Progress in industrial mathematics a...
European Conference on Mathematics in Industry (2021 :)

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  • Progress in industrial mathematics at ECMI 2021 = 21st ECMI Conference, Wuppertal, Germany, April 13-15, selected and reviewed papers /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Progress in industrial mathematics at ECMI 2021/ edited by Matthias Ehrhardt, Michael Gunther.
    其他題名: 21st ECMI Conference, Wuppertal, Germany, April 13-15, selected and reviewed papers /
    其他題名: ECMI 2021
    其他作者: Ehrhardt, Matthias.
    團體作者: European Conference on Mathematics in Industry
    出版者: Cham :Springer International Publishing : : 2022.,
    面頁冊數: xxv, 541 p. :ill. (chiefly color), digital ;24 cm.
    內容註: 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 Ross-Macdonald 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 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 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.
    Contained By: Springer Nature eBook
    標題: Mathematics - Industrial applications -
    電子資源: https://doi.org/10.1007/978-3-031-11818-0
    ISBN: 9783031118180
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