Works matching AU Oden, J. Tinsley
Results: 26
Analysis and numerical solution of stochastic phase-field models of tumor growth.
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- Numerical Methods for Partial Differential Equations, 2015, v. 31, n. 2, p. 552, doi. 10.1002/num.21934
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Goal-oriented error estimation for Cahn-Hilliard models of binary phase transition.
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- Numerical Methods for Partial Differential Equations, 2011, v. 27, n. 1, p. 160, doi. 10.1002/num.20638
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Letter to the editor.
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- International Journal for Numerical Methods in Engineering, 1975, v. 9, n. 3, p. 731, doi. 10.1002/nme.1620090320
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Local and nonlocal phase-field models of tumor growth and invasion due to ECM degradation.
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- Mathematical Models & Methods in Applied Sciences, 2019, v. 29, n. 13, p. 2433, doi. 10.1142/S0218202519500519
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On the unsteady Darcy–Forchheimer–Brinkman equation in local and nonlocal tumor growth models.
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- Mathematical Models & Methods in Applied Sciences, 2019, v. 29, n. 9, p. 1691, doi. 10.1142/S0218202519500325
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Adaptive multiscale predictive modelling.
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- Acta Numerica, 2018, v. 27, p. 353, doi. 10.1017/S096249291800003X
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Bayesian-based predictions of COVID-19 evolution in Texas using multispecies mixture-theoretic continuum models.
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- Computational Mechanics, 2020, v. 66, n. 5, p. 1055, doi. 10.1007/s00466-020-01889-z
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An adaptive-order discontinuous Galerkin method for the solution of the Euler equations of gas dynamics.
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- International Journal for Numerical Methods in Engineering, 2000, v. 47, n. 1-3, p. 61, doi. 10.1002/(SICI)1097-0207(20000110/30)47:1/3<61::AID-NME761>3.0.CO;2-D
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hp-version discontinuous Galerkin methods for hyperbolic conservation laws: A parallel adaptive strategy.
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- International Journal for Numerical Methods in Engineering, 1995, v. 38, n. 22, p. 3889, doi. 10.1002/nme.1620382209
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Preface.
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- International Journal for Numerical Methods in Engineering, 1992, v. 34, n. 1, p. 1, doi. 10.1002/nme.1620340102
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- Article
H-p clouds-an h-p meshless method.
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- Numerical Methods for Partial Differential Equations, 1996, v. 12, n. 6, p. 673, doi. 10.1002/(SICI)1098-2426(199611)12:6<673::AID-NUM3>3.0.CO;2-P
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Local a posteriori error estimators for variational inequalities.
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- Numerical Methods for Partial Differential Equations, 1993, v. 9, n. 1, p. 23, doi. 10.1002/num.1690090104
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On the accuracy and convergence of conjugate flux approximations.
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- Numerical Methods for Partial Differential Equations, 1989, v. 5, n. 2, p. 143, doi. 10.1002/num.1690050208
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- Article
Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data.
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- Cancers, 2021, v. 13, n. 12, p. 3008, doi. 10.3390/cancers13123008
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Mutual-information based optimal experimental design for hyperpolarized 13C-pyruvate MRI.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-44958-y
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- Article
Numerical simulation of a thermodynamically consistent four-species tumor growth model.
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- International Journal for Numerical Methods in Biomedical Engineering, 2012, v. 28, n. 1, p. 3, doi. 10.1002/cnm.1467
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A phase-field model for non-small cell lung cancer under the effects of immunotherapy.
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- Mathematical Biosciences & Engineering, 2023, v. 20, n. 10, p. 18670, doi. 10.3934/mbe.2023828
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A discontinuous hp finite element method for the Euler and Navier-Stokes equations.
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- International Journal for Numerical Methods in Fluids, 1999, v. 31, n. 1, p. 79, doi. 10.1002/(SICI)1097-0363(19990915)31:1<79::AID-FLD956>3.0.CO;2-C
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Local and pollution error estimation for Stokesian flows.
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- International Journal for Numerical Methods in Fluids, 1998, v. 27, n. 1-4, p. 33, doi. 10.1002/(SICI)1097-0363(199801)27:1/4<33::AID-FLD648>3.0.CO;2-3
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An hp adaptive strategy for finite element approximations of the Navier-Stokes equations.
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- International Journal for Numerical Methods in Fluids, 1995, v. 20, n. 8/9, p. 831, doi. 10.1002/fld.1650200810
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- Article
SELECTION AND ASSESSMENT OF PHENOMENOLOGICAL MODELS OF TUMOR GROWTH.
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- Mathematical Models & Methods in Applied Sciences, 2013, v. 23, n. 7, p. 1309, doi. 10.1142/S0218202513500103
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GENERAL DIFFUSE-INTERFACE THEORIES AND AN APPROACH TO PREDICTIVE TUMOR GROWTH MODELING.
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- Mathematical Models & Methods in Applied Sciences, 2010, v. 20, n. 3, p. 477, doi. 10.1142/S0218202510004313
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Error Estimation of Eigenfrequencies for Elasticity and Shell Problems.
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- Mathematical Models & Methods in Applied Sciences, 2003, v. 13, n. 3, p. 323, doi. 10.1142/S0218202503002520
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Control of modeling error in calibration and validation processes for predictive stochastic models.
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- International Journal for Numerical Methods in Engineering, 2011, v. 87, n. 1-5, p. 262, doi. 10.1002/nme.3038
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Practical methods for a posteriori error estimation in engineering applications.
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- International Journal for Numerical Methods in Engineering, 2003, v. 56, n. 8, p. 1193, doi. 10.1002/nme.609
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Bayesian calibration, validation, and uncertainty quantification of diffuse interface models of tumor growth.
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- Journal of Mathematical Biology, 2013, v. 67, n. 6/7, p. 1457, doi. 10.1007/s00285-012-0595-9
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- Article