Browsing UT Electronic Theses and Dissertations by Department "Computational Science, Engineering, and Mathematics"
Now showing items 120 of 91

Adaptive measuretheoretic parameter estimation for coastal ocean modeling
(201508)Since Hurricane Katrina (2005), there has been a marked increase in the quantity of field observations gathered during and after hurricanes. There has also been an increased effort to improve our ability to model hurricanes ... 
Adaptive multiscale modeling of polymeric materials using goaloriented error estimation, Arlequin coupling, and goals algorithms
(200805)Scientific theories that explain how physical systems behave are described by mathematical models which provide the basis for computer simulations of events that occur in the physical universe. These models, being only ... 
Advances towards a multidimensional discontinuous Galerkin method for modeling hurricane storm surge induced flooding in coastal watersheds
Coastal areas are regions of high population density and urbanization. These areas are highly vulnerable to inundation and flooding not only because of hurricane storm surge, but also because of the torrential rainfall ... 
An algorithm of a fully conservative volume corrected characteristicsmixed method for transport problems
(200912)A basic phenomenon modeled computationally is tracer transport in a flow field, such as in porous medium simulation. We analyze the stability and convergence of a fully conservative characteristic method, the Volume Corrected ... 
Analysis and numerical simulation of the diffusive wave approximation of the shallow water equations
(200808)In this dissertation, the quantitative and qualitative aspects of modeling shallow water flow driven mainly by gravitational forces and dominated by shear stress, using an effective equation often referred to in the ... 
Analysis, implementation, and verification of a discontinuous galerkin method for prediction of storm surges and coastal deformation
(201108)Storm surge, the pileup of seawater occurring as a result of high surface stresses and strong currents generated by extreme storm events such as hurricanes, is known to cause greater loss of life than these storms' associated ... 
Assessing GCM performance for use in greenhouse gas forced climate change predictions using multivariate empirical orthogonal functions
(201208)Due to factors such as spatial discretization and the parameterization of certain processes, the presence of bias in models of the Earth's atmosphere is unavoidable. Whether we are selecting a model to explain past phenomenon, ... 
Automated Prediction of Human Disease Genes
(201212)The completion of the human genome project has led to a flood of new genetic data, that has proved surprisingly hard to interpret. Network "guilt by association" (GBA) is a proven approach for identifying novel disease ... 
Bayesian learning methods for potential energy parameter inference in coarsegrained models of atomistic systems
(201505)The present work addresses issues related to the derivation of reduced models of atomistic systems, their statistical calibration, and their relation to atomistic models of materials. The reduced model, known in the chemical ... 
Boundary/finite element meshing from volumetric data with applications
(2005)The main research work during my Ph.D. study is to extract adaptive and quality 2D (triangular or quadrilateral) meshes over isosurfaces and 3D (tetrahedral or hexahedral) meshes with isosurfaces as boundaries directly ... 
A collection of Bayesian models of stochastic failure processes
(201305)Risk managers currently seek new advances in statistical methodology to better forecast and quantify uncertainty. This thesis comprises a collection of new Bayesian models and computational methods which collectively aim ... 
Computational discovery of genetic targets and interactions : applications to lung cancer
(20160614)We present new modes of computational drug discovery in each of the three key themes of target identification, mechanism, and therapy regimen design. In identifying candidate targets for therapeutic intervention, we develop ... 
A computational framework for the solution of infinitedimensional Bayesian statistical inverse problems with application to global seismic inversion
(201508)Quantifying uncertainties in largescale forward and inverse PDE simulations has emerged as a central challenge facing the field of computational science and engineering. The promise of modeling and simulation for prediction, ... 
Computational modeling and realtime control of patientspecific laser treatment of prostate cancer
(200805)Hyperthermia based cancer treatments delivered under various modalities have the potential to become an effective option to eradicate the disease, maintain functionality of infected organs, and minimize complications and ... 
Computing accurate solutions to the KohnSham problem quickly in real space
(201408)Matter on a length scale comparable to that of a chemical bond is governed by the theory of quantum mechanics, but quantum mechanics is a many body theory, hence for the sake of chemistry or solid state physics, finding ... 
A conservative deterministic spectral method for rarefied gas flows
(200808)The mathematical analysis of the Boltzmann equation for a wide range of important models is well developed. It describes physical phenomena which are often of great engineering importance (in aerospace industry, semiconductor ... 
Coupled flow systems, adjoint techniques and uncertainty quantification
(201208)Coupled systems are ubiquitous in modern engineering and science. Such systems can encompass fluid dynamics, structural mechanics, chemical species transport and electrostatic effects among other components, all of which ... 
Data assimilation for parameter estimation in coastal ocean hydrodynamics modeling
(201312)Coastal ocean models are used for a vast array of applications. These applications include modeling tidal and coastal flows, waves, and extreme events, such as tsunamis and hurricane storm surges. Tidal and coastal flows ...