Front cover image for Progress in industrial mathematics at ECMI 2021 : 21st ECMI Conference, Wuppertal, Germany, April 13-15, selected and reviewed papers

Progress in industrial mathematics at ECMI 2021 : 21st ECMI Conference, Wuppertal, Germany, April 13-15, selected and reviewed papers

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
eBook, English, 2022
Springer, Cham, 2022
Conference papers and proceedings
1 online resource (xxv, 541 pages) : illustrations (chiefly color).
9783031118180, 3031118189
Chapter 1. Model Reduction for a port-Hamiltonian Formulation of the Euler Equations
Chapter 2. ECMI Modelling Week: First Time in Russia and First Time Online
Chapter 3. Parameter Calibration with Consensus-Based Optimization for Interaction Dynamics Driven by Neural Networks
Chapter 4. Cancer Fingerprints by Topological Data Analysis
Chapter 5. Projected AQIF Parallel Algorithm for Solving EHL Line Contact Problems: Parallel Computing
Chapter 6. Effectivity Analysis of Operator Splitting and the Average Method
Chapter 7. Application of the Carleman Linearisation to Two-Point Boundary Value Problems
Chapter 8. Immersed Boundary Models of Biofilm Spread
Chapter 9. Numerical Simulation of a Four Serotype Dengue Fever Model
Chapter 10. The Effect of the Number of Neural Networks on Deep Learning Schemes for Solving High Dimensional Nonlinear Backward Stochastic Differential Equations
Chapter 11. Qualitatively Correct Numerical Methods for the Basic RossMacdonald Malaria Model
Chapter 12. Dynamics of a Delayed Kaldor-Kalecki Model of Mutually Linked Economies
Chapter 13. Dynamic Iterations for Nonlinear Systems Applied in Population Dynamics
Chapter 14. Delay Differential Equations for Epidemic Models with Temporary Immunity
Chapter 15. Next-Gen Gas Network Simulation
Chapter 16. Parameter Estimation via Adjoint Functions in Epidemiological Reaction-Diffusion Models
Chapter 17. Graph-based View of an Equilibrium Model for Nonwoven Tensile Strength Simulations
Chapter 18. Global-Scale or Fine-Scale Modelling? A Critical Look at Experimental Design
Chapter 19. An Isogeometric One-Dimensional Model for Developable Flexible Elastic Strips
Chapter 20. A Hybrid DEIM and Leverage Scores Based Method for CUR Index Selection
Chapter 21. Data-Driven Modeling and Control of Complex Dynamical Systems Arising in Renal Anemia Therapy
Chapter 22. Regional Estimates of Reproduction Numbers with Application to COVID-19
Chapter 23. Complexity Reduction for Parametric High Dimensional Models in the Analysis of Financial Risk
Chapter 24. A Low-Rank Extended Kalman Filter for Gas Pipeline Networks
Chapter 25. An Analysis of Connectivity between Dengue Cases and Climate Factors in Sri Lanka Based on Field Data
Chapter 26. Cellular Nonlinear Computing on the Edge of Chaos
Chapter 27. Efficient Yield Optimization with Limited Gradient Information
Chapter 28. Thermomechanical Modelling for Industrial Applications
Chapter 29. The Virtual PaintShop Simulation of Oven Curing
Chapter 30. Parameter Identification and Forecast with a Biased Model
Chapter 31. Estimation of Time-Dependent Parameters in a Simple Compartment Model using Covid-19 Data
Chapter 32. Comparison of Performances of Selected Forecasting Models: An Application to Dengue Data in Colombo, Sri Lanka
Chapter 33. Approaches for Going Beyond Linear Frequency Domain Powertrain Simulation
Chapter 34. Diffusion of Electron Density in Dye-Sensitized Solar Cells
Chapter 35. Modeling and Simulation of Inelastic Effects in Composite Cables
Chapter 36. High-Throughput Analysis of Potato Vitality
Chapter 37. Optimized Hydrodynamical Model for Charge Transport in Graphene
Chapter 38. On the Discretization of Diffusion Fluxes for a System of PDEs
Chapter 39. Dynamics of the N-fold Pendulum in the Framework of Lie Group Integrators
Chapter 40. Hydrodynamic Interaction between a Row of Oblate Spheroids in a Steady stream of Viscous Fluid
Chapter 41. Modelling and Computing the Total Value Adjustment for European Derivatives in a Multi-Currency Setting
Chapter 42. A Multi-Level Monte-Carlo with FEM for XVA in European Options
Chapter 43. Estimation of Cable Bundle Stiffness based on Gaussian Process Regression
Chapter 44. Modeling and Simulation of Pedestrian Interaction with Moving Obstacles using Particle Method
Chapter 45. An Anisotropic Interaction Model for Pedestrian Dynamics with Body Size
Chapter 46. Quantitative Characterization of Ductility for Fractographic Analysis
Chapter 47. Optimal Control to Facilitate the Development Process of Exoskeletons
Chapter 48. Vanadium Redox Flow Batteries: Asymptotics and Numerics
Chapter 49. Time-Adaptive High-Order Compact Finite Difference Schemes for Option Pricing in a Family of Stochastic Volatility Models
Chapter 50. Multirate DAE-Simulation and its Application in System Simulation Software for the Development of HVAC Systems
Chapter 51. Mathematical Models for Electromagnetic Conditions in Submerged Arc Furnaces
Chapter 52. Contaminant Removal by Adsorption
Chapter 53. Vector Lattice Boltzmann Equations: From Magnetohydrodynamics to Active Matter
Chapter 54. A Deep Smoothness WENO Method with Applications in Option Pricing
Chapter 55. Proactive Dengue Management System Synergize by an Exponential Smoothing Model
Chapter 56. Multipatch ZIKV Model and Simulations
Chapter 57. Discrete port-Hamiltonian Coupled Heat Transfer
Chapter 58. A Non-Reflecting Boundary Condition for Multispeed Lattice Boltzmann Methods
Chapter 59. Correlation Matrices driven by Stochastic Isospectral Flows
Chapter 60. Investigation of Darwin Model with Two Types of Coulomb Gauge Condition in Frequency- Domain Electromagnetic Finite-Element Method
Chapter 61. Statistical and Machine Learning Methods for Automotive Spare Parts Demand Prediction
Chapter 62. The Parareal Algorithm and the Sparse Grid Combination Technique in the Application of the Heston Model
Chapter 63. A Higher-Order NSFD Method for a Simple Growth Model in the Chemostat
Chapter 64. Stability and Convergence of a Class of RKDG Methods for Maxwells Equations
Chapter 65. Safeguarding the Nations Digital Memory: Bayesian Network Modelling of Digital Preservation Risks
Chapter 66. Computational Methods for Market Making Algorithms
Chapter 67. Study of Self-Adjoint Singularly Perturbed BVP by Septic Hermite Collocation Method
Chapter 68. Data-Driven Approach for Systemic Risk: A Macroprudential Perspective
Chapter 69. Modelling Ozone Disinfection to Prevent Covid-19 Transmission
International conference proceedings
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