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221201  eng 
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a 9783031118180

100 
1 

a Ehrhardt, Matthias
e [editor]

245 
0 
0 
a Progress in Industrial Mathematics at ECMI 2021
h Elektronische Ressource
c edited by Matthias Ehrhardt, Michael Günther

250 


a 1st ed. 2022

260 


a Cham
b Springer International Publishing
c 2022, 2022

300 


a XXV, 541 p. 161 illus., 142 illus. in color
b online resource

505 
0 

a Foreword  Preface  Chapter 1. Model Reduction for a portHamiltonian Formulation of the Euler Equations  Chapter 2. ECMI Modelling Week: First Time in Russia and First Time Online  Chapter 3. Parameter Calibration with ConsensusBased 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 TwoPoint 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 

505 
0 

a 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. TimeAdaptive HighOrder Compact Finite Difference Schemes for Option Pricing in a Family of Stochastic Volatility Models  Chapter 50. Multirate DAESimulation 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 

505 
0 

a 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 portHamiltonian Coupled Heat Transfer  Chapter 58. A NonReflecting 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 FiniteElement 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 HigherOrder NSFD Method for a Simple Growth Model in the Chemostat 

505 
0 

a Chapter 22. Regional Estimates of Reproduction Numbers with Applicationto COVID19  Chapter 23. Complexity Reduction for Parametric High Dimensional Models in the Analysis of Financial Risk  Chapter 24. A LowRank 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 TimeDependent Parameters in a Simple Compartment Model using Covid19 Data  Chapter 32. Comparison of Performances of Selected Forecasting Models: An Application to Dengue Data in Colombo, Sri Lanka 

505 
0 

a Chapter 64. Stability and Convergence of a Class of RKDG Methods for Maxwell’s Equations  Chapter 65. Safeguarding the Nation’s Digital Memory: Bayesian Network Modelling of Digital Preservation Risks  Chapter 66. Computational Methods for Market Making Algorithms  Chapter 67. Study of SelfAdjoint Singularly Perturbed BVP by Septic HermiteCollocation Method  Chapter 68. DataDriven Approach for Systemic Risk: A Macroprudential Perspective  Chapter 69. Modelling Ozone Disinfection to Prevent Covid19 Transmission

505 
0 

a Chapter 33. Approaches for Going Beyond Linear Frequency Domain Powertrain Simulation  Chapter 34. Diffusion ofElectron Density in DyeSensitized Solar Cells  Chapter 35. Modeling and Simulation of Inelastic Effects in Composite Cables  Chapter 36. HighThroughput 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 Nfold 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 MultiCurrency Setting  Chapter 42. A MultiLevel MonteCarlo with FEM for XVA in European Options  Chapter 43. Estimation of Cable Bundle Stiffness based on Gaussian Process Regression 

505 
0 

a Chapter 11. Qualitatively Correct Numerical Methods for the Basic Ross–Macdonald Malaria Model  Chapter 12. Dynamics of a Delayed KaldorKalecki 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. NextGen Gas Network Simulation  Chapter 16. Parameter Estimation via Adjoint Functions in Epidemiological ReactionDiffusion Models  Chapter 17. Graphbased View of an Equilibrium Model for Nonwoven Tensile Strength Simulations  Chapter 18. GlobalScale or FineScale Modelling? A Critical Look at Experimental Design  Chapter 19. An Isogeometric OneDimensional Model for Developable Flexible Elastic Strips  Chapter 20. A Hybrid DEIM and Leverage Scores Based Method for CUR Index Selection  Chapter 21. DataDriven Modeling and Control of Complex Dynamical Systems Arising in Renal Anemia Therapy 

653 


a Optimization

653 


a Numerical Analysis

653 


a Mathematics / Data processing

653 


a Computational Science and Engineering

653 


a Mathematical Modeling and Industrial Mathematics

653 


a Numerical analysis

653 


a Differential Equations

653 


a Mathematical optimization

653 


a Differential equations

653 


a Mathematical models

700 
1 

a Günther, Michael
e [editor]

041 
0 
7 
a eng
2 ISO 6392

989 


b Springer
a Springer eBooks 2005

490 
0 

a The European Consortium for Mathematics in Industry

028 
5 
0 
a 10.1007/9783031118180

856 
4 
0 
u https://doi.org/10.1007/9783031118180?nosfx=y
x Verlag
3 Volltext

082 
0 

a 003.3

520 


a This book gathers peerreviewed 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 encouragedindustrial 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
