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Partial differential equations and spatial structures of Lévy Type : uncertainty quantification and optimization / von Marco Reese. Wuppertal, [2021]
Inhalt
Introduction
Linear Partial Differential Equations
Hölder Spaces
Regularity Properties of Domains
Sobolev Spaces
Sobolev Spaces of Fractional Order
Elliptic System of Linear Partial Differential Equation
Regularity Theory and Linear Elasticity
Potential Flow Equation
Diffusion Equations
Generalized Random Fields
Multi-Hilbertian Spaces
The Schwartz Space Lg
Generalized Random Fields
Lévy Random Fields
Classification of Noise Fields
Smoothed Stationary Noise Fields
Examples
Gaussian Fields
Compound Poisson Random Field
Poisson Point Process
Lévy Noise of Infinite Activity
An Analytical Study in Multi-Physics and Multi-Criteria Shape Optimization
Probabilistic Life Prediction
LCF Driven Crack Initiation Model
A Multi-Criteria Shape Optimization Problem
General Definitions
Multi-Physics Shape Optimization
Multi-Physics Equation Coupling
Admissible Shapes and Criteria
Examples
Multi-Physics Shape Optimization Problem
Existence of Pareto Optimal Shapes
Uniform Bounds for Solution Spaces
Existence Theorem for Pareto Optimal Shapes
Scalarization and Multi-Physics Optimization
Integrability and Approximability of Solutions to the Stationary Diffusion Equation with Lévy Coefficient
Integrability of Solutions
Approximability of Solutions of the Random Diffusion Equation
Approximation Scheme for the Random Solution
Convergence of the Solution Moments
Series Expansion of Lévy Coefficients
Conclusion