Jason S. Howell
Carnegie Mellon University
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Featured researches published by Jason S. Howell.
Numerische Mathematik | 2011
Jason S. Howell; Noel J. Walkington
Necessary and sufficient conditions for existence and uniqueness of solutions are developed for twofold saddle point problems which arise in mixed formulations of problems in continuum mechanics. This work extends the classical saddle point theory to accommodate nonlinear constitutive relations and the twofold saddle structure. Application to problems in incompressible fluid mechanics employing symmetric tensor finite elements for the stress approximation is presented.
Journal of Computational and Applied Mathematics | 2009
Jason S. Howell
In this work a finite element method for a dual-mixed approximation of Stokes and nonlinear Stokes problems is studied. The dual-mixed structure, which yields a twofold saddle point problem, arises in a formulation of this problem through the introduction of unknown variables with relevant physical meaning. The method approximates the velocity, its gradient, and the total stress tensor, but avoids the explicit computation of the pressure, which can be recovered through a simple postprocessing technique. This method improves an existing approach for these problems and uses Raviart-Thomas elements and discontinuous piecewise polynomials for approximating the unknowns. Existence, uniqueness, and error results for the method are given, and numerical experiments that exhibit the reduced computational cost of this approach are presented.
Applied Mathematics and Computation | 2008
Vincent J. Ervin; Jason S. Howell; Hyesuk Lee
The numerical simulation of viscoelastic fluid flow becomes more difficult as a physical parameter, the Weissenberg number, increases. Specifically, at a Weissenberg number larger than a critical value, the iterative nonlinear solver fails to converge. In this paper a two-parameter defect-correction method for viscoelastic fluid flow is presented and analyzed. In the defect step the Weissenberg number is artificially reduced to solve a stable nonlinear problem. The approximation is then improved in the correction step using a linearized correction iteration. Numerical experiments support the theoretical results and demonstrate the effectiveness of the method.
SIAM Journal on Numerical Analysis | 2009
Jeffrey M. Connors; Jason S. Howell; William J. Layton
There have been many numerical simulations but few analytical results of stability and accuracy of algorithms for computational modeling of fluid-fluid and fluid-structure interaction problems, where two domains corresponding to different fluids (ocean-atmosphere) or a fluid and deformable solid (blood flow) are separated by an interface. As a simplified model of the first examples, this report considers two heat equations in
Mathematical Modelling and Numerical Analysis | 2013
Jason S. Howell; Noel J. Walkington
\Omega_1,\Omega_2\subset\mathbb{R}^2
SIAM Journal on Numerical Analysis | 2012
Jeffrey M. Connors; Jason S. Howell; William J. Layton
adjoined by an interface
Journal of Physical Chemistry B | 2017
Jason S. Howell; Miranda Roesing; David Boucher
I=\Omega_1\cap\Omega_2\subset\mathbb{R}
Designs, Codes and Cryptography | 1999
Shuhong Gao; Jason S. Howell
. The heat equations are coupled by a condition that allows energy to pass back and forth across the interface
Siam Journal on Mathematical Analysis | 2018
Jason S. Howell; Daniel Toundykov; Justin T. Webster
I
Numerical Linear Algebra With Applications | 2018
Jason S. Howell
while preserving the total global energy of the monolithic, coupled problem. To compute approximate solutions to the above problem only using subdomain solvers, two first-order in time, fully discrete methods are presented. The methods consist of an implicit-explicit approach, in which the action across