Browse By Person: Burrage, Pamela
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Number of items: 19.
1996
Burrage, Kevin & Burrage, Pamela (1996) High strong order explicit Runge-Kutta methods for stochastic ordinary differential equations. Applied Numerical Mathematics, 22(1-3), pp. 81-101.
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75 761997
Burrage, Kevin, Burrage, Pamela, & Belward, John (1997) A bound on the maximum strong order of stochastic Runge-Kutta methods for stochastic ordinary differential equations. BIT Numerical Mathematics, 37(4), pp. 771-780.
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11 111998
Burrage, Kevin & Burrage, Pamela (1998) General order conditions for stochastic Runge-Kutta methods for both commuting and non-commuting stochastic ordinary differential equation systems. Applied Numerical Mathematics, 28, pp. 161-177.
21 25
21 251999
Burrage, Kevin & Burrage, Pamela (1999) High strong order methods for non-commutative stochastic ordinary differential equation systems and the Magnus formula. Physica D Nonlinear Phenomena, 133(1 Apr), pp. 34-48.
15 18
15 182000
Burrage, Pamela, Burrage, Kevin, & Mitsui, Takemitsui (2000) Numerical solutions of stochastic differential equations – implementation and stability issues. Journal of Computational and Applied Mathematics, 125(1 Feb), pp. 171-182.
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39 32Burrage, Kevin, Burrage, Pamela, & Brugnano, L (2000) Adams-Type Methods for the Numerical Solution of Stochastic Ordinary Differential Equations. Bit (Lisse), 40(3), pp. 451-470.
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18 16Burrage, Kevin & Burrage, Pamela (2000) Order conditions of stochastic Runge-Kutta methods by B-series. SIAM Journal on Numerical Analysis, 38(5), pp. 1626-1646.
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49 512003
Burrage, Pamela & Burrage, Kevin (2003) A variable stepsize implementation for stochastic differential equations. SIAM Journal on Scientific Computing (SISC), 24(3), pp. 848-864.
19 24
19 242004
Burrage, P., Herdiana, R, & Burrage, K. (2004) Adaptive stepsize based on control theory for stochastic differential equations. Journal of Computational and Applied Mathematics, 170(2), pp. 317-336.
12 12
12 12Burrage, Kevin, Burrage, Pamela, & Tian, Tianhai (2004) Numerical methods for strong solutions of stochastic differential equations : an overview. Royal Society of London. Proceedings A. Mathematical, Physical and Engineering Sciences, 460(2041), pp. 373-402.
50 46
50 46Carletti, Margherita, Burrage, Kevin, & Burrage, Pamela (2004) Numerical simulation of stochastic ordinary differential equations in biomathematical modelling. Mathematics and Computers in Simulation, 64(2), pp. 271-277.
19 18
19 18Burrage, Kevin, Tian, Tianhai, & Burrage, Pamela (2004) A multi-scaled approach for simulating chemical reaction systems. Progress in Biophysics & Molecular Biology, 85(2-3), pp. 217-234.
195 56
195 562006
Burrage, Kevin, Burrage, Pamela, Hamilton, N., & Tian, Tianhai (2006) Computer-intensive simulations for cellular models. In Zomaya, Albert Y. (Ed.) Parallel Computing for Bioinformatics and Computational Biology: Models, Enabling Technologies, and Case Studies. John Wiley & Sons, New Jersey, United States, pp. 79-119.
Burrage, Kevin, Burrage, Pamela, Higham, Desmond, Kloeden, Peter, & Platen, Eckhard (2006) Comment on 'Numerical methods for stochastic differential equations'. Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), 74(6), pp. 1-2.
4 5
4 52007
Tian, Tianhai, Burrage, Kevin, Burrage, Pamela, & Carletti, Margherita (2007) Stochastic delay differential equations for genetic regulatory networks. Journal of Computational and Applied Mathematics, 205(2), pp. 696-707.
56 46
56 462008
Leier, Andre, Marquez-Lago, Tatiana, Burrage, Kevin, & Burrage, Pamela (2008) Modeling intrinsic noise and delays in chemical kinetics of coupled autoregulated oscillating cells. International Journal for Multiscale Computational Engineering, 6(1), pp. 77-86.
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1 12010
Barrio, Manuel, Burrage, Kevin, Burrage, Pamela, Leier, Andre, & Marquez-Lago, Tatiana (2010) Computational approaches for modelling intrinsic noise and delays in genetic regulatory networks. In Das, Sanjoy, Caragea, Doina, Welch, Stephen, & Hsu, William H. (Eds.) Handbook of Research on Computational Methodologies in Gene Regulatory Networks. IGI Global, Hershey PA, pp. 169-197.
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632011
Burrage, Kevin, Burrage, Pamela, Leier, Andre, Marquez-Lago, Tatiana, & Nicolau Jr., Dan (2011) Stochastic simulation for spatial modelling of dynamic process in a living cell. In Koeppl, H., Densmore, D., Setti, G., & di Bernardo, M. (Eds.) Design and Analysis of Biomolecular Circuits: Engineering Approaches to Systems and Synthetic Biology. Springer Science+Business Media, pp. 43-62.
2012
Burrage, Kevin & Burrage, Pamela (2012) Low rank Runge-Kutta methods, symplecticity and stochastic Hamiltonian problems with additive noise. Journal of Computational and Applied Mathematics, 236(16), pp. 3920-3930.
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