Overview
- Features important perspectives on computational discovery and computational epistemology, and presents them in an accessible way
- Contains state of the art discussions by experts on a broad collection of topics that includes pure and applied mathematics, computer science, and philosophy of science
- Offers new and useful ways to contextualize the issues of reliability and reproducible of computation
- Contributes to building a network of scholars from varied backgrounds with interests in the multifaceted field of computational mathematics and epistemology
Part of the book series: Fields Institute Communications (FIC, volume 82)
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Table of contents (10 papers)
Keywords
About this book
By bringing together contributions from researchers who approach the mathematical sciences from different perspectives, the volume will further readers' understanding of the multifaceted role of mathematics in modern science, informed by the state of the art in mathematics, scientific computing, and current modeling techniques.
Editors and Affiliations
Bibliographic Information
Book Title: Algorithms and Complexity in Mathematics, Epistemology, and Science
Book Subtitle: Proceedings of 2015 and 2016 ACMES Conferences
Editors: Nicolas Fillion, Robert M. Corless, Ilias S. Kotsireas
Series Title: Fields Institute Communications
DOI: https://doi.org/10.1007/978-1-4939-9051-1
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2019
Hardcover ISBN: 978-1-4939-9050-4Published: 08 February 2019
eBook ISBN: 978-1-4939-9051-1Published: 07 February 2019
Series ISSN: 1069-5265
Series E-ISSN: 2194-1564
Edition Number: 1
Number of Pages: XI, 294
Number of Illustrations: 25 b/w illustrations, 28 illustrations in colour
Topics: Computational Mathematics and Numerical Analysis, Epistemology, Math Applications in Computer Science, Combinatorics