2015

A. Milias-Argeitis, S. Engblom, P. Bauer, M. Khammash: Stochastic focusing coupled with negative feedback enables robust regulation in biochemical reaction networks

• In J. R. Soc. Interface 12(113):1–10 (2015): (doi).
• Preprint via arXiv.
• DiVA record.

S. Engblom: Strong convergence for split-step methods in stochastic jump kinetics

• In SIAM J. Numer. Anal. 53(6):2655–2676 (2015): (doi)
• DiVA record.
• Review: MR3432851.
• Preprint via arXiv.

T. Ekeberg, S. Engblom, J. Liu: Machine learning for ultrafast X-ray diffraction patterns on large-scale GPU clusters

• In Int. J. High Perf. Comput. Appl. 29(2):233–243 (2015): (doi)
• Available via arXiv.
• DiVA record.

P. Bauer, J. Lindén, S. Engblom, B. Jonsson: Efficient interprocess synchronization for parallel discrete event simulation on multicores

• In Proceedings of the 3rd ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, SIGSIM PADS ‘15, pages 183–194, (2015): (doi).
• DiVA record.

P. Bauer, S. Engblom: Sensitivity estimation and inverse problems in spatial stochastic models of chemical kinetics

• In Numerical Mathematics and Advanced Applications: ENUMATH 2013, Lecture Notes in Computational Science and Engineering 103, 519–527 (2015): (doi).
• DiVA record.