E-grāmata: Progress in Industrial Mathematics at ECMI 2021

Foreword.- Preface.
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 Applicationto 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 ofElectron 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 HermiteCollocation Method.-
Chapter
68. Data-Driven Approach for Systemic Risk: A Macroprudential
Perspective.
Chapter
69. Modelling Ozone Disinfection to Prevent Covid-19
Transmission.

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.