics, neural networks, genetic algorithms, metaheuristics for optimization problems, generalized nets, and Big Data.
- Table of contents (35 chapters)
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Method for Indoor Localization of Mobile Devices Based on AoA and Kalman Filtering
Pages 1-12
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Cross-Validated Sequentially Constructed Multiple Regression
Pages 13-22
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How to Assess Multi-population Genetic Algorithms Performance Using Intuitionistic Fuzzy Logic
Pages 23-35
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Perturbation Analysis of a Nonlinear Matrix Equation Arising in Tree-Like Stochastic Processes
Pages 37-50
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On Two-Way Generalized Nets
Pages 51-62
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Table of contents (35 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Advanced Computing in Industrial Mathematics
- Book Subtitle
- 12th Annual Meeting of the Bulgarian Section of SIAM December 20-22, 2017, Sofia, Bulgaria Revised Selected Papers
- Editors
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- Krassimir Georgiev
- Michail Todorov
- Ivan Georgiev
- Series Title
- Studies in Computational Intelligence
- Series Volume
- 793
- Copyright
- 2019
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-319-97277-0
- DOI
- 10.1007/978-3-319-97277-0
- Hardcover ISBN
- 978-3-319-97276-3
- Softcover ISBN
- 978-3-030-07329-9
- Series ISSN
- 1860-949X
- Edition Number
- 1
- Number of Pages
- X, 446
- Number of Illustrations
- 45 b/w illustrations, 85 illustrations in colour
- Topics
