Description: Contributions in this volume focus on computationally efficient algorithms and rigorous mathematical theories for analyzing large-scale networks. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks. This proceeding is a result of the 7th International Conference in Network Analysis, held at the Higher School of Economics, Nizhny Novgorod in June 2017. The conference brought together scientists, engineers, and researchers from academia, industry, and government.
Price: 204 AUD
Location: Hillsdale, NSW
End Time: 2024-11-19T13:35:02.000Z
Shipping Cost: 32.5 AUD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
Returns Accepted: Returns Accepted
Item must be returned within: 60 Days
Return policy details:
EAN: 9783319962467
UPC: 9783319962467
ISBN: 9783319962467
MPN: N/A
Item Length: 23.4 cm
Number of Pages: 354 Pages
Language: English
Publication Name: Computational Aspects and Applications in Large-Scale Networks: NET 2017, Nizhny Novgorod, Russia, June 2017
Publisher: Springer International Publishing Ag
Publication Year: 2018
Subject: Computer Science, Mathematics, Management
Item Height: 235 mm
Item Weight: 723 g
Type: Textbook
Author: Panos M. Pardalos, Oleg Prokopyev, Irina Utkina, Valery A. Kalyagin
Subject Area: Data Analysis
Item Width: 155 mm
Format: Hardcover
