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Kristian Debrabant

Dr.rer.nat.

  • Campusvej 55

    5230 Odense M

    Denmark

20022019
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Personal profile

Research areas

  • Numeric analysis
  • Stochastic models
  • Numerical methods and simulation
  • Mathematic modelling
  • Scientific Computing

Fingerprint Dive into the research topics where Kristian Debrabant is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Order Conditions Mathematics
B-series Mathematics
Stochastic Equations Mathematics
Differential equation Mathematics
Differential equations Engineering & Materials Science
Runge Kutta methods Engineering & Materials Science
Exponential Integrators Mathematics
Fully Nonlinear Equations Mathematics

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Research Output 2002 2019

Analysis of multilevel Monte Carlo path simulation using the Milstein discretisation

Giles, M., Debrabant, K. & Rößler, A., 2019, In : Discrete and Continuous Dynamical Systems. Series B. 24, 8, p. 3881-3903

Research output: Contribution to journal › Journal article › Research › peer-review

Operations research
Strong Convergence
Computational complexity
Euler-Maruyama Method
Discretization
97 Downloads (Pure)

Parametric model reduction via interpolating orthonormal bases

Zimmermann, R. & Debrabant, K., 5. Jan 2019, Numerical Mathematics and Advanced Applications: ENUMATH 2017. Radu, F. A., Kumar, K., Berre, I., Nordbotten, J. M. & Pop, I. S. (eds.). Springer, p. 683-691 (Lecture Notes in Computational Science and Engineering, Vol. 126).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Open Access
File
Interpolation
Singular value decomposition
Finance
Computer systems
Computer simulation
12 Downloads (Pure)

Stochastic B-series and order conditions for exponential integrators

Arara, A. A., Debrabant, K. & Kværnø, A., 5. Jan 2019, Numerical Mathematics and Advanced Applications: ENUMATH 2017. Radu, F. A., Kumar, K., Berre, I., Nordbotten, J. M. & Pop, I. S. (eds.). Springer, p. 419-427 (Lecture Notes in Computational Science and Engineering, Vol. 126).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

File
Exponential Integrators
B-series
Order Conditions
Runge-Kutta
Rooted Trees
42 Downloads (Pure)

Weak antithetic MLMC estimation of SDEs with the Milstein scheme for low-dimensional Wiener processes

Debrabant, K., Ghasemifard, A. & Mattsson, N. C., May 2019, In : Applied Mathematics Letters. 91, p. 22-27 6 p.

Research output: Contribution to journal › Journal article › Research › peer-review

Wiener Process
Stochastic Equations
Differential equations
Differential equation
Approximation Methods
45 Downloads (Pure)

Carbon oxidation and bioirrigation in sediments along a Skagerrak−Kattegat−Belt Sea depth transect

Kristensen, E., Røy, H., Debrabant, K. & Valdemarsen, T., Oct 2018, In : Marine Ecology Progress Series. 604, p. 33-50

Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
File
transect
oxidation
sediments
carbon
shallow water