Mathematics - 2019

Chandra, S., & Papanicolaou, A. (2019). Singular Perturbation Expansion for Utility Maximization with Order-ε Quadratic Transaction Costs. International Journal of Theoretical and Applied Finance, 22(7), 1950039. https://doi.org/10.1142/S0219024919500390

Avellaneda, M., & Papanicolaou, A. (2019). STATISTICS OF VIX FUTURES AND APPLICATIONS TO TRADING VOLATILITY EXCHANGE-TRADED PRODUCTS. International Journal of Theoretical and Applied Finance, 22(01), 1850061. https://doi.org/10.1142/s0219024918500619

Papanicolaou, A. (2019). Backward SDEs for control with partial information. Mathematical Finance, 29(1), 208–248. https://doi.org/10.1111/mafi.12174

Amaral, L. R., & Papanicolaou, A. (2019). PRICE IMPACT OF LARGE ORDERS USING HAWKES PROCESSES. The ANZIAM Journal, 61(02), 161–194. https://doi.org/10.1017/S1446181119000038

Statistical Arbitrage for Multiple Co-Integrated Stocks. (2019, August 6). https://doi.org/10.1007/s00245-022-09838-3

Combettes, P. L., & Glaudin, L. E. (2019). Fully Proximal Splitting Algorithms In Image Recovery. 2019 27th European Signal Processing Conference (EUSIPCO). Presented at the 2019 27th European Signal Processing Conference (EUSIPCO), A Coruna, Spain. https://doi.org/10.23919/eusipco.2019.8903039

Gasparovic, E., Gommel, M., Purvine, E., Sazdanovic, R., Wang, B., Wang, Y., & Ziegelmeier, L. (2019). The relationship between the intrinsic Čech and persistence distortion distances for metric graphs. Journal of Computational Geometry, 10(1), 477–499.

Sazdanovic, R., & Summers, V. (2019). Torsion in the Magnitude homology of graphs (ArXiv No. 1912.13483).

Chandler, A., Sazdanovic, R., Stella, S., & Yip, M. (2019). On the Strength of Chromatic Symmetric Homology for graphs (ArXiv No. 1911.13297).

Gasparovic, E., Gommel, M., Purvine, E., Sazdanovic, R., Wang, B., Wang, Y., & Ziegelmeier, L. (2019). Local Versus Global Distances for Zigzag Persistence Modules (ArXiv No. 1903.08298).

Chandler, A., & Sazdanovic, R. (2019). A Broken Circuit Model for Chromatic Homology Theories (Arxiv No. 1911.13226).

Cooper, A. A., Silva, V., & Sazdanovic, R. (2019). On configuration spaces and simplicial complexes. New York J. Math, 25, 723–744.

Duality of sum of nonnegative circuit polynomials and optimal SONC bounds. (2019, December 10).

Li, Z., & Norris, L. (2019). Introduction to Partial Differential Equations. https://doi.org/10.1142/12052

Fan, P., Zhou, R.-G., Hu, W. W., & Jing, N. H. (2019). Quantum image edge extraction based on Laplacian operator and zero-cross method. Quantum Information Processing, 18(1). https://doi.org/10.1007/S11128-018-2129-X

Campbell, S. L., & Campbell, M. A. (2019). A Problem from Genetics and the Singular Value Decomposition [Preprint]. https://doi.org/10.13140/RG.2.2.29979.92964

Nelson, S., Oyamaguchi, N., & Sazdanovic, R. (2019). Psyquandles, Singular Knots and Pseudoknots. TOKYO JOURNAL OF MATHEMATICS, 42(2), 405–429. https://doi.org/10.3836/tjm/1502179287

Colebank, M., Qureshi, M. U., & Olufsen, M. S. (2019). Sensitivity analysis and uncertainty quantification of 1-D models of pulmonary hemodynamics in mice under control and hypertensive conditions. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING, Vol. 7. https://doi.org/10.1002/cnm.3242

PORO-VISCO-ELASTIC MODELS IN BIOMECHANICS: SENSITIVITY ANALYSIS. (2019). Communications in Applied Analysis. https://doi.org/10.12732/caa.v23i1.5

