Overview

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 14 research programs held at MATRIX in 2023, including combined events with the Mathematisches Forschungsinstitut Oberwolfach (MFO), and with the Research Institute for Mathematical Sciences Kyoto University (RIMS).

Full Product Details

Author:   David R. Wood ,  Alison M. Etheridge ,  Jan de Gier ,  Nalini Joshi
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2025 ed.
Volume:   6
ISBN:  

9783031767371

ISBN 10:   3031767373
Pages:   726
Publication Date:   03 July 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available  
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Table of Contents

I Refereed Articles.- 1 MATRIX Program: Minimal Surfaces and Geometric Flows: Interaction Between the Local and the Nonlocal Worlds.- 2 MATRIX Programm: Computational Mathematics for High-Dimensional Data in Statistical Learning.- 3 MATRIX Program: Dynamics, Foliations, and Geometry III.-  4 MATRIX-IBS Workshop: Structural Graph Theory Downunder III.- 5 MATRIX Program: Monte Carlo Algorithms in Statistical Mechanics.- 6 MATRIX Program: Spectrum and Symmetry for Group Actions in Differential Geometry II.- 7 MATRIX Program: Hyperbolic PDEs and Nonlinear Evolution Problems.- 8 MATRIX Program: Uniqueness and Discernment in Graph Polynomials.- 9 MATRIX Program: Delay Differential Equations and their Applications.- II Other Contributed Articles.- 10 MATRIX-MFO Tandem Workshop: Stochastic Reinforcement Processes and Graphs.- 11 MATRIX Program: Minimal Surfaces and Geometric Flows: Interaction Between the Local and the Nonlocal Worlds.- 12 MATRIX Program: Monte Carlo Algorithms in Statistical Mechanics.- 13 MATRIX Program: Extremal Problems in Graphs, Designs, and Geometries.

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