Æȷοì
Eric Severson
Eric Severson
ucdavis.eduÀÇ À̸ÞÀÏ È®ÀÎµÊ - ȨÆäÀÌÁö
Á¦¸ñ
Àοë
Àοë
¿¬µµ
A time and space optimal stable population protocol solving exact majority
D Doty, M Eftekhari, L Gąsieniec, E Severson, P Uznański, G Stachowiak
2021 IEEE 62nd annual symposium on foundations of computer science (FOCS ¡¦, 2022
322022
Time-optimal self-stabilizing leader election in population protocols
J Burman, HL Chen, HP Chen, D Doty, T Nowak, E Severson, C Xu
Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing ¡¦, 2021
252021
Composable computation in discrete chemical reaction networks
EE Severson, D Haley, D Doty
Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing ¡¦, 2019
212019
Efficient self-stabilizing leader election in population protocols
J Burman, D Doty, T Nowak, EE Severson, C Xu
arXiv preprint arXiv:1907.06068, 2019
112019
Message complexity of population protocols
T Amir, J Aspnes, D Doty, M Eftekhari, E Severson
arXiv preprint arXiv:2003.09532, 2020
102020
Ppsim: A software package for efficiently simulating and visualizing population protocols
D Doty, E Severson
Computational Methods in Systems Biology: 19th International Conference ¡¦, 2021
62021
Brief announcement: A time and space optimal stable population protocol solving exact majority
D Doty, M Eftekhari, L Gąsieniec, E Severson, G Stachowiak, P Uznański
Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing ¡¦, 2021
22021
A stable majority population protocol using logarithmic time and states
D Doty, M Eftekhari, E Severson
arXiv preprint arXiv:2012.15800, 2020
22020
Advances in Discrete Chemical Computation: Algorithms, Lower Bounds, and Software for Population Protocols
EE Severson
University of California, Davis, 2021
2021
Brief announcement: A stable majority population protocol using logarithmic time and states
D Doty, M Eftekhari, L Gąsieniec, E Severson, G Stachowiak, P Uznański
reactions 1 (2𝑖), 0ℎ, 2021
2021
Evolving Cellular Automata NCASO Final Project
E Severson
ÇöÀç ½Ã½ºÅÛÀÌ ÀÛµ¿µÇÁö ¾Ê½À´Ï´Ù. ³ªÁß¿¡ ´Ù½Ã ½ÃµµÇØ ÁÖ¼¼¿ä.
ÇмúÀÚ·á 1–11