2024 MATRIX Annals, Part I

MATRIX is Australia s residential mathematical research institute. It facilitates new collaborations and mathematical advances through intensive residential research programs, each 1 2 weeks in duration.
This book is a scientific record of the eight research programs held at MATRIX in the first half of 2024, including a tandem workshop with the Research Institute for Mathematical Sciences, Kyoto University (RIMS).

Sommario

Part I.- 1 MATRIX Program: New Deformations of Quantum Field and Gravity Theories.- 2 MATRIX Program: Nijenhuis Geometry and Integrable Systems II.- 3 MATRIX-RIMS Tandem Workshop: Evolutionary Partial Differential Equations and Applications.- 4 MATRIX Program: Low Dimensional Topology: Invariants of Links, Homology Theories, and Complexity.- 5 MATRIX Program: New Deformations of Quantum Field and Gravity Theories.- 6 MATRIX Program: Instabilities of Flows in Porous Media.- 7 MATRIX Program: Harmonic Analytic Connections.- 8 MATRIX Program: Addressing New Modelling and Data Challenges Revealed by The COVID-19 Pandemic.

Dettagli sul prodotto

• Con la collaborazione di: Jan de Gier (Editore), Jan de Gier et al (Editore), Alison M. Etheridge (Editore), Nalini Joshi (Editore), Alison M Etheridge (Editore), David R. Wood (Editore), David R. Wood (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 13.03.2026
• EAN: 9783032162014
• ISBN: 978-3-0-3216201-4
• Pagine: 727
• Illustrazioni: XLII, 727 p.
• Serie: MATRIX Book Series
• Categorie: Scienze naturali, medicina, informatica, tecnica > Matematica; Mathematische Physik, Relativity, Numerische Mathematik, Mathematics, geometry, Topology, Design Theory, Algebraic Geometry, Theoretical, Mathematical and Computational Physics, Computational Mathematics and Numerical Analysis, Partial Differential Equations, Harmonic analysis, Dynamical systems, Statistical Learning, Graph Theory, Statistical Mechanics, Delay Differential Equations, Graph Polynomials, Nonlinear Evolution Problems, Geometric Flows, Stochastic Reinforcement Processes, Computational Mathematics, Monte Carlo Algorithms, Geometric Analysis, Rough Path Theory