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Modeling, Simulation and Optimization in the Health- and Energy-Sector

  • Conference proceedings
  • © 2022

Overview

  • The book shows that applied mathematics is the driving force for new innovations
  • Interdisciplinary projects in relevant fields for the society are presented
  • Modern mathematical tools are applied to challenging problems

Part of the book series: SEMA SIMAI Springer Series (SEMA SIMAI, volume 14)

Part of the book sub series: ICIAM 2019 SEMA SIMAI Springer Series (ICIAM2019SSSS)

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Table of contents (7 papers)

  1. Topical Part: Prognostic MR Thermometry for Thermal Ablation of Liver Tumours

  2. Topical Part: Energy-Efficient High Temperature Processes via Shape Optimisation

Keywords

About this book

This volume is addressed to people who are interested in modern mathematical solutions for real life applications. In particular, mathematical modeling, simulation and optimization is nowadays successfully used in various fields of application, like the energy- or health-sector. Here, mathematics is often the driving force for new innovations and most relevant for the success of many interdisciplinary projects. The presented chapters demonstrate the power of this emerging research field and show how society can benefit from applied mathematics.

Editors and Affiliations

  • Department of Mathematics, Technische Universität Kaiserslautern, Kaiserslautern, Germany

    René Pinnau, Axel Klar

  • Scientific Computing, Technische Universität Kaiserslautern, Kaiserslautern, Germany

    Nicolas R. Gauger

About the editors

René Pinnau is Professor of Industrial Mathematics at the TU Kaiserslautern. He obtained a Ph.D. in Applied Mathematics at TU Kaiserslautern and works since 20 years in the fields of modeling, numerical simulation as well as optimisation and control with partial differential equations. In particular, he is interested in optimal semiconductor design and optimisation of radiation dominant processes.

Nicolas R. Gauger is a Full Professor for Scientific Computing as well as Director of the Computing Center at University of Kaiserslautern (TUK). He has about 20 years of experience in optimization and control with partial differential equations. He has been engaged in several European as well as German projects (BMBF, BMWi, DFG) in this area. His main field of application is in aerospace sciences. in 2019 he has been named an Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA).

Axel Klar is Professor of Numerical Analysis at the TU Kaiserslautern. Previously, he has had positions at the FU Berlin and the TU Darmstadt. He obtained a Ph.D. in Applied Mathematics at TU Kaiserslautern. His research interests range from scientific computing for hyperbolic and kinetic equations to modeling of physical and social phenomena using kinetic theory and hyperbolic PDEs.


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