A Simulation Environment for Deep Neural Networks: Theory and Practice

Training Course with Dr. Ralph Grothmann (Siemens AG) April 6-7, 2017 at the University of Bremen Objectives The tutorial deals with the implementation of neural networks in our simulation and development environment, short SENN. We will introduce the theory of simple and deep feedforward neural networks and show how to implement these models in our […]

KoMSO Challenge Workshop on “Challenges for Mathematical MSO for Advanced Process Control of Batch Processes”

With great pleasure we announce the KoMSO Challenge Workshop on “Challenges for Mathematical Modeling, Simulation and Optimization for Advanced Process Control of Batch Processes” February 9-10, 2017 Interdisciplinary Center for Scientific Computing (IWR) Heidelberg University Mathematikon Im Neuenheimer Feld 205 69120 Heidelberg Germany http://www.KoMSO.org Objectives
 Batch processes are an important way of manufacturing chemicals. They […]

KoMSO Challenge Workshop on “Reduced-Order Modeling for Simulation & Optimization: Powerful Algorithms as Key Enablers for Scientific Computing”

With great pleasure we announce the KoMSO Challenge Workshop on “Reduced-Order Modeling for Simulation & Optimization: Powerful Algorithms as Key Enablers for Scientific Computing” November 17-18, 2016 Bosch Bosch GmbH / Corporate Research Robert-Bosch-Campus 1 71272 Renningen Germany http://www.KoMSO.org Objectives Growing demand for numerical solutions in scientific computing (modeling, simulation, data analysis, optimization problems in […]

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

We would hereby like to kindly invite your contribution to the KoMSO CHALLENGE WORKSHOP on 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. http://www.KoMSO.org Objectives Growing demand for numerical solutions in scientific computing (modeling, simulation, […]