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Institute for Computational and Experimental Research in Mathematics (ICERM)

Systems of interacting particles or agents are studied across many scientific disciplines. They are used as effective models in a wide variety of sciences and applications, to represent the dynamics of particles in physics, cells in biology, people in urban mobility studies, but also, more abstractly in the context of mathematics, as sample particles in Monte Carlo simulations or parameters of neural networks in machine learning. This workshop aims at bringing together researchers in analysis, computation, inference, control and applications, to facilitate cross-fertilization and collaborations.

Email.: info@icerm.brown.edu

Simulation,    Mathématiques appliquées (en général)

American Institute of Mathematics (AIM)

This workshop, sponsored by AIM and the NSF, will be devoted to the study of high-dimensional phenomena in discrete analysis and will touch upon themes in additive combinatorics, discrete geometry and extremal combinatorics. Each of these areas, which share many common techniques and ideas, have experienced enormous growth and seen the solution to longstanding problems in recent years. The goal of this workshop is to bring together a range of researchers with expertise in each of these areas to find common ground, start new collaborations and make progress on some of the fundamental questions in these areas.

The main topics for the workshop are: Quantitative estimates on multidimensional Szemerédi-type theorems, Incidence results in higher dimensions, Extremal problems for hypergraphs.

Analyse,    Théorie des graphes et combinatoire

Institute for Computational and Experimental Research in Mathematics (ICERM)

This workshop focuses on the role of random matrices in data science, machine learning, and theoretical computer science. The goal is to discuss a number of hot topics in these areas, focusing on recent theoretical progress and the potential pool of applications, in a manner that is accessible to a wide audience, including researchers in data science, electrical engineering, statistics, and numerical analysis.

Email.: info@icerm.brown.edu

data science, machine learning, theoretical computer science, electrical engineering, statistics, and numerical analysis

Calcul scientifique et science des données,    Mathématiques appliquées (en général)

Institute for Computational and Experimental Research in Mathematics (ICERM)

Numerical solutions to optimization problems are used to study the putative geometric and arithmetic structure of the corresponding optimal configurations. As such, there is a need to expand the use of numerical and computational methods to solve these problems. Our goal is to provide a forum to explore problems in point configurations and distributions from the various aforementioned perspectives.

Email.: info@icerm.brown.edu

Society for Industrial and Applied Mathematics (SIAM)

Mathématiques appliquées (en général),    Calcul infinitésimal, équations différentielles et intégrales

Institute for Computational and Experimental Research in Mathematics (ICERM)

The central theme of this workshop is the analysis and computation of Schrödinger operators and applications to nonlinear problems in several areas of Mathematical Physics, Analysis of Partial Differential Equations, Quantum Chemistry and more. The simplest, most basic example, of such an operator is of the form H = −∆+V on an appropriate Hilbert space, and their Dirac analogues.

Email.: info@icerm.brown.edu

Mathématiques appliquées (en général),    Physique mathématique