A Finite Element Method For Martingale-Driven Stochastic Partial Differential Equations,
2010
Louisiana State University
A Finite Element Method For Martingale-Driven Stochastic Partial Differential Equations, Andrea Barth
Communications on Stochastic Analysis
No abstract provided.
Solutions Of Semilinear Wave Equation Via Stochastic Cascades,
2010
Louisiana State University
Solutions Of Semilinear Wave Equation Via Stochastic Cascades, Yuri Bakhtin, Carl Mueller
Communications on Stochastic Analysis
No abstract provided.
Sample Properties Of Random Fields Iii: Differentiability,
2010
Louisiana State University
Sample Properties Of Random Fields Iii: Differentiability, Jürgen Potthoff
Communications on Stochastic Analysis
No abstract provided.
Upper Bounds On Rubinstein Distances On Configuration Spaces And Applications,
2010
Louisiana State University
Upper Bounds On Rubinstein Distances On Configuration Spaces And Applications, Laurent Decreusefond, Aldéric Joulin, Nicolas Savy
Communications on Stochastic Analysis
No abstract provided.
Convergence Of Particle Filtering Method For Nonlinear Estimation Of Vortex Dynamics,
2010
Louisiana State University
Convergence Of Particle Filtering Method For Nonlinear Estimation Of Vortex Dynamics, Sivaguru S Sritharan, Meng Xu
Communications on Stochastic Analysis
No abstract provided.
Covariance Identities And Mixing Of Random Transformations On The Wiener Space,
2010
Louisiana State University
Covariance Identities And Mixing Of Random Transformations On The Wiener Space, Nicolas Privault
Communications on Stochastic Analysis
No abstract provided.
The Itô Integral For A Certain Class Of Lévy Processes And Its Application To Stochastic Partial Differential Equations,
2010
Louisiana State University
The Itô Integral For A Certain Class Of Lévy Processes And Its Application To Stochastic Partial Differential Equations, Erika Hausenblas
Communications on Stochastic Analysis
No abstract provided.
Surface Measures On The Dual Space Of The Schwartz Space,
2010
Louisiana State University
Surface Measures On The Dual Space Of The Schwartz Space, S Chaari, F Cipriano, H.-H. Kuo, H Ouerdiane
Communications on Stochastic Analysis
No abstract provided.
Sufficient Conditions Of Optimality For Backward Stochastic Evolution Equations,
2010
Louisiana State University
Sufficient Conditions Of Optimality For Backward Stochastic Evolution Equations, Abdulrahman Al-Hussein
Communications on Stochastic Analysis
No abstract provided.
Diffeomorphic Approximation Of Sobolev Homeomorphisms,
2010
Syracuse University and University of Helsinki
Diffeomorphic Approximation Of Sobolev Homeomorphisms, Tadeusz Iwaniec, Leonid V. Kovalev, Jani Onninen
Mathematics - All Scholarship
Every homeomorphism h: X -> Y between planar open sets that belongs to the Sobolev class W1;p(X;Y), 1 < p < 1, can be approximated in the Sobolev norm by Cinfinity -smooth dieomorphisms.
Quantitative Analysis Of Arterial Spin Labeling Fmri Data Using A General Linear Model,
2010
University of Michigan
Quantitative Analysis Of Arterial Spin Labeling Fmri Data Using A General Linear Model, Luis Hernandez-Garcia, Hesamoddin Jahanian, Daniel B. Rowe
Mathematics, Statistics and Computer Science Faculty Research and Publications
Arterial spin labeling techniques can yield quantitative measures of perfusion by fitting a kinetic model to difference images (tagged-control). Because of the noisy nature of the difference images investigators typically average a large number of tagged versus control difference measurements over long periods of time. This averaging requires that the perfusion signal be at a steady state and not at the transitions between active and baseline states in order to quantitatively estimate activation induced perfusion. This can be an impediment for functional magnetic resonance imaging task experiments. In this work, we introduce a general linear model (GLM) that specifies Blood …
A Class Of Models For Uncorrelated Random Variables,
2010
Northern Illinois University
A Class Of Models For Uncorrelated Random Variables, Nader Ebrahimi, Gholamhossein Hamedani, Ehsan S. Soofi, Hans Volkmer
Mathematics, Statistics and Computer Science Faculty Research and Publications
We consider the class of multivariate distributions that gives the distribution of the sum of uncorrelated random variables by the product of their marginal distributions. This class is defined by a representation of the assumption of sub-independence, formulated previously in terms of the characteristic function and convolution, as a weaker assumption than independence for derivation of the distribution of the sum of random variables. The new representation is in terms of stochastic equivalence and the class of distributions is referred to as the summable uncorrelated marginals (SUM) distributions. The SUM distributions can be used as models for the joint distribution …
A Methodology For Engineering Collaborative And Ad-Hoc Mobile Applications Using Syd Middleware,
2010
Marquette University
A Methodology For Engineering Collaborative And Ad-Hoc Mobile Applications Using Syd Middleware, Praveen Madiraju, Srilaxmi Malladi, Janaka Balasooriya, Arthi Hariharan, Sushil K. Prasad, Anu Bourgeois
Mathematics, Statistics and Computer Science Faculty Research and Publications
Today’s web applications are more collaborative and utilize standard and ubiquitous Internet protocols. We have earlier developed System on Mobile Devices (SyD) middleware to rapidly develop and deploy collaborative applications over heterogeneous and possibly mobile devices hosting web objects. In this paper, we present the software engineering methodology for developing SyD-enabled web applications and illustrate it through a case study on two representative applications: (i) a calendar of meeting application, which is a collaborative application and (ii) a travel application which is an ad-hoc collaborative application. SyD-enabled web objects allow us to create a collaborative application rapidly with limited coding …
Processing Induced Voxel Correlation In Sense Fmri Via The Ammust Framework,
2010
Marquette University
Processing Induced Voxel Correlation In Sense Fmri Via The Ammust Framework, Daniel B. Rowe, Iain P. Bruce
Mathematics, Statistics and Computer Science Faculty Research and Publications
No abstract provided.
