Now showing items 81-89 of 89
Ferrofluids and magnetically guided superparamagnetic particles in flows: a review of simulations and modeling
(Springer Netherlands, 2017-08-18)
Noncoercive Perturbed Densely Defined Operators and Application to Parabolic Problems
Let 𝑋 be a real locally uniformly convex reflexive separable Banach space with locally uniformly convex dual space 𝑋∗. Let 𝑇: 𝑋 ⊇ 𝐷(𝑇) → 2𝑋∗ be maximal monotone and 𝑆 : 𝑋 ⊇ 𝐷(𝑆) → 𝑋∗ quasibounded generalized ...
Inexact solves in interpolatory model reduction
(Elsevier Science Inc, 2012-04-15)
JigCell Run Manager (JC-RM): a tool for managing large sets of biochemical model parametrizations
(Biomed Central Ltd, 2015-12-24)
Background Most biomolecular reaction modeling tools allow users to build models with a single list of parameter values. However, a common scenario involves different parameterizations of the model to account for the ...
Individual and situational factors related to undergraduate mathematics instruction
Abstract Background In the US, there is significant interest from policy boards and funding agencies to change students’ experiences in undergraduate mathematics classes. Even ...
Analysis of Entropy Generation Rate in an Unsteady Porous Channel Flow with Navier Slip and Convective Cooling
This study deals with the combined effects of Navier Slip, Convective cooling, variable viscosity, and suction/injection on the entropy generation rate in an unsteady flow of an incompressible viscous fluid flowing through ...
Multistate Model Builder (MSMB): a flexible editor for compact biochemical models
(Biomed Central Ltd, 2014-04-04)
Background Building models of molecular regulatory networks is challenging not just because of the intrinsic difficulty of describing complex biological processes. Writing a model is a creative effort that calls for more ...
Optimization and model reduction in the high dimensional parameter space of a budding yeast cell cycle model
(Biomed Central Ltd, 2013-06-28)
Background 'Parameter estimation from experimental data is critical for mathematical modeling of protein regulatory networks. For realistic networks with dozens of species and reactions, parameter estimation is an especially ...