Center for Research in Scientific Computation - 2016

Everett, R. A., Nagy, J. D., & Kuang, Y. (2016). Dynamics of a Data Based Ovarian Cancer Growth and Treatment Model with Time Delay. Journal of Dynamics and Differential Equations, 28(3-4), 1393–1414. https://doi.org/10.1007/S10884-015-9498-Y

Tran, H., & Kennedy, E. A. (2016). Real-Time Stabilization of a Single Inverted Pendulum Using a Power Series Based Controller. In G.-C. Yang, S.-I. Ao, X. Huang, & O. Castillo (Eds.), Transactions on engineering technologies : International MultiConference of Engineers and Computer Scientists 2015 (pp. 1–14). Singapore: Springer.

Tran, H., & Kennedy, E. (2016). Swing-up of an Inverted Pendulum on a Cart Using a Modified Energy Based Approach. International MultiConference of Engineers and Computer Scientists : IMECS 2016 : 16-18 March, 2016, the Royal Garden Hotel, Kowloon, Hong Kong, I, 185–190. Hong Kong: Newswood Limited, International Association of Engineers.

Banks, H. T., Banks, J. E., Murad, N., Rosenheim, J. A., & Tillman, K. (2016). Modelling Pesticide Treatment Effects on Lygus hesperus in Cotton Fields. In IFIP Advances in Information and Communication Technology (pp. 95–106). https://doi.org/10.1007/978-3-319-55795-3_8

Britt, S., Petropavlovsky, S., Tsynkov, S., & Turkel, E. (2016). Difference Potentials Methods for Hyperbolic Problems Using High Order Finite Difference Schemes. In Book of Abstracts, International Conference on Spectral and High Order Methods, ICOSAHOM 2016, 
             Rio De Janeiro, Brazil, June 2016. Retrieved from https://stsynkov.math.ncsu.edu/publications/icosahomAbstract2016.pdf

Wentworth, M. T., Smith, R. C., & Banks, H. T. (2016). Parameter Selection and Verification Techniques Based on Global Sens Analysis Illustrated for an HIV Model. SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION, 4(1), 266–297. https://doi.org/10.1137/15m1008245

Hite, J. M., Mattingly, J. K., Schmidt, K. L., Stelanescu, R., & Smith, R. (2016). Bayesian metropolis methods applied to sensor networks for radiation source localization. 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 389–393. https://doi.org/10.1109/mfi.2016.7849519

McMahan, J. A., Jr., & Smith, R. C. (2016). Parameter Estimation for Predictive Simulation of Oscillatory Systems with Model Discrepancy. IFAC PAPERSONLINE, Vol. 49, pp. 428–433. https://doi.org/10.1016/j.ifacol.2016.10.203

Coleman, K. D., Schmidt, K., & Smith, R. C. (2016). Frequentist and Bayesian Lasso Techniques for Parameter Selection in Nonlinearly Parameterized Models. IFAC PAPERSONLINE, Vol. 49, pp. 416–421. https://doi.org/10.1016/j.ifacol.2016.10.201

Su, X. L., Feng, X. F., & Li, Z. L. (2016). Fourth-order compact schemes for Helmholtz equations with piecewise wave numbers in the polar coordinates. Journal of Computational Mathematics, 34(5), 499–510.

Fedoseyev, A., Kansa, E. J., Tsynkov, S., Petropavlovskiy, S., Osintcev, M., Shumlak, U., & Henshaw, W. D. (2016). A universal framework for non-deteriorating time-domain numerical algorithms in Maxwell’s electrodynamics (M. D. Todorov, Ed.). https://doi.org/10.1063/1.4964955

Banks, H. T., Baraldi, R., Catenacci, J., & Myers, N. (2016). Parameter Estimation Using Unidentified Individual Data in Individual Based Models. MATHEMATICAL MODELLING OF NATURAL PHENOMENA, 11(6), 9–27. https://doi.org/10.1051/mmnp/201611602

