Call for Contributions – KoMSO Challenge Workshop “Reduced-Order Modeling for Simulation and Optimization”

We would hereby like to kindly invite your contribution to the


Reduced-Order Modeling for Simulation and Optimization:
Powerful Algorithms as Key Enablers for Scientific Computing

taking place on November 17 & 18, 2016
at Bosch Research Campus, Renningen, Germany.

Motiv c
Growing demand for numerical solutions in scientific computing (modeling, simulation, data analysis, optimization problems in many application fields) requires ever higher algorithmic and computational performance.

It has been shown in many cases that the advancement of mathematical algorithms has increased the arithmetic performance clearly more than the improvements of computer hardware alone.

The KoMSO workshop puts particular emphasis on the advancement of efficient numerical procedures. Presentations of new out-of-the-box algorithmic solutions for scientific computing are invited – in particular for reduced-order MSO.

It is the purpose of this workshop to bring together the creators and developers of new, optimal fast mathematical algorithms and their potential industrial users. Requirements, application fields, needs, and benefits of effort-saving fast algorithms will be presented.

This event is jointly organized by KoMSO, Konstanz University and the Robert Bosch GmbH.

Call for Contributions
We invite you to submit contributions for oral presentations. We call for abstracts of maximum 2 pages. Submissions should be written in English.

Important Deadlines
September 15, 2016: Submission of abstracts
October 17, 2016: Notification of acceptance

Please submit your abstracts in Word or PDF format via email to

Confirmed speakers
Michael Dellnitz (Paderborn University)
Jörg Fehr (University of Stuttgart)
Michael Hinze (Hamburg University)
Stefan Kurz (Robert Bosch GmbH)
Volker Mehrmann (TU Berlin)
Michael Rieger (BASF SE)
Karsten Urban (Ulm University)

Winfried Keiper (Robert Bosch GmbH)
Anja Milde (KoMSO)
Stefan Volkwein (University of Konstanz)

Further Information
is available at the event website.