Essays about: "Tikhonov regularization"
Showing result 1 - 5 of 8 essays containing the words Tikhonov regularization.
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1. Regularizing An Ill-Posed Problem with Tikhonov’s Regularization
University essay from Linköpings universitet/Analys och didaktik; Linköpings universitet/Tekniska fakultetenAbstract : This thesis presents how Tikhonov’s regularization can be used to solve an inverse problem of Helmholtz equation inside of a rectangle. The rectangle will be met with both Neumann and Dirichlet boundary conditions. A linear operator containing a Fourier series will be derived from the Helmholtz equation. READ MORE
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2. The Inverse Source Problem for Helmholtz
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : This paper studies the inverse source problem for the Helmholtz equation with a point source in a two dimensional domain. Given complete boundary data and appropriate discretization Tikhonov regularization is established to be an effective method at finding the point source. READ MORE
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3. Inverse source modeling of roll induced magnetic signature
University essay from Uppsala universitet/Avdelningen för beräkningsvetenskapAbstract : Vessels constructed in electrically conductive materials give rise to frequency-dependent, induced magnetic fields when waves of water cause them to roll in the Earth's magnetic field. These fields, typically referred to as roll-induced magnetic vortex fields, are a component of the ship's overall signature, where signature refers to measurable quantities which can reveal or identify objects. READ MORE
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4. Regularization parameter selection methods for an inverse dispersion problem
University essay from Umeå universitet/Institutionen för fysikAbstract : There are many regularization parameter selection methods that can be used when solving inverse problems, but it is not clear which one is best suited for the inverse dispersion problem. The suitability of three different methods for solving the inverse dispersion problem are evaluated here in order to pick a suitable method for these kinds of problems in the future. READ MORE
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5. Bilinear Gaussian Radial Basis Function Networks for classification of repeated measurements
University essay from Linköpings universitet/Matematisk statistik; Linköpings universitet/Tekniska fakultetenAbstract : The Growth Curve Model is a bilinear statistical model which can be used to analyse several groups of repeated measurements. Normally the Growth Curve Model is defined in such a way that the permitted sampling frequency of the repeated measurement is limited by the number of observed individuals in the data set. READ MORE