Design a site like this with WordPress.com
Get started

IWANASP 2023

Régua, Portugal

12-14 October

Rock formations, Argentina.

The Local Organizing Committee looks forward to welcoming you to the IWANASP 2023 in Peso da Régua, Portugal, October 12-14, 2023. The IWANASP (International Workshop on Analysis and Numerical Approximation of Singular Problems) workshops are a forum for the presentation and discussion of new and fundamental advances in the numerical mathematics and analysis of differential or integral equations whose coefficients exhibit singularities.

The main goal of this workshop is to bring together mathematicians working on problems of this type in different fields. The workshop will focus on asymptotic properties of the solutions of equations and discretization methods. Topics covered include mathematical modelling of physical phenomena with singularities, numerical solution of singular boundary value problems for ordinary differential equations, numerical integration of functions with singularities, and computational methods for integral equations with singular kernels.

To date, there have been six editions of IWANASP. The first IWANASP was held in 2004 at the Instituto Superior Técnico (Lisbon), the second IWANASP was organized by the Aegean University, Samos (Greece), in 2006, and the third edition was held again in Portugal (Ericeira) in 2008; the fourth edition was organized by the University of Chester (Chester, UK) in 2011. In 2015, the fifth IWANASP was held in the city of Lagos, in the south of Portugal, and the sixth IWANASP was organized in Cagliari, Italy.

This year we will honour Professors Teresa Diogo and Neville Ford, on the occasion of their retirement.

We look forward to welcoming you soon!

This event is funded by national funds through the FCT – Fundação para a Ciência e a Tecnologia, I.P., under the scope of the projects UIDB/00297/2020 and UIDP/00297/2020 (Center for Mathematics and Applications), UIDB/04621/2020 and UIDP/04621/2020 of CEMAT/ IST-ID (Center for Computational and Stochastic Mathematics), and, 2022.06672.PTDC.