pamela burrage
pamela burrage
Verifierad e-postadress på qut.edu.au
TitelCiteras avÅr
High strong order explicit Runge-Kutta methods for stochastic ordinary differential equations
K Burrage, PM Burrage
Applied Numerical Mathematics 22 (1-3), 81-101, 1996
2121996
Numerical methods for strong solutions of stochastic differential equations: an overview
K Burrage, PM Burrage, T Tian
Proceedings of the Royal Society of London. Series A: Mathematical, Physical …, 2004
1802004
Stochastic delay differential equations for genetic regulatory networks
T Tian, K Burrage, PM Burrage, M Carletti
Journal of Computational and Applied Mathematics 205 (2), 696-707, 2007
1512007
Order Conditions of Stochastic Runge--Kutta Methods by B-Series
K Burrage, PM Burrage
SIAM Journal on Numerical Analysis 38 (5), 1626-1646, 2000
1512000
A multi-scaled approach for simulating chemical reaction systems
K Burrage, T Tian, P Burrage
Progress in biophysics and molecular biology 85 (2-3), 217-234, 2004
1422004
Runge-Kutta methods for stochastic differential equations
PM Burrage
1381999
Numerical solutions of stochastic differential equations–implementation and stability issues
K Burrage, P Burrage, T Mitsui
Journal of computational and applied mathematics 125 (1-2), 171-182, 2000
1172000
A variable stepsize implementation for stochastic differential equations
PM Burrage, K Burrage
SIAM Journal on Scientific Computing 24 (3), 848-864, 2003
702003
General order conditions for stochastic Runge-Kutta methods for both commuting and non-commuting stochastic ordinary differential equation systems
K Burrage, PM Burrage
Applied Numerical Mathematics 28 (2-4), 161-177, 1998
701998
Determination of somatic and cancer stem cell self-renewing symmetric division rate using sphere assays
LP Deleyrolle, G Ericksson, BJ Morrison, JA Lopez, K Burrage, P Burrage, ...
PloS one 6 (1), e15844, 2011
622011
Numerical simulation of stochastic ordinary differential equations in biomathematical modelling
M Carletti, K Burrage, PM Burrage
Mathematics and Computers in Simulation 64 (2), 271-277, 2004
622004
High strong order methods for non-commutative stochastic ordinary differential equation systems and the Magnus formula
K Burrage, PM Burrage
Physica D: Nonlinear Phenomena 133 (1-4), 34-48, 1999
501999
Adaptive stepsize based on control theory for stochastic differential equations
PM Burrage, R Herdiana, K Burrage
Journal of Computational and Applied Mathematics 170 (2), 317-336, 2004
442004
Stochastic simulation for spatial modelling of dynamic processes in a living cell
K Burrage, PM Burrage, A Leier, T Marquez-Lago, DV Nicolau
Design and Analysis of Biomolecular Circuits, 43-62, 2011
352011
Adams-type methods for the numerical solution of stochastic ordinary differential equations
L Brugnano, K Burrage, PM Burrage
BIT Numerical Mathematics 40 (3), 451-470, 2000
352000
Low rank Runge–Kutta methods, symplecticity and stochastic Hamiltonian problems with additive noise
K Burrage, PM Burrage
Journal of Computational and Applied Mathematics 236 (16), 3920-3930, 2012
322012
Comment on “Numerical methods for stochastic differential equations”
K Burrage, P Burrage, DJ Higham, PE Kloeden, E Platen
Physical Review E 74 (6), 068701, 2006
302006
A bound on the maximum strong order of stochastic Runge-Kutta methods for stochastic ordinary differential equations
K Burrage, PM Burrage, JA Belward
BIT Numerical Mathematics 37 (4), 771-780, 1997
231997
Design and analysis of biomolecular circuits: engineering approaches to systems and synthetic biology
H Hoeppl
Springer Science+ Business Media, 2011
222011
Populations of models, experimental designs and coverage of parameter space by Latin hypercube and orthogonal sampling
K Burrage, P Burrage, D Donovan, B Thompson
arXiv preprint arXiv:1502.06559, 2015
192015
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Artiklar 1–20