Photo of Kristian Debrabant

View Scopus Profile

Kristian Debrabant

Dr.rer.nat.

  • Campusvej 55

    5230 Odense M

    Denmark

20022019
If you made any changes in Pure these will be visible here soon.

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.

  • 2 Similar Profiles
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
Runge-Kutta Methods Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

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

87 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

Interpolation
Singular value decomposition
Finance
Computer systems
Computer simulation
6 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

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
20 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