Conferences  >  Mathematics  >  Graph Theory and Combinatorics

Institute for Computational and Experimental Research in Mathematics

Cracking the neural code is one of the longstanding questions in neuroscience. How does the activity of populations of neurons represent stimuli and perform neural computations? Decades of theoretical and experimental work have provided valuable clues about the principles of neural coding, as well as descriptive understandings of various neural codes. This raises a number of mathematical questions touching on algebra, combinatorics, probability, and geometry. This workshop will explore questions that arise from sensory perception and processing in olfactory, auditory, and visual coding, as well as properties of place field codes and grid cell codes, mechanisms for decoding population activity, and the role of noise and correlations. These questions may be tackled with techniques from information theory, mathematical coding theory, combinatorial commutative algebra, hyperplane arrangements, oriented matroids, convex geometry, statistical mechanics, and more.

Email: communications@icerm.brown.edu

The KOI Combinatorics Lectures is a joint venture between combinatorialists from the Kentucky, Ohio and Indiana area. The goal of this series of meetings is to foster and build intergenerational friendship and collaboration between researchers broadly defined (graduate students, postdocs, faculty) in the KOI area.

combinatorics, algebraic geometry, algebra

Algebra,    Geometry and Topology

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Geometry and Topology,    Algebra

Organized By: Department of Mathematics, School of Engineering Amrita Vishwa Vidyapeetham, Coimbatore

Graph Theory has witnessed an unprecedented growth in the 21th century and in subsequent years. The best barometer to indicate this growth is the explosion in the number of pages that Section 05C: Combinatorics (in which the major part is taken away by graph theory) occupies in the Math Reviews. One of the main reasons for this growth is the applicability of graph theory in many other areas such as physics, chemistry, psychology, sociology and most importantly computer science, besides its own intrinsic problems. Currently, graph theory has come to be applied to large scale networks including the worldwide web, ordering of hyperlinks and GPS routing. In the proposed Amrita Conference of December 2023, several leading world-renowned experts from outside India have agreed to participate and deliver talks. In addition, several leading Indian graph theorist have also confirmed their participation

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Courses and Events for Math Students and Early Career Researchers,    Algebra

Isaac Newton Institute for Mathematical Sciences (INI)

This workshop focuses on the following themes and their interactions: 1. Geometric and equivariant aspects of algebraic statistics 2. Computation of invariants in algebraic (especially toric) geometry 3. Algebraic group actions on combinatorial spaces

Algebra,    Geometry and Topology

Shahid Rajaee Teacher Training University

Group theory plays an important role in different branches of Mathematics, for example, Geometry, Number Theory and Analysis. Also group theory is one of the most powerful mathematical tools used in applied mathematics, cryptography, coding theory, steganography, quantum chemistry, spectroscopy, robotics, computer vision and quantum computation . It allows the user to predict, interpret, rationalize, and often simplify complex theory and data. The development in each field of group theory is getting faster and deeper. This fact makes all researchers to reach for a better understanding of the current works and developments, in all fields of group theory and its applications. The aim of this conference is to exchange the research ideas amongst the group theorists. In addition, specialists in the subject of group theory can present their latest research works and encourage the interested students to progress and widen their knowledge in group theory.

Phone: [+989124074398];     Email: igtc16.sru@gmail.com

Permutation Groups Groups and Combinatorics Linear Groups Geometric and Combinatorial Groups Representation Theory and Character Theory Monoids, Semigroups, Hypergroup Probabilistic methods in group theory Algorithmic problems in finite groups Infinite Groups

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Many big data sets in various application domains have complex relationships, which can be modelled as graphs, consisting of entities and relationships between them. Consequently, graphs are extensively studied in both Mathematics and Computer science. In particular, planar graphs, which can be drawn without edge crossings in the plane, form a distinguished role in Graph Theory and Graph Algorithms. Many structural properties of planar graphs are investigated, in terms of excluded minors, low density, and small separators, which lead to efficient algorithms for planar graphs. Consequently, fundamental algorithms for planar graphs have been discovered. However, most real-world graphs, such as social networks and biological networks, are nonplanar. For example, the scale-free networks, which are used to model web graphs, social networks and biological networks, are globally sparse nonplanar graphs, with locally dense clusters and low diameters. To understand such real-world networks, we need to solve fundamental mathematical and algorithmic research questions on beyond-planar graphs, which generalize the notion of planar graphs, in terms of topological constraints or forbidden edge crossing patterns.

