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Intelligent computing in inverse problems
This paper presents a review of intelligent computing techniques in solving inverse mechanics problems. These techniques are based on Evolutionary Algorithms (EAs) and the coupling of Evolutionary Algorithms (EAs) and Artificial Neural Networks (ANNs ...
Tadeusz Burczyński +4 more
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Topological optimization and inverse problems
The topological derivative of an arbitrary shape functional is introduced in [29] for 2D elasticity. The optimality conditions for general shape optimization problems are established in [30] using the shape variations including boundary and topology ...
Lidia Jackowska-Strumiłło +2 more
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Quantitative Runge Approximation and Inverse Problems
In this short note we provide a quantitative version of the classical Runge approximation property for second order elliptic operators. This relies on quantitative unique continuation results and duality arguments.
Rüland, Angkana, Salo, Mikko
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On an inverse optimization spectral problem for Sturm-Liuville operators [PDF]
Н. Ф. Валеев
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Background: Wolfram syndrome (WS) is an ultrarare neuroendocrine disorder caused by pathogenic variants in WFS1, frequently leading to progressive neurological, autonomic, and cognitive impairment.
Gema Esteban-Bueno +2 more
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Uniqueness and Stability in Inverse Spectral Problems for Collapsing Manifolds [PDF]
We consider a geometric inverse problems associated with interior measurements: Assume that on a closed Riemannian manifold $(M, h)$ we can make measurements of the point values of the heat kernel on some open subset $U \subset M$. Can these measurements
Kurylev, Yaroslav +2 more
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Quasi-Optimal Filtering in Inverse Problems
A way of constructing a nonlinear filter close to the optimal Kolmogorov - Wiener filter is proposed within the framework of the statistical approach to inverse problems.
Cramér H. +11 more
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BackgroundSurgical ablation of atrial fibrillation has been the most efficient treatment for atrial fibrillation (AF). Combined energy (CE) ablation and cryoablation alone (CA) are the most common energy modes used for ablation, however, comparative data
Bashir Tsaroev +11 more
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Empirical risk minimization in inverse problems
We study estimation of a multivariate function $f:\mathbf{R}^d\to\mathbf{R}$ when the observations are available from the function $Af$, where $A$ is a known linear operator. Both the Gaussian white noise model and density estimation are studied.
Klemelä, Jussi, Mammen, Enno
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A hybrid ANN-PSO approach for self-tuning parameters of polycrystalline photovoltaic arrays
This paper introduces a novel, self-tuning equivalent circuit model for polycrystalline photovoltaic (PV) modules to overcome the accuracy limitations of conventional fixed-parameter models under dynamic climatic conditions.
Zouhir Boumous +5 more
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