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UNICAM - Università di Camerino; POLITO - Politecnico di Torino; UNINA - Università degli Studi di Napoli Federico II

The workshop "Scientific toolkit for kernel-based approximation and its applications" (SToK2023) seeks to combine scientific computing software on meshless approximation techniques into a single multi-purpose tool. This program will allow researchers to test cutting-edge numerical techniques on test problems as well as solve challenging real-world situations. The workshop aims to lay the groundwork for the creation and subsequent development of a widely used scientific library based on kernel-based approximation techniques, a tool that, unlike mature competitors based on classical approximation techniques (e.g., finite elements and finite volumes), is currently unavailable in the world of scientific research. Finally, the workshop seeks to be a breeding ground for ideas for young researchers whose research interests overlap with the theme of SToK2023, as well as for young researchers.

Email: josephin.giacomini@unicam.it

kernel-based approximation, scientific computing, meshless approximation, numerical schemes, real-world problems, scientific library, inverse problems, imaging, fluid dynamics, biomechanics, hydrogeology, hackathon, software development

Numerical Analysis and Computational Mathematics,    Courses and Events for Math Students and Early Career Researchers

Society for Industrial and Applied Mathematics (SIAM)

Uncertainty quantification (UQ) is essential for establishing the reliability of predictions made by computational models. Such models are often deterministic, and the UQ discipline has traditionally focused on how to quantify uncertainty in that case. Statistical methods play a major role in that effort, and represent an alternative modeling strategy when less is known about the system of interest. The two approaches are naturally synergistic, and with the emergence of machine learning as a practical tool, it is becoming more important than ever to view the whole UQ ecosystem through a unifying lens. UQ is application-driven and inherently interdisciplinary, relying on a broad range of mathematical and statistical foundations, domain knowledge, and algorithmic and computational tools. UQ24 will bring together mathematicians, statisticians, scientists, engineers, and others interested in the theory, development, and application of UQ methods.

Major conference themes will include mathematical and statistical foundations, data-driven approaches and computational advances, applications of UQ in biology, medicine, environmental and climate sciences, decision making for societal benefit, and all areas of physical science and engineering.

Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy

Geometry and Topology,    Number Theory, Arithmetic

Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy / IAEA

Atomic and Molecular Physics,    Computational Physics and Numerical Simulation