E-Book, Englisch, Band 2, 691 Seiten, eBook
Reihe: MATRIX Book Series
de Gier / Praeger / Tao 2017 MATRIX Annals
1. Auflage 2019
ISBN: 978-3-030-04161-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, Band 2, 691 Seiten, eBook
Reihe: MATRIX Book Series
ISBN: 978-3-030-04161-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
MATRIX is Australia’s international and residential mathematical research institute. It facilitates new collaborations and mathematical advances through intensive residential research programs, each 1-4 weeks in duration. This book is a scientific record of the eight programs held at MATRIX in its second year, 2017:
- Hypergeometric Motives and Calabi–Yau Differential Equations- Computational Inverse Problems- Integrability in Low-Dimensional Quantum Systems- Elliptic Partial Differential Equations of Second Order: Celebrating 40 Years of Gilbarg and Trudinger’s Book- Combinatorics, Statistical Mechanics, and Conformal Field Theory- Mathematics of Risk- Tutte Centenary Retreat- Geometric R-Matrices: from Geometry to ProbabilityThe articles are grouped into peer-reviewed contributions and other contributions. The peer-reviewed articles present original results or reviews on a topic related to the MATRIX program; the remaining contributions are predominantly lecture notes or short articles based on talks or activities at MATRIX.
Zielgruppe
Research
Weitere Infos & Material
Preface.-
I Refereed Articles:
1 Computational Inverse Problems.- 2 Integrability in Low-Dimensional Quantum Systems.- 3 Elliptic Partial Differential Equations of Second Order: Celebrating 40 Years of Gilbarg and Trudinger’s Book.- 4 Mathematics of Risk.- 5 Tutte Centenary Retreat.- 6 Geometric R-Matrices: from Geometry to Probability.-
II Other Contributed Articles:
7 Hypergeometric Motives and Calabi–Yau Differential Equations.- 8 Computational Inverse Problems.- 9 Combinatorics, Statistical Mechanics, and Conformal Field Theory.- 10 Mathematics of Risk.- Geometric R-Matrices: from Geometry to Probability.