Overview
- Includes research on 3D models from sketches and for use in virtual city planning
- Presents a method for enhancing the run-time reliability of a processing array in mission-critical systems
- Contains research on nature-inspired algorithms, algorithms for generating strongly chordal graphs, and the analysis and optimization of Low Power Wide Area IoT networks
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12620)
Part of the book sub series: Transactions on Computational Science (TCOMPUTATSCIE)
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About this book
The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings, and solutions, and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods.
This, the 38th issue of the Transactions on Computational Science, is devoted to research on modelling, optimization, and graphs, with applications in 3D and sketch modelling, engineering design, evolutionary computing, and networks.
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Keywords
Table of contents (7 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
Bibliographic Information
Book Title: Transactions on Computational Science XXXVIII
Editors: Marina L. Gavrilova, C.J. Kenneth Tan
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-63170-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2021
Softcover ISBN: 978-3-662-63169-0Published: 25 March 2021
eBook ISBN: 978-3-662-63170-6Published: 24 March 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 145
Number of Illustrations: 40 b/w illustrations, 34 illustrations in colour
Topics: Computer Graphics, Algorithm Analysis and Problem Complexity, Information Systems and Communication Service, Mathematics of Computing, Computer Imaging, Vision, Pattern Recognition and Graphics