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

Amazingly, splines are not just of practical interest in applications, but also are interesting from a purely theoretical mathematical perspective. This workshop brings together researchers from different mathematical communities: on the applied side, those working in numerical analysis and approximation theory, and on the theoretical side, those working in GKM theory, equivariant cohomology and homological algebra. The aim is to bring theory and practice together, and to build collaborations between researchers from different areas. The advancement of knowledge often arises from integration of seemingly different fields.

Mathématiques numériques,    Calcul infinitésimal, équations différentielles et intégrales

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

Cours et évènements pour étudiants en mathématiques,    Physique de la matière condensée et des matériaux

Queen's University, Department of Mathematics and Statistics

The Queen's Mathematics Summer School is open to students who are interested in spending one week learning exciting, cutting-edge mathematics on the beautiful campus of Queen's University by the shores of Lake Ontario. There will be three courses, each with 9 hours of lecture time over the week.

Organizing Committee;     Tél.: [613-533-2390];     Email.: qmss24@queensu.ca

Hyperbolic PDEs, Hamilton-Jacobi, applications to vehicular traffic, temporal difference learning, non-convex optimization, sample complexity, polynomial solutions to polynomial equations, genera, elliptic curves

Mathématiques générales et evénement multidisciplinaires,    Cours et évènements pour étudiants en mathématiques

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

Cours et évènements pour étudiants en mathématiques,    Physique de la matière condensée et des matériaux

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

Drug design and development are costly and lengthy. Mathematical and computational modelling anchored in model-informed drug development (MIDD) and quantitative systems pharmacology (QSP) methodologies are integral to accelerating the R&D pipeline. In parallel, MIDD and QSP can be used to better understand the biological basis of drug responses and fuel new biomedical research paths. This workshop will bring together experts in the fields of MIDD and QSP with the goal of strengthening ties between industrial and academic researchers and advancing these exciting fields.

Simulation,    Pharmacologie et développement des médicaments