Hart, J. L., & Gremaud, P. A. (2019). Robustness of the Sobol' Indices to Marginal Distribution Uncertainty. SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION, 7(4), 1224–1244. https://doi.org/10.1137/18M123387X

Jones, J. L., Broughton, R., Iamsasri, T., Fancher, C. M., Wilson, A. G., Reich, B., & Smith, R. C. (2019). The use of Bayesian inference in the characterization of materials and thin films. ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, Vol. 75, pp. A211–A211. https://doi.org/10.1107/S0108767319097940

Cleaves, H. L., Alexanderian, A., Guy, H., Smith, R. C., & Yu, M. (2019). DERIVATIVE-BASED GLOBAL SENSITIVITY ANALYSIS FOR MODELS WITH HIGH-DIMENSIONAL INPUTS AND FUNCTIONAL OUTPUTS. SIAM JOURNAL ON SCIENTIFIC COMPUTING, 41(6), A3524–A3551. https://doi.org/10.1137/19M1243518

Combettes, P. L., & Glaudin, L. E. (2019). Proximal Activation of Smooth Functions in Splitting Algorithms for Convex Image Recovery. SIAM Journal on Imaging Sciences, 12(4), 1905–1935. https://doi.org/10.1137/18M1224763

Bryc, W., & Silverstein, J. W. (2019). Singular values of large non-central random matrices. Random Matrices: Theory and Applications, 6, 2050012. https://doi.org/10.1142/s2010326320500124

Liu, R. I., Meszaros, K., & St Dizier, A. (2019). GELFAND-TSETLIN POLYTOPES: A STORY OF FLOW AND ORDER POLYTOPES. SIAM JOURNAL ON DISCRETE MATHEMATICS, 33(4), 2394–2415. https://doi.org/10.1137/19M1251242

Misra, P., & Sullivant, S. (2019). BOUNDS ON THE EXPECTED SIZE OF THE MAXIMUM AGREEMENT SUBTREE FOR A GIVEN TREE SHAPE. SIAM JOURNAL ON DISCRETE MATHEMATICS, 33(4), 2316–2325. https://doi.org/10.1137/18M1213695

Rodent gene drives for conservation: opportunities and data needs. (2019). Proceedings of the Royal Society B: Biological Sciences. https://doi.org/10.1098/rspb.2019.1606

Chen, S.-Y., Bardall, A., Shearer, M., & Daniels, K. E. (2019). Distinguishing deformation mechanisms in elastocapillary experiments. Soft Matter, 15(46), 9426–9436. https://doi.org/10.1039/C9SM01756A

Anari, N., Liu, K., Gharan, S. O., & Vinzant, C. (2019). Log-Concave Polynomials II: High-Dimensional Walks and an FPRAS for Counting Bases of a Matroid. PROCEEDINGS OF THE 51ST ANNUAL ACM SIGACT SYMPOSIUM ON THEORY OF COMPUTING (STOC '19), pp. 1–12. https://doi.org/10.1145/3313276.3316385

A model of debt with bankruptcy risk and currency devaluation. (2019, October 1).

Ancona, F., Glass, O., & Nguyen, K. T. (2019). On Kolmogorov Entropy Compactness Estimates for Scalar Conservation Laws Without Uniform Convexity. SIAM Journal on Mathematical Analysis, 51(4), 3020–3051. https://doi.org/10.1137/18m1198090

Mazzola, M., & Nguyen, K. T. (2019). Lyapunov’s Theorem via Baire Category. In Springer INdAM Series (Vol. 32, pp. 181–194). https://doi.org/10.1007/978-3-030-17949-6_10

Bressan, A., Mazzola, M., & Nguyen, K. T. (2019). Approximation of Sweeping Processes and Controllability for a Set-Valued Evolution. SIAM Journal on Control and Optimization, 57(4), 2487–2514. https://doi.org/10.1137/18m1189610

