Search Results - "Burrage, Pamela"

Learning surrogate equations for the analysis of an agent-based cancer model.

Authors: Burrage, Kevin Burrage, Pamela M. Kreikemeyer, Justin N. et al.

Source: Frontiers in Applied Mathematics & Statistics. 2025, p1-13. 13p.

Agent-based modeling for the tumor microenvironment (TME).

Authors: Weerasinghe, Hasitha N. Burrage, Pamela M. Nicolau Jr., Dan V. et al.

Source: Mathematical Biosciences & Engineering. 2024, Vol. 21 Issue 11, p7621-27. 27p.

Using a library of chemical reactions to fit systems of ordinary differential equations to agent-based models: a machine learning approach.

Authors: Burrage, Pamela M. Weerasinghe, Hasitha N. Burrage, Kevin

Source: Numerical Algorithms. Jul2024, Vol. 96 Issue 3, p1063-1077. 15p.

Modelling the flow through ion channels at the cell membrane.

Authors: Jenner, Adrianne L. Burrage, Pamela M.

Source: International Journal of Mathematical Education in Science & Technology. Feb2024, Vol. 55 Issue 2, p388-406. 19p.

Effective numerical methods for simulating diffusion on a spherical surface in three dimensions.

Authors: Burrage, Kevin Burrage, Pamela M. Lythe, Grant

Source: Numerical Algorithms. Dec2022, Vol. 91 Issue 4, p1577-1596. 20p.

A Spectrally Accurate Step-by-Step Method for the Numerical Solution of Fractional Differential Equations.

Authors: Brugnano, Luigi Burrage, Kevin Burrage, Pamela et al.

Source: Journal of Scientific Computing; May2024, Vol. 99 Issue 2, p1-28, 28p

Optimal control of multiple myeloma assuming drug resistance and off-target effects.

Authors: Lefevre, James G. Lawson, Brodie A. J. Burrage, Pamela M. et al.

Source: PLoS Computational Biology. 8/11/2025, Vol. 21 Issue 8, p1-21. 21p.

LOCALIZATION AND PSEUDOSPECTRA OF TWISTED TOEPLITZ MATRICES WITH APPLICATIONS TO ION CHANNELS.

Authors: BURRAGE, KEVIN BURRAGE, PAMELA MACNAMARA, SHEV

Source: SIAM Journal on Matrix Analysis & Applications. 2021, Vol. 42 Issue 4, p1656-1679. 24p.

Subjects: Toeplitz matrices, Ion channels, Pseudospectrum, Sodium channels, Enzyme kinetics, Anderson localization

A class of new Magnus-type methods for semi-linear non-commutative Itô stochastic differential equations.

Authors: Yang, Guoguo Burrage, Kevin Komori, Yoshio et al.

Source: Numerical Algorithms; Dec2021, Vol. 88 Issue 4, p1641-1665, 25p

Structure-preserving Runge-Kutta methods for stochastic Hamiltonian equations with additive noise.

Authors: Burrage, Pamela Burrage, Kevin

Source: Numerical Algorithms. Mar2014, Vol. 65 Issue 3, p519-532. 14p.

Agent-based modelling to study protocognition abilities of the tumour microenvironment (TME).

Authors: Weerasinghe, Hasitha N. Burrage, Pamela M. Adamatzky, Andrew et al.

Source: AIP Conference Proceedings. 2022, Vol. 2425 Issue 1, p1-3. 3p.

A stochastic model of jaguar abundance in the Peruvian Amazon under climate variation scenarios.

Authors: Burrage, Kevin Burrage, Pamela Davis, Jacqueline et al.

Source: Ecology & Evolution (20457758). Oct2020, Vol. 10 Issue 19, p10829-10850. 22p.

Subject Terms: *Climate change, Jaguar, Stochastic models, Prey availability, Predation

Geographic Terms: South America

Modelling optimal delivery of bFGF to chronic wounds using ODEs.

Authors: Thew, Johnny Burrage, Pamela Medlicott, Natalie et al.

Source: Journal of Theoretical Biology. Mar2019, Vol. 465, p109-116. 8p.

Subjects: Fibroblast growth factors, Chronic wounds & injuries, Ordinary differential equations, Drug delivery systems, Binding agents

Using population of models to investigate and quantify gas production in a spatially heterogeneous coal seam gas field.

Authors: Psaltis, Steven Farrell, Troy Burrage, Kevin et al.

Source: Applied Mathematical Modelling; Sep2017, Vol. 49, p338-353, 16p

Probabilistic mathematical modelling to predict the red cell phenotyped donor panel size.

Authors: Best, Denisse Burrage, Kevin Burrage, Pamela et al.

Source: PLoS ONE. 11/11/2022, Vol. 17 Issue 11, p1-15. 15p.

Low rank Runge–Kutta methods, symplecticity and stochastic Hamiltonian problems with additive noise

Authors: Burrage, Kevin Burrage, Pamela M.

Source: Journal of Computational & Applied Mathematics. Oct2012, Vol. 236 Issue 16, p3920-3930. 11p.

Subjects: Runge-Kutta formulas, Stochastic analysis, Hamiltonian systems, Performance evaluation, Numerical analysis, Mathematical analysis

Mathematical modelling of gas production and compositional shift of a CSG (coal seam gas) field: Local model development.

Authors: Psaltis, Steven Farrell, Troy Burrage, Kevin et al.

Source: Energy; Aug2015, Vol. 88, p621-635, 15p

Magnus methods for stochastic delay-differential equations.

Authors: Griggs, Mitchell Burrage, Kevin Burrage, Pamela

Source: AIP Conference Proceedings. 2024, Vol. 3094 Issue 1, p1-4. 4p.

Stochastic delay differential equations for genetic regulatory networks

Authors: Tian, Tianhai Burrage, Kevin Burrage, Pamela M. et al.

Source: Journal of Computational & Applied Mathematics; Aug2007, Vol. 205 Issue 2, p696-707, 12p

On the Analysis of Mixed-Index Time Fractional Differential Equation Systems.

Authors: Burrage, Kevin Burrage, Pamela Turner, Ian et al.

Source: Axioms (2075-1680). Jun2018, Vol. 7 Issue 2, p25. 1p.