Coarser Connected Metrizable Topologies,
2010
University of Dayton
Coarser Connected Metrizable Topologies, Lynne Yengulalp
Mathematics Faculty Publications
We show that every metric space, X, with w(⩾) c has a coarser connected metrizable topology.
A Numerical Study On The Propagation And Interaction Of Strongly Nonlinear Solitary Waves,
2010
New Jersey Institute of Technology
A Numerical Study On The Propagation And Interaction Of Strongly Nonlinear Solitary Waves, Qiyi Zhou
Dissertations
We study numerically a strongly nonlinear long wave model for surface gravity waves propagating in both one and two horizontal dimensions. This model often referred to as the Su-Gardner or Green-Naghdi equations can be derived from the Euler equations under the assumption that the ratio between the characteristic wavelength and water depth is small, but no assumption on the wave amplitude is required. We first generalize the model to describe large amplitude one-dimensional solitary waves in the presence of background shear of constant vorticity. After computing the solitary wave solution of the strongly nonlinear model, the interaction between two solitary …
Computational Methods For Two-Phase Flow With Soluble Surfactant,
2010
New Jersey Institute of Technology
Computational Methods For Two-Phase Flow With Soluble Surfactant, Kuan Xu
Dissertations
A mathematical model is formulated and solved for the two-phase flow of a viscous drop or inviscid bubble in an immiscible, viscous surrounding fluid in the zero Reynold's number or Stokes flow limit. A surfactant that is present on the interface is also soluble in the exterior fluid, and the drop is deformed by an imposed linear flow. The geometry is two-dimensional and Cartesian.
The dissolved surfactant is considered in the physically realistic limit of large bulk Péclet number. That is, it convects and diffuses as a passive scalar in the bulk flow where the ratio of its convection to …
Single And Multiobjective Approaches To Clustering With Point Symmetry.,
2010
Indian Statistical Institute
Single And Multiobjective Approaches To Clustering With Point Symmetry., Sriparna Saha Dr.
Doctoral Theses
In our every day life, we make decisions consciously or unconsciously. This decision can be very simple such as selecting the color of dress or deciding the menu for lunch, or may be as difficult as those involved in designing a missile or in selecting a career. The former decision is easy to take, while the latter one might take several years due to the level of complexity involved in it. The main goal of most kinds of decision-making is to optimize one or more criteria in order to achieve the desired result. In other words, problems related to optimization …
Cannon-Thurston Maps And Relative Hyperbolicity.,
2010
Indian Statistical Institute
Cannon-Thurston Maps And Relative Hyperbolicity., Abhijit Pal Dr.
Doctoral Theses
Let P : Y → T be a tree of strongly relatively hyperbolic spaces such that Y is also a strongly relatively hyperbolic space. Let X be a vertex space and i : X ֒→ Y denote the inclusion. The main aim of this thesis is to extend i to a continuous map i : X → Y , where X and Y are the Gromov compactifications of X and Y respectively. Such continuous extensions are called Cannon-Thurston maps. This is a generalization of [Mit98b] which proves the existence of Cannon-Thurston maps for X and Y hyperbolic. By generalizing a …
Hamilton Decompositions Of 6-Regular Abelian Cayley Graphs,
2010
Michigan Technological University
Hamilton Decompositions Of 6-Regular Abelian Cayley Graphs, Erik E. Westlund
Dissertations, Master's Theses and Master's Reports - Open
In 1969, Lovasz asked whether every connected, vertex-transitive graph has a Hamilton path. This question has generated a considerable amount of interest, yet remains vastly open. To date, there exist no known connected, vertex-transitive graph that does not possess a Hamilton path. For the Cayley graphs, a subclass of vertex-transitive graphs, the following conjecture was made:
Weak Lovász Conjecture: Every nontrivial, finite, connected Cayley graph is hamiltonian.
The Chen-Quimpo Theorem proves that Cayley graphs on abelian groups flourish with Hamilton cycles, thus prompting Alspach to make the following conjecture:
Alspach Conjecture: Every 2k-regular, connected Cayley graph on a …
