Center for Research in Scientific Computation

Works Published in 2014

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Displaying works 1 - 20 of 33 in total

Sorted by most recent date added to the index first, which may not be the same as publication date order.

2014 journal article

Sparse interpolatory reduced-order models for simulation of light-induced molecular transformations

Optimization Methods and Software, 29(2), 264–273.

By: M. Aoi n, C. Kelley n, V. Novak* & M. Olufsen n

TL;DR: A sensitivity analysis, ranking model parameters from the most to the least sensitive, and an analysis (using a methodology called subset selection) that allows identification of correlations among model parameters are presented. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: July 1, 2022

2014 journal article

A multi-scale method for dynamics simulation in continuum solvent models. I: Finite-difference algorithm for Navier–Stokes equation

Chemical Physics Letters, 616-617, 67–74.

TL;DR: The initial efforts to formulate the physical concepts necessary for coupling the two mechanics and develop a 3D numerical algorithm to simulate the solvent fluid via the Navier-Stokes equation are reported. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: March 21, 2021

2014 journal article

On convergence of the immersed boundary method for elliptic interface problems

Mathematics of Computation, 84(293), 1169–1188.

By: Z. Li n

Sources: Crossref, NC State University Libraries
Added: January 21, 2021

2014 conference paper

Applying Machine Learning Techniques to Baseball Pitch Prediction

In M. De Marsico, A. Tabbone, & A. Fred (Eds.), Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods (Vol. 1, pp. 520–527).

By: M. Hamilton*, P. Hoang n, L. Layne*, J. Murray n, D. Padget*, C. Stafford*, H. Tran n

Ed(s): M. De Marsico, A. Tabbone & A. Fred

Event: International Conference on Pattern Recognition Applications and Methods

TL;DR: This work applies several common machine learning classification methods to PITCHf/x data to classify pitches by type and performs significant feature analysis and introduces a novel approach for feature selection, achieving moderate improvement over former results. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: October 31, 2020

2014 chapter

Baseball pitch classification

In IAENG Transactions on Engineering Sciences (pp. 393–399).

By: A. Attarian, G. Danis, J. Gronsbell, G. Iervolino, L. Layne, D. Padgett, H. Tran

Sources: Crossref, ORCID
Added: January 3, 2020

2014 conference paper

Detection of Material Dispersion Using SAR

Proceedings of the 10th European Conference on Synthetic Aperture Radar (EUSAR 2014), 1013–1016. https://stsynkov.math.ncsu.edu/publications/eusar-2014.pdf

By: M. Gilman & S. Tsynkov

Event: at Berlin-Offenbach, Germany

Source: ORCID
Added: September 6, 2019

2014 journal article

Estimating Sampling Distributions of Apparent Thermal Diffusivity for Partially Saturated Soils

IEEE Trans. Geosci. Remote Sensing, 15.

By: O. Eslinger, C. Winton, J. Ballard, S. Howington, A. Fregosi, K. Ward, C. Kelley

Source: ORCID
Added: August 29, 2019

2014 book

Uncertainty Quantification: Theory, Implementation and Applications

Philadelphia: SIAM.

By: R. Smith

Sources: NC State University Libraries, ORCID
Added: July 10, 2019

2014 journal article

HDMR applied to the 1-D, Single Speed Neutron Transport k-Eigenvalue Problem

Nuclear Science and Engineering, 177, 1–11.

By: Z. Hu, R. Smith, J. Willert & C. Kelley

Source: NC State University Libraries
Added: July 10, 2019

2014 conference paper

Uncertainty analysis of a finite deformation viscoelastic model

Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, 2014, vol 2.

By: P. Miles*, M. Hays*, R. Smith n & W. Oates*

Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2014 conference paper

Model calibration for beam models in the presence of model discrepancy

Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, 2014, vol 1.

By: A. Lewis n, J. McMahan n & R. Smith n

UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2014 conference paper

ncertainty quantification for robust control design of smart material systems

Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems - 2013, vol 1.

By: J. McMahan n & R. Smith n

Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2014 conference paper

Construction of Bayesian prediction intervals for smart systems

Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems - 2013, vol 1.

By: M. Wentworth n & R. Smith n

TL;DR: Adapt Metropolis algorithms are employed to construct densities for parameters and quantities of interest for models arising in the analysis of smart material structures by propagating uncertainties through the models. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2014 conference paper

Uncertainty quantification for a model of HIV-1 patient response to antiretroviral therapy interruptions

2014 american control conference (acc), 2753–2758.

Source: NC State University Libraries
Added: August 6, 2018

2014 conference paper

Decomposition of permittivity contributions from reflectance using mechanism models

2014 american control conference (acc), 367–372.

Source: NC State University Libraries
Added: August 6, 2018

2014 journal article

Special issue on fluid structure interactions preface

Numerical Mathematics: Theory, Methods and Applications, 7(4), I-.

By: Z. Li

Source: NC State University Libraries
Added: August 6, 2018

2014 journal article

Solving Two-Mode Shallow Water Equations Using Finite Volume Methods

COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 16(5), 1323–1354.

By: M. Castro Diaz, Y. Cheng*, A. Chertock n & A. Kurganov*

author keywords: Two-mode shallow water equations; nonconservative products; conditional hyperbolicity; finite volume methods; central-upwind schemes; splitting methods; upwind schemes
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (OpenAlex)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2014 journal article

DYNAMIC MODELING OF BEHAVIOR CHANGE

QUARTERLY OF APPLIED MATHEMATICS, 72(2), 209–251.

By: H. Banks*, K. Rehm, K. Sutton, C. Davis, L. Hail, A. Kuerbis, J. Morgenstern n

author keywords: Mathematical psychology; inverse problems; delay differential equations; behavior change; model comparison
TL;DR: This work presents a novel dynamical systems modeling approach to understand the processes governing an individual’s behavior in the context of problem drinking, and discusses the construction of an initial mathematical model for two starkly distinct individuals. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2014 journal article

An Eulerian-Lagrangian method for optimization problems governed by multidimensional nonlinear hyperbolic PDEs

COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 59(3), 689–724.

author keywords: Optimal control; Multidimensional hyperbolic partial differential equations; Numerical methods
TL;DR: A hybrid method is developed, which utilizes advantages of both the Eulerian finite-volume central-upwind scheme and the Lagrangian discrete characteristics method for solving the adjoint transport equation for hyperbolic balance laws in one and two space dimensions. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2014 journal article

A Hybrid Deterministic/Monte Carlo Method for Solving the k-Eigenvalue Problem with a Comparison to Analog Monte Carlo Solutions

Journal of Computational and Theoretical Transport, 43(1-7), 50–67.

By: J. Willert*, C. Kelley n, D. Knoll* & H. Park*

author keywords: neutron transport; k-eigenvalue problem; hybrid methods; moment-based acceleration
UN Sustainable Development Goal Categories
Sources: Web Of Science, Crossref, ORCID
Added: August 6, 2018

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