Li, Z., Dong, B., Tong, F., & Wang, W. (2019). An Augmented IB Method & Analysis for Elliptic BVP on Irregular Domains. CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 119(1), 63–72. https://doi.org/10.32604/cmes.2019.04635

Jing, N., & Liu, M. (2019). ON FUSION PROCEDURE FOR THE TWO-PARAMETER QUANTUM ALGEBRA IN TYPE A. BULLETIN OF THE INSTITUTE OF MATHEMATICS ACADEMIA SINICA NEW SERIES, 14(1), 15–29. https://doi.org/10.21915/BIMAS.2019102

Noorman, M., Allen, R., Musante, C. J., & Banks, H. T. (2019). Analysis of compartments-in-series models of liver metabolism as partial differential equations: the effect of dispersion and number of compartments. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 16(3), 1082–1114. https://doi.org/10.3934/mbe.2019052

Cavany, S. M., España, G., Lloyd, A. L., Waller, L. A., Kitron, U., Astete, H., … Perkins, T. A. (2019, October 2). Optimizing the deployment of ultra-low volume and indoor residual spraying for dengue outbreak response. https://doi.org/10.1101/19007971

Hollingsworth, B., Okamoto, K. W., & Lloyd, A. L. (2019, April 19). After the honeymoon, the divorce: unexpected outcomes of disease control measures against endemic infections (Vol. 4). Vol. 4. https://doi.org/10.1101/608653

Adams, C. C., Gordon, C. M. A., Jones, V. F. R., Kauffman, L. H., Lambropoulou, S., Millett, K., … Sazdanovic, R. (2019, November). Knots, low-dimensional topology and applications Preface. JOURNAL OF KNOT THEORY AND ITS RAMIFICATIONS, Vol. 28. https://doi.org/10.1142/S0218216519030019

Chertock, A., & Kurganov, A. (2019). High-Resolution Positivity and Asymptotic Preserving Numerical Methods for Chemotaxis and Related Models. ACTIVE PARTICLES, VOL 2: ADVANCES IN THEORY, MODELS, AND APPLICATIONS, pp. 109–148. https://doi.org/10.1007/978-3-030-20297-2_4

Hendricks, K., Hom, J., & Lidman, T. (2019). APPLICATIONS OF INVOLUTIVE HEEGAARD FLOER HOMOLOGY. Journal of the Institute of Mathematics of Jussieu, 1–38. https://doi.org/10.1017/S147474801900015X

Colebank, M. J., Paun, L. M., Qureshi, M. U., Chesler, N., Husmeier, D., Olufsen, M. S., & Fix, L. E. (2019). Influence of image segmentation on one-dimensional fluid dynamics predictions in the mouse pulmonary arteries. JOURNAL OF THE ROYAL SOCIETY INTERFACE, 16(159). https://doi.org/10.1098/rsif.2019.0284

Freedman, B., & Rodriguez, J. (2019). EXISTENCE OF SOLUTIONS TO NONLINEAR LEGENDRE BOUNDARY VALUE PROBLEMS. DIFFERENTIAL EQUATIONS & APPLICATIONS, 11(4), 495–508. https://doi.org/10.7153/dea-2019-11-24

Alexanderian, A., Reese, W., Smith, R. C., & Yu, M. (2019). Model Input and Output Dimension Reduction Using Karhunen-Loeve Expansions With Application to Biotransport. ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART B-MECHANICAL ENGINEERING, 5(4). https://doi.org/10.1115/1.4044317

Cook, J. A., Smith, R. C., Hite, J. M., Stefanescu, R., & Mattingly, J. (2019). Application and Evaluation of Surrogate Models for Radiation Source Search. ALGORITHMS, 12(12). https://doi.org/10.3390/a12120269

Cockayne, J., Oates, C. J., Ipsen, I. C. F., & Girolami, M. (2019). A Bayesian conjugate gradient method. Bayesian Anal., 14(3), 937–1012. https://doi.org/doi:10.1214/19-BA1145

Koelle, K., Farrell, A. P., Brooke, C. B., & Ke, R. (2019). Within-host infectious disease models accommodating cellular coinfection, with an application to influenza. VIRUS EVOLUTION, 5(2). https://doi.org/10.1093/ve/vez018

