2016

S. Widgren, S. Engblom, P. Bauer, J. Frössling, U. Emanuelson, and A. Lindberg: Data-driven network modelling of disease transmission using complete population movement data: spread of VTEC O157 in Swedish cattle

• In Veterinary Res. 47:81(1):1–17, (2016). (doi).
• DiVA record.

S. Engblom, D. Lukarski: Fast Matlab compatible sparse assembly on multicore computers

• In Parallel Comput. 56:1–17 (2016) (doi).
• Preprint via arXiv.
• DiVA record.

E. Blanc, S. Engblom, A. Hellander, P. Lötstedt: Mesoscopic modeling of stochastic reaction-diffusion kinetics in the subdiffusive regime

• In Multiscale Model. Simul. 14(2):668–707 (2016): (doi).
• Preprint via arXiv.
• DiVA record.

P. Bauer, S. Engblom, S. Widgren: Fast event-based epidemiological simulations on national scales

• In Int. J. High Perf. Comput. Appl. 30(4):438–453 (2016): (doi).
• Preprint via arXiv.
• DiVA record.

L. Meinecke, S. Engblom, A. Hellander, and P. Lötstedt: Analysis and design of jump coefficients in discrete stochastic diffusion models

• In SIAM J. Sci. Comput. 38(1):A55–A83 (2016): (doi).
• Preprint via arXiv.
• DiVA record.

S. Engblom and V. Sunkara: Preconditioned Metropolis sampling as a strategy to improve efficiency in posterior exploration

• In IFAC-PapersOnLine 49(26):89–94 (2016): (doi).
• DiVA record.

J. Bull, S. Engblom, and S. Holmgren: A direct solver for the advection-diffusion equation using Green’s functions and low-rank approximation

• In proceedings of the 7th ECCOMAS Congress, European Community on Computional Methods in Applied Sciences (ECCOMAS 2016): (direct link).
• DiVA record.