Progress in Industrial Mathematics at ECMI 2021

1. Front Matter

   Pages i-xxv

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2. Model Reduction for a Port-Hamiltonian Formulation of the Euler Equations

   • Sarah-Alexa Hauschild, Nicole Marheineke

   Pages 1-7

3. ECMI Modelling Week: First Time in Russia and First Time Online

   • Tatiana Pogarskaia, Sergey Lupuleac, Matti Heiliö

   Pages 9-15

4. Parameter Calibration with Consensus-Based Optimization for Interaction Dynamics Driven by Neural Networks

   • Claudia Totzeck, Simone Göttlich

   Pages 17-22

5. Cancer Fingerprints by Topological Data Analysis

   • Ana Carpio

   Pages 23-29

6. Projected AQIF Parallel Algorithm for Solving EHL Line and Point Contact Problems: Parallel Computing

   • Peeyush Singh, Pravir K. Dutt

   Pages 31-37

7. Effectivity Analysis of Operator Splitting and the Average Method

   • Lívia Boda, István Faragó

   Pages 39-45

8. Numerical Solutions of Boundary Value Problems Using the Carleman Linearisation Method

   • Gabriella Svantnerné Sebestyén

   Pages 47-52

9. Immersed Boundary Models of Biofilm Spread

   • Ana Carpio, Rafael González-Albaladejo

   Pages 53-59

10. Numerical Simulation of a Four Serotype Dengue Fever Model

    • Gaby Folger, Kurt Chudej

    Pages 61-66

11. The Effect of the Number of Neural Networks on Deep Learning Schemes for Solving High Dimensional Nonlinear Backward Stochastic Differential Equations

    • Lorenc Kapllani

    Pages 67-73

12. Qualitatively Correct Numerical Methods for the Basic Ross–Macdonald Malaria Model

    • István Faragó, Miklós E. Mincsovics, Rahele Mosleh

    Pages 75-81

13. Dynamics of a Delayed Kaldor-Kalecki Model of Mutually Linked Economies

    • Juancho A. Collera, Rainier Ric B. de la Cruz

    Pages 83-89

14. Dynamic Iterations for Nonlinear Systems Applied in Population Dynamics

    • Barbara Zubik-Kowal

    Pages 91-97

15. Delay Differential Equations for Epidemic Models with Temporary Immunity

    • Roland Pulch

    Pages 99-105

16. Next-Gen Gas Network Simulation

    • Christian Himpe, Sara Grundel, Peter Benner

    Pages 107-113

17. Parameter Estimation via Adjoint Functions in Epidemiological Reaction-Diffusion Models

    • Peter Heidrich, Thomas Götz

    Pages 115-122

18. Graph-Based View of an Equilibrium Model for Nonwoven Tensile Strength Simulations

    • Marc Harmening, Nicole Marheineke, Raimund Wegener

    Pages 123-129

19. Global-Scale or Fine-Scale Modelling? A Critical Look at Experimental Design

    • Jochen Wittmann

    Pages 131-137

20. An Isogeometric One-Dimensional Model for Developable Flexible Elastic Strips

    • Benjamin Bauer, Michael Roller, Joachim Linn, Bernd Simeon

    Pages 139-145

This book gathers peer-reviewed contributions submitted to the 21st European Conference on Mathematics for Industry, ECMI 2021, which was virtually held online, hosted by the University of Wuppertal, Germany, from April 13th to April 15th, 2021. The works explore mathematics in a wide variety of applications, ranging from problems in electronics, energy and the environment, to mechanics and mechatronics. Topics covered include: Applied Physics, Biology and Medicine, Cybersecurity, Data Science, Economics, Finance and Insurance, Energy, Production Systems, Social Challenges, and Vehicles and Transportation.

The goal of the European Consortium for Mathematics in Industry (ECMI) conference series is to promote interaction between academia and industry, leading to innovations in both fields. These events have attracted leading experts from business, science and academia, and have promoted the application of novel mathematical technologies to industry. They have also encouraged industrial sectors to share challenging problems where mathematicians can provide fresh insights and perspectives. Lastly, the ECMI conferences are one of the main forums in which significant advances in industrial mathematics are presented, bringing together prominent figures from business, science and academia to promote the use of innovative mathematics in industry.

• applied mathematics
• industrial mathematics
• mathematical modeling
• numerical analysis
• numerical methods
• fluid dynamics
• biomathematics
• image processing
• social science modeling
• cooperative dynamics
• mathematical analysis
• PDE
• partial differential equations
• variational methods
• machine learning
• continuous optimization
• data science
• information theory
• network geometry
• network topology

• Angewandte Mathematik und Numerische Analysis, Bergische Universität Wuppertal, Wuppertal, Germany

  Matthias Ehrhardt, Michael Günther

MATTHIAS EHRHARDT is a Professor for Applied Mathematics and Numerical Analysis at the IMACM, the Institute for Mathematical Modelling, Analysis and Computational Mathematics at the University of Wuppertal. His research fields are the numerical solution of partial differential equations, especially on unbounded domains und numerical methods in computational finance.

MICHAEL GÜNTHER is a Professor for Applied Mathematics and Numerical Analysis at the IMACM, the Institute for Mathematical Modelling, Analysis and Computational Mathematics at the University of Wuppertal.  His main research field is the modelling, analysis and numerical simulation of time-dependent coupled heterogeneous problems with applications in  computational engineering, computational finance and computational physics.  

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