Lidman, T., Moore, A. H., & Vazquez, M. (2019). Distance one lens space fillings and band surgery on the trefoil knot. ALGEBRAIC AND GEOMETRIC TOPOLOGY, 19(5), 2439–2484. https://doi.org/10.2140/agt.2019.19.2439

Ali, Q. (2019, March 15). Non-conventional therapeutic technique to replace CRISPR bacteria from biofilm by inducible lysogen. JOURNAL OF BIOLOGICAL DYNAMICS, Vol. 13, pp. 151–178. https://doi.org/10.1080/17513758.2018.1527958

Hart, J., & Gremaud, P. (2019). ROBUSTNESS OF THE SOBOL' INDICES TO DISTRIBUTIONAL UNCERTAINTY. INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION, 9(5), 453–469. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2019030553

Adams, C. C., Gordon, C. M. A., Jones, V. F. R., Kauffman, L. H., Lambropoulou, S., Millett, K., … Sazdanovic, R. (2019, October). Knots, low-dimensional topology and applications Preface. JOURNAL OF KNOT THEORY AND ITS RAMIFICATIONS, Vol. 28. https://doi.org/10.1142/S0218216519020012

Dumas, J.-G., Kaltofen, E., Lucas, D., & Pernet, C. (2019). Elimination-based certificates for triangular equivalence and rank profiles. JOURNAL OF SYMBOLIC COMPUTATION, Vol. 98, pp. 246–269. https://doi.org/10.1016/j.jsc.2019.07.013

Chertock, A., Kurganov, A., Lukáčová-Medvid’ová, M., Spichtinger, P., & Wiebe, B. (2019). Stochastic Galerkin method for cloud simulation. Mathematics of Climate and Weather Forecasting, 5(1), 65–106. https://doi.org/10.1515/mcwf-2019-0005

Gordon, N., Gilkey, L., Smith, R. C., Michaud, I., Williams, B., Mousseau, V., … Jones, C. (2019, December 2). A Mutual Information-Based Experimental Design Framework to Use High-Fidelity Nuclear Reactor Codes to Calibrate Low-Fidelity Codes. NUCLEAR TECHNOLOGY, Vol. 205, pp. 1685–1696. https://doi.org/10.1080/00295450.2019.1590073

Randall, E. B., Billeschou, A., Brinth, L. S., Mehlsen, J., & Olufsen, M. S. (2019). A model-based analysis of autonomic nervous function in response to the Valsalva maneuver. JOURNAL OF APPLIED PHYSIOLOGY, 127(5), 1386–1402. https://doi.org/10.1152/japplphysiol.00015.2019

Kennedy, E., King, E., & Tran, H. (2019). Real-time implementation and analysis of a modified energy based controller for the swing-up of an inverted pendulum on a cart. EUROPEAN JOURNAL OF CONTROL, 50, 176–187. https://doi.org/10.1016/j.ejcon.2019.05.002

Murray, R., Swenson, B., & Kar, S. (2019). Revisiting Normalized Gradient Descent: Fast Evasion of Saddle Points. IEEE Transactions on Automatic Control, 64(11), 4818–4824. https://doi.org/10.1109/TAC.2019.2914998

Leoni, G., & Murray, R. (2019). Local minimizers and slow motion for the mass preserving Allen–Cahn equation in higher dimensions. Proceedings of the American Mathematical Society, 147(12), 5167–5182. https://doi.org/10.1090/proc/13988

Reading, N. (2019). Lattice homomorphisms between weak orders. Electron. J. Combin., 26(2), Paper 2.23, 50. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85067350483&partnerID=MN8TOARS

Preface to the Special Issue in Memory of Professor Saul Abarbanel. (2019). Journal of Scientific Computing. https://doi.org/10.1007/s10915-019-01084-0

Closure to “Discussion of ‘Extreme Events: Mechanisms and Prediction’” (Grigoriu, M. D., and Uy, W. I. T., ASME Appl. Mech. Rev., 2019, 71(5), p. 055501). (2019). Applied Mechanics Reviews. https://doi.org/10.1115/1.4043632

Are extreme dissipation events predictable in turbulent fluid flows? (2019). Physical Review Fluids. https://doi.org/10.1103/physrevfluids.4.044606

Farazmand, M. (2019). Mitigation of tipping point transitions by time-delay feedback control. ArXiv Preprint ArXiv:1911.05292.