Information & Knowledge Management, Big Data Computing,    Scientific Computing and Data Science

Geometry and Topology,    Number Theory, Arithmetic

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematical Sciences Research Institute (MSRI)

his workshop brings together experts from different areas to discuss and foster collaboration on several topics of current interest related to Artin groups such as the K(π, 1) conjecture, hyperplane arrangements and abelian arrangements, combinatorial structures associated with dual Coxeter systems, and complexes of nonpositive curvature.

Group Theory,    Geometry and Topology

Mathematical Sciences Research Institute (MSRI)

This workshop brings together experts from different areas to discuss and foster collaboration on several topics of current interest related to Artin groups such as the K(π, 1) conjecture, hyperplane arrangements and abelian arrangements, combinatorial structures associated with dual Coxeter systems, and complexes of nonpositive curvature.

Group Theory,    Geometry and Topology

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Courses and Events for Math Students and Early Career Researchers,    Molecular Biology

Isaac Newton Institute for Mathematical Sciences

This workshop is a celebration of the mathematics of Timothy Gowers, on the occasion of his 60th birthday. There will be speakers from across the spectrum of Gowers's mathematical interests, from Banach Space Theory to Combinatorics and Additive Number Theory, Theoretical Computer Science and Pedagogy.

General Mathematical Research and Multidisciplinary Events,    Number Theory, Arithmetic

CIRM – Centre International de Rencontres Mathématiques

Institute for Pure and Applied Mathematics (IPAM)

We have seen how probability motivates new research directions in algebraic combinatorics and how algebraic combinatorics leads to new discoveries in probability. The aim of the workshop is to further stimulate the cross-infiltration of the ideas between two fields.

Part of the Long Program Geometry, Statistical Mechanics, and Integrability

Simons Laufer Mathematical Sciences Institute (SLMath)

This meeting will feature principal contributors in these areas in a celebration of the work of Georgia Benkart. With the same focus and tenacity that Georgia always had, we will strive to provide a conference full of beautiful mathematics, incredible inspiration, and the warmth of Georgia’s welcoming personality to our field and our community.

Lie algebras, Representation theory, combinatorics

Mathematical Sciences Research Institute (MSRI)

This workshop will have a view to the future of a broad spectrum of topics including structure and classification of finite dimensional Lie algebras and superalgebras in characteristic p structure of infinite dimensional Lie algebras and their representations deformation theory of algebras, double constructions and elemental Lie algebras diagram algebras and combinatorial representation theory algebraic combinatorics of groups of Lie type:characters, Schur-Weyl duality, Bratteli diagrams, and McKay correspondences quantum groups and crystal bases, particularly for superalgebras and affine algebras examples of fusion categories arising from representations of Drinfeld doubles and other algebras cohomology for finite tensor categories with applications to its underlying geometry

This meeting will feature principal contributors in these areas in a celebration of the work of Georgia Benkart. With the same focus and tenacity that Georgia always had, we will strive to provide a conference full of beautiful mathematics, incredible inspiration, and the warmth of Georgia’s welcoming personality to our field and our community.

Institute for Pure and Applied Mathematics (IPAM)

While classical “integrable” statistical mechanics has been restricted to one and two dimensions, recent ideas have extended our understanding to (some) higher dimensional situations, or to models on non-planar graphs. These include graph limits, posets, multinomial models, random complexes and random groups, and more. While these topics are quite diverse, they nonetheless have common tools, notably the use of random walks, the graph laplacian, homology theory, and determinants. Topics will include: Benjamini-Schramm limits of graphs, unimodular measures, spanning trees and spanning complexes, chip firing/sandpile models, matroids, higher determinantal processes, random complexes, multinomial models, random groups, rigidity, and statistical physics in more than two dimensions.

