Brynjulf Owren

According to our database1, Brynjulf Owren authored at least 17 papers between 1992 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

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Bibliography

2018
Adaptive energy preserving methods for partial differential equations.
Adv. Comput. Math., 2018

2016
Geometric integration of non-autonomous linear Hamiltonian problems.
Adv. Comput. Math., 2016

2014
The minimal stage, energy preserving Runge-Kutta method for polynomial Hamiltonian systems is the averaged vector field method.
Math. Comput., 2014

An introduction to Lie group integrators - basics, new developments and applications.
J. Comput. Physics, 2014

2012
Preserving energy resp. dissipation in numerical PDEs using the "Average Vector Field" method.
J. Comput. Physics, 2012

2011
A General Framework for Deriving Integral Preserving Numerical Methods for PDEs.
SIAM J. Scientific Computing, 2011

2010
Energy-Preserving Integrators and the Structure of B-series.
Foundations of Computational Mathematics, 2010

2008
Multi-symplectic integration of the Camassa-Holm equation.
J. Comput. Physics, 2008

Symmetric Exponential Integrators with an Application to the Cubic Schrödinger Equation.
Foundations of Computational Mathematics, 2008

2005
B-series and Order Conditions for Exponential Integrators.
SIAM J. Numerical Analysis, 2005

2003
On the Implementation of Lie Group Methods on the Stiefel Manifold.
Numerical Algorithms, 2003

Commutator-free Lie group methods.
Future Generation Comp. Syst., 2003

2002
A Class of Intrinsic Schemes for Orthogonal Integration.
SIAM J. Numerical Analysis, 2002

2001
Integration methods based on canonical coordinates of the second kind.
Numerische Mathematik, 2001

2000
Construction of Runge-Kutta methods of Crouch-Grossman type of high order.
Adv. Comput. Math., 2000

1998
Stiffness Detection and Estimation of Dominant Spectrum with Explicit Runge-Kutta Methods.
ACM Trans. Math. Softw., 1998

1992
Derivation of Efficient, Continuous, Explicit Runge-Kutta Methods.
SIAM J. Scientific Computing, 1992


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