Farazmand, M., & Sapsis, T. P. (2019). Extreme Events: Mechanisms and Prediction. Applied Mechanics Reviews, 71(5). https://doi.org/10.1115/1.4042065

Farazmand, M., & Sapsis, T. (2019). Surface Waves Enhance Particle Dispersion. Fluids. https://doi.org/10.3390/fluids4010055

Hong, H., Ovchinnikov, A., Pogudin, G., & Yap, C. (2019). SIAN: a tool for assessing structural identifiability of parametric ODEs. ACM COMMUNICATIONS IN COMPUTER ALGEBRA, 53(2), 37–40. https://doi.org/10.1145/3371991.3371993

Banks, H. T., Bekele-Maxwell, K., Bociu, L., Noorman, M., & Guidiboni, G. (2019). LOCAL SENSITIVITY VIA THE COMPLEX-STEP DERIVATIVE APPROXIMATION FOR 1D PORO-ELASTIC AND PORO-VISCO-ELASTIC MODELS. MATHEMATICAL CONTROL AND RELATED FIELDS, 9(4), 623–642. https://doi.org/10.3934/mcrf.2019044

Igarashi, M., Misra, K. C., & Pongprasert, S. (2019). D-5((1))-Geometric crystal corresponding to the Dynkin spin node i=5 and its ultra-discretization. JOURNAL OF ALGEBRA AND ITS APPLICATIONS, 18(12). https://doi.org/10.1142/S021949881950227X

Heikkola, E., Ito, K., & Toivanen, J. (2019). A PARALLEL DOMAIN DECOMPOSITION METHOD FOR THE HELMHOLTZ EQUATION IN LAYERED MEDIA. SIAM JOURNAL ON SCIENTIFIC COMPUTING, 41(5), C505–C521. https://doi.org/10.1137/18M1230906

Sudweeks, J., Hollingsworth, B., Blondel, D. V., Campbell, K. J., Dhole, S., Eisemann, J. D., … Lloyd, A. L. (2019). Locally Fixed Alleles: A method to localize gene drive to island populations. SCIENTIFIC REPORTS, 9. https://doi.org/10.1038/s41598-019-51994-0

Girolami, M., Ipsen, I. C. F., Oates, C. J., Owen, A. B., & Sullivan, T. J. (2019, November). Editorial: special edition on probabilistic numerics. STATISTICS AND COMPUTING, Vol. 29, pp. 1181–1183. https://doi.org/10.1007/s11222-019-09892-y

Bartels, S., Cockayne, J., Ipsen, I. C. F., & Hennig, P. (2019). Probabilistic linear solvers: a unifying view. STATISTICS AND COMPUTING, 29(6), 1249–1263. https://doi.org/10.1007/s11222-019-09897-7

Yao, Y., Zhang, Y., Tian, L., Zhou, N., Li, Z., & Wang, M. (2019). Analysis of Network Structure of Urban Bike-Sharing System: A Case Study Based on Real-Time Data of a Public Bicycle System. SUSTAINABILITY, 11(19). https://doi.org/10.3390/su11195425

Butorac, M., Jing, N., & Kozic, S. (2019). h-Adic quantum vertex algebras associated with rational R-matrix in types B, C and D. LETTERS IN MATHEMATICAL PHYSICS, 109(11), 2439–2471. https://doi.org/10.1007/s11005-019-01199-3

Morrow, Z., Liu, C., Kelley, C. T., & Jakubikova, E. (2019). Approximating Periodic Potential Energy Surfaces with Sparse Trigonometric Interpolation. The Journal of Physical Chemistry B, 123(45), 9677–9684. https://doi.org/10.1021/acs.jpcb.9b08210

