Browsing by Subject "Inverse Problem"
Now showing items 1-6 of 6
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(2013-08-08)This study presents different aspects on the use of deterministic methods including Artificial Neural Networks (ANNs), and linear and nonlinear regression, as well as probabilistic methods including Bayesian inference and ...
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(2011-02-22)In this thesis, we propose two novel approaches for hybrid Ensemble Kalman Filter (EnKF) to overcome limitations of the traditional EnKF. The first approach is to swap the ensemble mean for the ensemble mode estimation to ...
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(Texas A&M University, 2007-04-25)Advanced nuclear magnetic resonance (NMR) imaging methodologies have been developed to determine porous media properties associated with fluid flow processes. This dissertation presents the development of NMR experimental ...
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(2015-08-10)The field of inverse problems is an area of applied mathematics that is of great importance in several scientific and industrial applications. Since an inverse problem is typically based on non-linear and ill-posed models ...
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(Texas A&M University, 2005-11-01)Tomography refers to the cross-sectional imaging of an object from either transmission or reflection data collected by illuminating the object from many different directions. Classical tomography fails to reconstruct the ...
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(Texas A&M University, 2004-09-30)Ultrasound-modulated optical tomography is modeled by a linear integral equation and an inverse problem involving a diffusion equation in n spatial dimensions, n=2, 3. Based on measured data, the optical absorption ...