Casa Matemática Oaxaca (CMO)

In recent years, researchers have discovered an unexpected mathematical connection between two different areas of physics. One community of researchers, working to make more precise predictions for particle physics experiments like the Large Hadron Collider, has discovered that their calculations involve increasingly complicated mathematical structures, described by the mathematical discipline of algebraic geometry. Some of these calculations, involving a mathematical object called an elliptic curve, have been the focus of much recent progress. However, more complicated calculations involve yet more complicated geometries. Some of these involve more than one elliptic curve, while others involve a type of geometry studied in a very different area of physics: Calabi-Yau manifolds, previously studied as a potential shape for the extra dimensions of string theory. This workshop will bring together experts in this intersection of topics: particle physicists who aim to tackle calculations with multiple elliptic curves and Calabi-Yau manifolds, string theorists, and mathematicians who study topics that tie the two areas together such as algebraic geometry and combinatorics. The workshop will foster dialogue between these groups, a fresh exchange of ideas that should yield new insights and new progress.

High Energy Physics, Particles and Fields,    Geometry and Topology

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

University of Alcalá, Department of Physics and Mathematics

Created in 2016 as an international conference inheriting the tradition of the Spanish meeting on Discrete Mathematics, the Discrete Mathematics Days achieve the participation of excellent researchers from all over the world.

Coding Theory and Cryptography, Combinatorial Number Theory, Combinatorics, Discrete and Computational Geometry, Discrete Optimization, Graph Theory, Theoretical Computer Science.

Numerical Analysis and Computational Mathematics,    Number Theory, Arithmetic

Alfréd Rényi Institute of Mathematics

In 2024, Péter Frankl, Zoltán Füredi, Ervin Győri and János Pach will turn 70. On the occasion of this joyful event, we organize a conference Sum(m)it280. We would like to invite you to celebrate these four Hungarian combinatorialists with us. Here is a list of speakers who have already accepted our invitation to give plenary talks at the conference: Noga Alon, Maria Axenovich, Béla Bollobás, Jacob Fox, Balázs Keszegh, Younjin Kim, Alexandr Kostochka, Andrey Kupavskii, Abhishek Methuku, Géza Tóth, Jacques Verstraete, Jian Wang.

combinatorics

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Courses and Events for Math Students and Early Career Researchers,    Geometry and Topology

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Courses and Events for Math Students and Early Career Researchers,    Geometry and Topology

Banach Center

CIRM – Centre International de Rencontres Mathématiques

CIRM – Centre International de Rencontres Mathématiques

Algebra,    Group Theory

Isaac Newton Institute for Mathematical Sciences

This workshop will focus on various aspects of the geometry of interacting random paths. The aim is to bring together researchers specialising in random processes such as branching random walks, activated random walks, random interlacements, and other models of interacting random walks, as well as their continuous time counterparts. The workshop will explore questions and results concerning the geometry of the ranges of these processes, and further properties of their occupation time fields, for instance, their associated “thick points”. It will include two-mini courses in addition to the programme of research talks.

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Simons Laufer Mathematical Sciences Institute (SLMath)

This workshop will feature leading experts in several major areas of graph theory, including extremal, probabilistic and structural aspects of the field. Introductory lectures will form an important part of the program, providing background and motivation, and aimed at a general mathematical audience. Complementing these, research talks will share exciting recent developments in graph theory.

extremal graph theory, random graphs, probabilistic methods, structural graph theory, Ramsey theory

Simons Laufer Mathematical Sciences Institute (SLMath)

Many exciting breakthroughs in combinatorics involve innovative applications of techniques from a wide range of areas such as harmonic analysis, polynomial and linear algebraic methods, spectral graph theory, and representation theory. This workshop will present recent developments in this area and facilitate discussions of research problems.

extremal combinatorics, extremal graph theory, probabilistic combinatorics, discrete geometry, additive combinatorics, combinatorial geometry, incidence geometry, arithmetic progressions, Discrete analysis

Algebra,    Analysis

Simons Laufer Mathematical Sciences Institute (SLMath)

In a growing number of applications, one needs to analyze and interpret data coming from massive networks. The statistical problems arising from such applications lead to important mathematical challenges: building novel probabilistic models, understanding the possibilities and limitations for statistical detection and inference, designing efficient algorithms, and understanding the inherent limitations of fast algorithms. The workshop will bring together leading researchers in combinatorial statistics, machine learning, and random graphs in the hope of cross-fertilization of ideas.

combinatorial statistics, random graphs, network inference, network reconstruction, detection, estimation

Complex Networks,    Scientific Computing and Data Science