Hong, H., Ovchinnikov, A., Pogudin, G., & Yap, C. (2019). SIAN: software for structural identifiability analysis of ODE models. BIOINFORMATICS, 35(16), 2873–2874. https://doi.org/10.1093/bioinformatics/bty1069

Banks, H. T., & Joyner, M. L. (2019). ADAPTION OF AKAIKE INFORMATION CRITERION UNDER LEAST SQUARES FRAMEWORKS FOR COMPARISON OF STOCHASTIC MODELS. QUARTERLY OF APPLIED MATHEMATICS, 77(4), 831–859. https://doi.org/10.1090/qam/1542

Dhole, S., Lloyd, A. L., & Gould, F. (2019). Tethered homing gene drives: A new design for spatially restricted population replacement and suppression. EVOLUTIONARY APPLICATIONS, 12(8), 1688–1702. https://doi.org/10.1111/eva.12827

Xiao, Y., Guo, C., Meng, F., Jing, N., & Yung, M.-H. (2019). Incompatibility of observables as state-independent bound of uncertainty relations. PHYSICAL REVIEW A, 100(3). https://doi.org/10.1103/PhysRevA.100.032118

Zhao, J. Y., Zhao, H., Jing, N., & Fei, S.-M. (2019). Detection of Genuine Multipartite Entanglement in Multipartite Systems. INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS, 58(10), 3181–3191. https://doi.org/10.1007/s10773-019-04193-6

Saibaba, A. K., Bardsley, J., Brown, D. A., & Alexanderian, A. (2019). Efficient Marginalization-Based MCMC Methods for Hierarchical Bayesian Inverse Problems. SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION, 7(3), 1105–1131. https://doi.org/10.1137/18M1220625

Yu, B., Jing, N., & Li-Jost, X. (2019). Distribution of spin correlation strengths in multipartite systems. QUANTUM INFORMATION PROCESSING, 18(11). https://doi.org/10.1007/s11128-019-2458-4

Schacht, C., Meade, A., Banks, H. T., Enderling, H., & Abate-Daga, D. (2019). Estimation of probability distributions of parameters using aggregate population data: analysis of a CAR T-cell cancer model. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 16(6), 7299–7326. https://doi.org/10.3934/mbe.2019365

Yao, Y., Jiang, X., & Li, Z. (2019). Spatiotemporal characteristics of green travel: A classification study on a public bicycle system. JOURNAL OF CLEANER PRODUCTION, 238. https://doi.org/10.1016/j.jclepro.2019.117892

Peng, H., & Pang, T. (2019). Optimal strategies for a three-level contract-farming supply chain with subsidy. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 216, 274–286. https://doi.org/10.1016/j.ijpe.2019.06.011

Bakalov, B., De Sole, A., Heluani, R., & Kac, V. G. (2019). An operadic approach to vertex algebra and Poisson vertex algebra cohomology. JAPANESE JOURNAL OF MATHEMATICS, 14(2), 249–342. https://doi.org/10.1007/s11537-019-1825-3

Peng, H., & Pang, T. (2019). A mutual-aid mechanism for supply chains with capital constraints. INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT, 14(4), 304–312. https://doi.org/10.1080/17509653.2019.1578275

Farazmand, M., & Sapsis, T. P. (2019). Closed-loop adaptive control of extreme events in a turbulent flow. PHYSICAL REVIEW E, 100(3). https://doi.org/10.1103/PhysRevE.100.033110

Benfield, M., Jenssen, H. K., & Kogan, I. A. (2019). A Generalization of an Integrability Theorem of Darboux. The Journal of Geometric Analysis, 29(4), 3470–3493. https://doi.org/10.1007/s12220-018-00119-6

Ellis, J. A., Evans, T. M., Hamilton, S. P., Kelley, C. T., & Pandya, T. M. (2019). Optimization of processor allocation for domain decomposed Monte Carlo calculations. Parallel Computing, 87, 77–86. https://doi.org/10.1016/j.parco.2019.06.001

