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Book
Mathematical analysis of deterministic and stochastic problems in complex media electromagnetics
Authors: --- ---
ISBN: 1680159038 1283439786 9786613439789 1400842654 9781400842650 9781680159035 0691142173 9780691142173 Year: 2012 Publisher: Princeton : Princeton University Press,

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Abstract

Electromagnetic complex media are artificial materials that affect the propagation of electromagnetic waves in surprising ways not usually seen in nature. Because of their wide range of important applications, these materials have been intensely studied over the past twenty-five years, mainly from the perspectives of physics and engineering. But a body of rigorous mathematical theory has also gradually developed, and this is the first book to present that theory. Designed for researchers and advanced graduate students in applied mathematics, electrical engineering, and physics, this book introduces the electromagnetics of complex media through a systematic, state-of-the-art account of their mathematical theory. The book combines the study of well posedness, homogenization, and controllability of Maxwell equations complemented with constitutive relations describing complex media. The book treats deterministic and stochastic problems both in the frequency and time domains. It also covers computational aspects and scattering problems, among other important topics. Detailed appendices make the book self-contained in terms of mathematical prerequisites, and accessible to engineers and physicists as well as mathematicians.

Keywords

Electromagnetism --- Stochastic control theory. --- Mathematical analysis. --- 517.1 Mathematical analysis --- Mathematical analysis --- Control theory --- Stochastic processes --- Mathematics. --- AtkinsonЗilcox expansion theorem. --- Beltrami fields. --- Faedo-Galerkin approach. --- Herglotz wave functions. --- Hilbert Uniqueness method. --- Maxwell equations. --- Maxwell operator. --- PDEs. --- applied mathematics. --- auxiliary elliptic problems. --- boundary controllability. --- boundary integral equation. --- boundary value problem. --- chiral material. --- chiral media. --- chirality. --- compact embeddings. --- complex electromagnetic media. --- complex media. --- constitutive relations. --- controllability problem. --- controllability. --- decompositions. --- differential equations. --- dispersive media. --- dyadics. --- eigenvalue problems. --- electric flux density. --- electrical engineering. --- electromagnetic complex media. --- electromagnetic fields. --- electromagnetic media. --- electromagnetic wave scattering. --- electromagnetic waves. --- electromagnetics. --- evolution family approach. --- evolution operators. --- evolution problems. --- exterior problems. --- finite-dimensional space. --- fixed point approach. --- frequency. --- function spaces. --- general scattering theorem. --- generalised integral transforms. --- geometry. --- handedness. --- homogenisation problem. --- homogenisation. --- homogenised media. --- homogenised system. --- infinite Frchet differentiability. --- integrodifferential equations. --- integrodifferential evolution equation. --- interior domain problem. --- magnetic flux density. --- mathematical modelling. --- mathematical theory. --- nonlinear PDEs. --- nonlinear model. --- nonlinear phenomena. --- nonlinear problems. --- nonlinearity. --- operators. --- optical theorem. --- penetrable obstacle. --- perfectly conducting obstacle. --- periodic media. --- physics. --- plane electromagnetic waves. --- reciprocity principle. --- scattering problems. --- scattering process. --- scattering theories. --- scattering theory. --- semigroup approach. --- semigroup arguments. --- semigroup-based approach. --- solvability. --- spaces. --- spectral theory. --- standard differential. --- stochastic integrodifferential equations. --- time domain. --- time-harmonic electromagnetic wave. --- time-harmonic problems. --- time. --- trace operators. --- two-scale expansion. --- variational formulation. --- vector analysis. --- wave motions. --- wave operators. --- well posedness.


Book
Machine Learning, Low-Rank Approximations and Reduced Order Modeling in Computational Mechanics
Authors: ---
ISBN: 3039214101 3039214098 Year: 2019 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The use of machine learning in mechanics is booming. Algorithms inspired by developments in the field of artificial intelligence today cover increasingly varied fields of application. This book illustrates recent results on coupling machine learning with computational mechanics, particularly for the construction of surrogate models or reduced order models. The articles contained in this compilation were presented at the EUROMECH Colloquium 597, « Reduced Order Modeling in Mechanics of Materials », held in Bad Herrenalb, Germany, from August 28th to August 31th 2018. In this book, Artificial Neural Networks are coupled to physics-based models. The tensor format of simulation data is exploited in surrogate models or for data pruning. Various reduced order models are proposed via machine learning strategies applied to simulation data. Since reduced order models have specific approximation errors, error estimators are also proposed in this book. The proposed numerical examples are very close to engineering problems. The reader would find this book to be a useful reference in identifying progress in machine learning and reduced order modeling for computational mechanics.

Keywords

supervised machine learning --- proper orthogonal decomposition (POD) --- PGD compression --- stabilization --- nonlinear reduced order model --- gappy POD --- symplectic model order reduction --- neural network --- snapshot proper orthogonal decomposition --- 3D reconstruction --- microstructure property linkage --- nonlinear material behaviour --- proper orthogonal decomposition --- reduced basis --- ECSW --- geometric nonlinearity --- POD --- model order reduction --- elasto-viscoplasticity --- sampling --- surrogate modeling --- model reduction --- enhanced POD --- archive --- modal analysis --- low-rank approximation --- computational homogenization --- artificial neural networks --- unsupervised machine learning --- large strain --- reduced-order model --- proper generalised decomposition (PGD) --- a priori enrichment --- elastoviscoplastic behavior --- error indicator --- computational homogenisation --- empirical cubature method --- nonlinear structural mechanics --- reduced integration domain --- model order reduction (MOR) --- structure preservation of symplecticity --- heterogeneous data --- reduced order modeling (ROM) --- parameter-dependent model --- data science --- Hencky strain --- dynamic extrapolation --- tensor-train decomposition --- hyper-reduction --- empirical cubature --- randomised SVD --- machine learning --- inverse problem plasticity --- proper symplectic decomposition (PSD) --- finite deformation --- Hamiltonian system --- DEIM --- GNAT


Book
Evolutionary equations : Picard's theorem for partial differential equations, and applications
Authors: --- ---
ISBN: 3030893979 3030893960 Year: 2022 Publisher: Cham Springer Nature

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Abstract

This open access book provides a solution theory for time-dependent partial differential equations, which classically have not been accessible by a unified method. Instead of using sophisticated techniques and methods, the approach is elementary in the sense that only Hilbert space methods and some basic theory of complex analysis are required. Nevertheless, key properties of solutions can be recovered in an elegant manner. Moreover, the strength of this method is demonstrated by a large variety of examples, showing the applicability of the approach of evolutionary equations in various fields. Additionally, a quantitative theory for evolutionary equations is developed. The text is self-contained, providing an excellent source for a first study on evolutionary equations and a decent guide to the available literature on this subject, thus bridging the gap to state-of-the-art mathematical research.

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