Schmidt, K. L., & Smith, R. C. (2016). A PARAMETER SUBSET SELECTION ALGORITHM FORMIXED-EFFECTS MODELS. INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION, 6(5), 405–416. https://doi.org/10.1615/int.j.uncertaintyquantification.2016016469

Banks, H. T., & Catenacci, J. (2016). Aggregate data and the Prohorov Metric Framework: Efficient gradient computation. APPLIED MATHEMATICS LETTERS, 56, 1–9. https://doi.org/10.1016/j.aml.2015.12.004

Kojima, F., & Banks, H. T. (2016). Statistical parameter estimation of dielectric materials using MCMC for nonlinear hierarchical models. INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, Vol. 52, pp. 49–54. https://doi.org/10.3233/jae-162207

Banks, H. T., Catenacci, J., & Criner, A. (2016). Quantifying the degradation in thermally treated ceramic matrix composites. INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, Vol. 52, pp. 3–24. https://doi.org/10.3233/jae-162168

Nguyen, T. M., Tran, H. T., Wang, Z., Coons, A., Nguyen, C. C., Lane, S. A., … Wang, G. (2016). RFI modeling and prediction approach for SATOP applications: RFI prediction models. In K. D. Pham & G. Chen (Eds.), Sensors and Systems for Space Applications IX (Vol. 9838). https://doi.org/10.1117/12.2223518

Melnyk, L. J., Wang, Z., Li, Z., & Xue, J. (2016). Prioritization of pesticides based on daily dietary exposure potential as determined from the SHEDS model. FOOD AND CHEMICAL TOXICOLOGY, 96, 167–173. https://doi.org/10.1016/j.fct.2016.07.025

Smith, R. C., Anderson, I., Hartl, D., Atulasimha, J., Sarles, S. A., Wissa, A., & Shafer, M. (2016, October). Adaptive and active materials: selected papers from the ASME 2015 Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS 15) (Colorado Springs, CO, USA, 21-23 September 2015). SMART MATERIALS AND STRUCTURES, Vol. 25. https://doi.org/10.1088/0964-1726/25/10/100201

Lewis, A., Smith, R., & Williams, B. (2016). Gradient free active subspace construction using Morris screening elementary effects. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 72(6), 1603–1615. https://doi.org/10.1016/j.camwa.2016.07.022

Lewis, A., Smith, R., Williams, B., & Figueroa, V. (2016). An information theoretic approach to use high-fidelity codes to calibrate low-fidelity codes. JOURNAL OF COMPUTATIONAL PHYSICS, 324, 24–43. https://doi.org/10.1016/j.jcp.2016.08.001

Oates, W. S., Miles, P., Leon, L., & Smith, R. (2016). Uncertainty analysis of continuum scale ferroelectric energy landscapes using density functional theory. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2016, Vol. 9800. https://doi.org/10.1117/12.2219273

Banks, H. T., Catenacci, J., & Hu, S. H. (2016). Use of difference-based methods to explore statistical and mathematical model discrepancy in inverse problems. Journal of Inverse and Ill-Posed Problems, 24(4), 413–433.

Stemkovski, M., Baraldi, R., Flores, K. B., & Banks, H. T. (2016). Validation of a mathematical model for green algae (Raphidocelis Subcapitata) growth and implications for a coupled dynamical system with Daphnia magna. Applied Sciences-Basel, 6(5).

Chen, X., & Kelley, C. T. (2016). Optimization with hidden constraints and embedded Monte Carlo computations. OPTIMIZATION AND ENGINEERING, 17(1), 157–175. https://doi.org/10.1007/s11081-015-9302-1

Banks, H. T., Flores, K. B., & Sindi, S. S. (2016). On analytical and numerical approaches to division and label structured population models. APPLIED MATHEMATICS LETTERS, 60, 81–88. https://doi.org/10.1016/j.aml.2016.04.009

Li, Z., & Mikayelyan, H. (2016). Fine numerical analysis of the crack-tip position for a Mumford-Shah minimizer. INTERFACES AND FREE BOUNDARIES, 18(1), 75–90. https://doi.org/10.4171/ifb/357