One-Dimensional/Two-Dimensional Coupling Approach with Quadrilateral Confluence Region for Modeling River Systems. (2019). Journal of Scientific Computing. https://doi.org/10.1007/s10915-019-00985-4

Geng, F., Lin, X.-B., & Liu, X. (2019). Chaotic Traveling Wave Solutions in Coupled Chua's Circuits. JOURNAL OF DYNAMICS AND DIFFERENTIAL EQUATIONS, 31(3), 1373–1396. https://doi.org/10.1007/s10884-017-9631-1

Miles, P. R., Pash, G. T., Smith, R. C., & Oates, W. S. (2019). Global Sensitivity Analysis of Fractional-Order Viscoelasticity Models. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS XIII, Vol. 10968. https://doi.org/10.1117/12.2514160

Bravo, N., & Smith, R. C. (2019). Parameter-dependent Surrogate Model Development for PZT Bimorph Actuators Employed for Micro-air Vehicles. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS XIII, Vol. 10968. https://doi.org/10.1117/12.2514246

Chertock, A., Degond, P., Hecht, S., & Vincent, J.-P. (2019). Incompressible limit of a continuum model of tissue growth with segregation for two cell populations. Math. Biosci. Eng., 16(5), 5804–5835. https://doi.org/https://doi-org.prox.lib.ncsu.edu/10.1007/s10915-019-00947-w

Chertock, A., Kurganov, A., Lukáčová-Medvid’ová, M., & Nur Özcan, Ș. (2019). An asymptotic preserving scheme for kinetic chemotaxis models in two space dimensions. Kinetic & Related Models, 12(1), 195–216. https://doi.org/10.3934/krm.2019009

Petropavlovsky, S. V., Tsynkov, S. V., & Turkel, E. (2019). A method of boundary equations for unsteady hyperbolic problems in 3D. Mathematics and Its Applications, Book of Abstracts for the International 
             Conference in honor of the 90th birthday of Sergei K. Godunov, 
             Novosibirsk, Russia, August 4-10, 2019, 68. Retrieved from https://stsynkov.math.ncsu.edu/publications/a82e_godunov90.pdf

Petropavlovsky, S. V., Tsynkov, S. V., & Turkel, E. (2019). A high order method of boundary operators for the 3D time-dependent wave equation. Book of Abstracts, The 14th International Conference on Mathematical
             and Numerical Aspects of Wave Propagation, WAVES 2019,
             Vienna University of Technology (TU Wien),
             Vienna, Austria, August 25-30, 2019, 363–365. Retrieved from https://stsynkov.math.ncsu.edu/publications/Unsteady_DPM_waves2019_v6.pdf

Gilman, M., & Tsynkov, S. (2019). Stochastic Models in Coordinate-Delay Synthetic Aperture Radar Imaging. Book of Abstracts, The 14th International Conference on Mathematical
             and Numerical Aspects of Wave Propagation, WAVES 2019,
             Vienna University of Technology (TU Wien), 
             Vienna, Austria, August 25-30, 2019, 330–331. Retrieved from https://stsynkov.math.ncsu.edu/publications/Dispersive_targets_Waves2019_v3_final.pdf

Liu, C., Kelley, C. T., & Jakubikova, E. (2019). Molecular Dynamics Simulations on Relaxed Reduced-Dimensional Potential Energy Surfaces. The Journal of Physical Chemistry A, 123(21), 4543–4554. https://doi.org/10.1021/acs.jpca.9b02298

Bociu, L., Guidoboni, G., Sacco, R., & Verri, M. (2019). On the role of compressibility in poroviscoelastic models. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 16(5), 6167–6208. https://doi.org/10.3934/mbe.2019308

Yu, B., Jing, N., & Li-Jost, X. (2019). Strong unitary uncertainty relations. PHYSICAL REVIEW A, 100(2). https://doi.org/10.1103/PhysRevA.100.022116

Xiao, X., Feng, X., & Li, Z. (2019). A gradient recovery-based adaptive finite element method for convection-diffusion-reaction equations on surfaces. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 120(7), 901–917. https://doi.org/10.1002/nme.6163

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