Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"Nonlinear Inverse Problem"”.
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Functionally Graded Fiber-Reinforced Cementitious Composites---Manufacturing and Extraction of Cohesive Fracture Properties Using Finite Elements and Digital Image Correlation
… to the finite element (FE) formulation of an inverse problem for computing the CZM. The CZM is parameterized using flexible splines without assumption of the model shape. The Nelder-Mead optimization method is used to solve the ill-posed nonlinear inverse problem. Barrier and regularization …
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Damage Detection and Sensor Placement Strategies for Structures Under Frequency-Domain Dynamics
… and solve the corresponding (potentially nonlinear) inverse problem to attain a parameter estimator. Then, to devise the next best sensor placement, we linearize the OED problem around the newly determined estimator to generate the Fisher Information Matrix (FIM) for the next best sensor …
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Variational Multi-Task Models for Image Analysis: Applications to Magnetic Resonance Imaging
… variational multi-task models for solving inverse problems in imaging, with a particular focus on Magnetic Resonance Imaging (MRI). In most image processing problems, one usually deals with the reconstruction task, i.e., the task of reconstructing an image from indirect measurements, and …
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Statistical Preconditioning and Quantitative Imaging for Electrical Impedance Tomography
Computational inverse problems frequently give rise to linear or nonlinear least squares problems, and if the problems are large, iterative solvers are typically the method of choice, with the Krylov subspace methods a frequently used family of iterative schemes. In the case of nonlinear least …
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Numerical Methods for Separable Nonlinear Inverse Problems with Constraint and Low Rank
In this age, there are many applications of inverse problems to lots of areas ranging from astronomy, geoscience and so on. For example, image reconstruction and deblurring require the use of methods to solve inverse problems. Since the problems are subject to many factors and noise, we can't …