Zhang, Q., Li, Z., & Zhang, Z. (2016). A Sparse Grid Stochastic Collocation Method for Elliptic Interface Problems with Random Input. JOURNAL OF SCIENTIFIC COMPUTING, 67(1), 262–280. https://doi.org/10.1007/s10915-015-0080-x

Fancher, C. M., Han, Z., Levin, I., Page, K., Reich, B. J., Smith, R. C., … Jones, J. L. (2016). Use of Bayesian Inference in Crystallographic Structure Refinement via Full Diffraction Profile Analysis. Scientific Reports, 6(1). https://doi.org/10.1038/srep31625

Zhu, L., Zhang, Z. Y., & Li, Z. L. (2016). The immersed finite volume element method for some interface problems with nonhomogeneous jump conditions. International Journal of Numerical Analysis and Modeling, 13(3), 368–382.

Andreev, V. B., Banks, H. T., Dulikravich, G. S., Hofmann, B., Kabanikhin, S. I., Kuchuk, F. J., … Zirilli, F. (2016). In celebration of the 60th birthday of Professor Alemdar Hasanoglu (Hasanov). Journal of Inverse and Ill-Posed Problems, 24(2), 109–110.

Zhang, S. D. M., & Li, Z. L. (2016). An augmented iim for helmholtz/poisson equations on irregular domains in complex space. International Journal of Numerical Analysis and Modeling, 13(1), 166–178.

Li, Z. (2016). An augmented Cartesian grid method for Stokes-Darcy fluid-structure interactions. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 106(7), 556–575. https://doi.org/10.1002/nme.5131

Banks, H. T., Banks, J. E., Everett, R. A., & Stark, J. D. (2016). AN ADAPTIVE FEEDBACK METHODOLOGY FOR DETERMINING INFORMATION CONTENT IN STABLE POPULATION STUDIES. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 13(4), 653–671. https://doi.org/10.3934/mbe.2016013

Medvinsky, M., Tsynkov, S., & Turkel, E. (2016). Solving the Helmholtz equation for general smooth geometry using simple grids. WAVE MOTION, 62, 75–97. https://doi.org/10.1016/j.wavemoti.2015.12.004

Ji, H., Chen, J., & Li, Z. (2016). Augmented immersed finite element methods for some elliptic partial differential equations. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 93(3), 540–558. https://doi.org/10.1080/00207160.2015.1005010

Wyers, E. J., Morton, M. A., Sollner, T. C. L. G., Kelley, C. T., & Franzon, P. D. (2016). A Generally Applicable Calibration Algorithm for Digitally Reconfigurable Self-Healing RFICs. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 24(3), 1151–1164. https://doi.org/10.1109/tvlsi.2015.2424211

Banks, H. T., Hu, S., Link, K., Rosenberg, E. S., Mitsuma, S., & Rosario, L. (2016). Modelling immune response to BK virus infection and donor kidney in renal transplant recipients. INVERSE PROBLEMS IN SCIENCE AND ENGINEERING, 24(1), 127–152. https://doi.org/10.1080/17415977.2015.1017484

Hamilton, S., Berrill, M., Clarno, K., Pawlowski, R., Toth, A., Kelley, C. T., … Philip, B. (2016). An assessment of coupling algorithms for nuclear reactor core physics simulations. JOURNAL OF COMPUTATIONAL PHYSICS, 311, 241–257. https://doi.org/10.1016/j.jcp.2016.02.012

Ji, H., Chen, J., & Li, Z. (2016). A new augmented immersed finite element method without using SVD interpolations. NUMERICAL ALGORITHMS, 71(2), 395–416. https://doi.org/10.1007/s11075-015-9999-0

Bernstein, A., Chertock, A., & Kurganov, A. (2016). Central-upwind scheme for shallow water equations with discontinuous bottom topography. BULLETIN OF THE BRAZILIAN MATHEMATICAL SOCIETY, 47(1), 91–103. https://doi.org/10.1007/s00574-016-0124-3