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Progress in Industrial Mathematics at ECMI 2023 [Kõva köide]

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  • Formaat: Hardback, 534 pages, kõrgus x laius: 235x155 mm, 2 Illustrations, black and white
  • Sari: Mathematics in Industry
  • Ilmumisaeg: 17-Jun-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032204038
  • ISBN-13: 9783032204035
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Progress in Industrial Mathematics at ECMI 2023Suurem pilt
  • Formaat: Hardback, 534 pages, kõrgus x laius: 235x155 mm, 2 Illustrations, black and white
  • Sari: Mathematics in Industry
  • Ilmumisaeg: 17-Jun-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032204038
  • ISBN-13: 9783032204035
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This volume gathers peer-reviewed contributions submitted to the 22nd ECMI Conference on Industrial and Applied Mathematics, ECMI 2023, held by the Wrocaw University of Science and Technology, Wrocaw, Poland, from June 26th to 30th, 2023. The works span a wide spectrum of applied mathematics, addressing challenges in finance, health and epidemiology, energy and industrial processes, as well as advanced computational and control systems.



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 to promote the use of innovative mathematics in industry.



 
Chapter
1. Fast Computation of Function Composition Derivatives for
Flatness-based Control of Diffusion Problems.
Chapter
2. Optimal Control of
a Dengue Fever Model with Delay.
Chapter
3. A numerical study of the impact
of variance boundary conditions for the Heston model.
Chapter
4. Nonlocal
theory of elasticity in the natural vibrations of curved CNTs with defects.-
Chapter
5. Solving multiscale problems with neural networks: The importance
of asymptotic-preservation.
Chapter
6. Learning the solution operator of a
nonlinear parabolic equation using physics informed deep operator network.-
Chapter
7. Towards an asymptotic model of a blast furnace.
Chapter
8.
Computational Strategies for Analyzing Collective Behavior in Human Crowds.-
Chapter
9. Resource Conscious Fault Classifiers.
Chapter
10. Numerical
Simulation of the Urban Heat Island in an UrbanRural Domain with Variable
Porosity.
Chapter
11. Impact of rounding bias on the convergence of gradient
descent with unbiased approximation of gradients.
Chapter
12. Iterative
solution techniques for chemical reaction equations.
Chapter
13. Some
qualitative properties of a finite difference method.
Chapter
14.
Discontinuous Galerkin methods for Liouville's equation of geometrical
optics.
Chapter
15. Inverse methods for freeform optical design.
Chapter
16. Analysis of a competitive respiratory disease system with quarantine:
Investigation of equilibria dynamics.
Chapter
17. Monte Carlo Foliage
Generation on 3D Tree Models.
Chapter
18. Analysis of a Langevin Equation
for Cell Migration with Chemotaxis.
Chapter
19. EthiopianNorwegian
Collaboration in Applied Mathematics and Statistics Education.
Chapter
20.
Bond trading strategies using machine learning techniques.
Chapter
21.
Two-Dimensional Freeform Reflector Design for Minimizing Aberrations.-
Chapter
22. Comparing Phase Space Ray Tracing and Generalized Concatenated
Backward Ray Mapping on the Compound Parabolic Concentrator.
Chapter
23.
Operator splitting for semi-explicit differential-algebraic equations and
port-Hamiltonian DAEs.
Chapter
24. Computing Multiple Local Minimizers for
the Topology Optimization of Bipolar Plates in Electrolysis Cells.
Chapter
25. Industrial melt spinning with two-way coupled airflow including
viscoelasticity, crystallization and radial effects.
Chapter
26. German
Epidemic Microsimulation System.
Chapter
27. Operator splitting for
port-Hamiltonian systems.
Chapter
28. The Derivative free trust-region
method for the inverse elastography problem.
Chapter
29. Metamodels for
Sizing Optimization of Hydrogen-Based Hybrid Energy Storage Systems.
Chapter
30. Empirically driven spline bases for functional principal component
analysis in 2D.
Chapter
31. Coupled Delayed Action Oscillator Model of the
El Niño Southern Oscillation.
Chapter
32. Generalized Newtonian Material
Models in Fiber Spinning Simulations.
Chapter
33. Decoupling and
Linearization of a Liquid Crystal Model fulfilling a Unit Norm Constraint.-
Chapter
34. Anisotropic Diffusion Stencils: From Simple Derivations over
Stability Estimates to ResNet Implementations.
Chapter
35. On implicit
interpolation models for nonlinear anisotropic magnetic material behavior.-
Chapter
36. Engineering, big data and the future.
Chapter
37. World of
swaptions - pricing, calibration, volatility.
Chapter
38. A mathematical
model for contaminant adsorption in packed columns using nonlinear mass
transfer.
Chapter
39. Deep finite difference method for solving Asian option
pricing problems.
Chapter
40. Mathematical model for fluoride-removal
filters.
Chapter
41. Modelling hydrogen storage in metal hydrides.
Chapter
42. Pricing of a two-peril zero-coupon catastrophe bond.
Chapter
43.
Extended processed methods for the numerical solution of inhomogeneous ODE
systems.
Chapter
44. Road Profile Identification via Iterative Learning
Control.
Chapter
45. GENEOnet: a new machine learning paradigm for protein
pocket detection based on Group Equivariant Non-Expansive Operators.
Chapter
46. A Lookup-Based Heuristic for Nonuniform Packing Problems.
Chapter
47.
Structure-Preserving Time Discretization of Port-Hamiltonian Systems via
Discrete Gradient Pairs.
Chapter
48. An efficient H-based finite element
method for nonlinear magnetostatics and quasistatics.
Chapter
49. Adaptive
segmented regression for the modeling of temperature-dependent material
properties.