https://jahrestagung.gamm.org/annual-meeting-2026/important-dates-fees/
We are pleased to announce the GAMM Annual Meeting 2026 (website) and in particular its Optimization Section.
When? March 16 - 20, 2026
Where? University of Stuttgart
Registration: March 1, 2026 (Start of online registration: November 15, 2025)
About GAMM:
GAMM defines itself as an interdisciplinary network for researchers from applied mathematics and mechanics as well as their sub- and neighboring fields.
The GAMM annual convention, at which up to 1,200 participants meet up for a joint exchange of ideas, is complemented by direct interdisciplinary cooperation, which primarily takes place in expert committees. The promotion of early career researchers is at the heart of GAMM.
Local Chairs:
Prof. Tim Ricken, Prof. Oliver Röhrle
Optimization Section:
Optimization is the next natural step after simulation with increasing importance in the future. The aim of this session is to provide the basis of a holistic overview of all areas of optimization. Thus abstracts from both a theoretical as well as an applied perspective are welcome.
We invite you to participate and to submit an abstract and optionally a post-conference short paper for the GAMM Proceedings (PAMM).
Abstract submission:
Short communications (20-minute talks including discussion) can be submitted in the form of abstracts (max. 400 words, plain English text) to our section. GAMM's policy allows each participant to give at most one talk. The collected abstracts will be published online.
Proceedings:
Papers presented in sections may be published electronically in PAMM (“Proceedings in Applied Mathematics and Mechanics”). The papers need to be at least six pages long and will undergo peer-review. The deadline for submission is May 31, 2026.
Important dates:
(Extended) Abstract submission deadline: January 8, 2026.
Notification of acceptance of abstract: January 15, 2026
Closure of online registration: March 1, 2026
Conference: March 16 - 20, 2026
We hope to see you in Stuttgart next year!
Christoph Hansknecht (TU Clausthal)
Alberto De Marchi (Uni Bundeswehr Munich)