Kolmogorovovská složitost a Shannonova informace
Thesis title in Czech: | Kolmogorovovská složitost a Shannonova informace |
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Thesis title in English: | Kolmogorov complexity and Shannon information |
Key words: | Kolmogorovovská složitost, Shannonova informace, entropie |
English key words: | Kolmogorov complexity, Shannon information, entropy |
Academic year of topic announcement: | 2018/2019 |
Thesis type: | Bachelor's thesis |
Thesis language: | čeština |
Department: | Computer Science Institute of Charles University (32-IUUK) |
Supervisor: | prof. Mgr. Michal Koucký, Ph.D. |
Author: | hidden![]() |
Date of registration: | 26.04.2019 |
Date of assignment: | 07.05.2019 |
Confirmed by Study dept. on: | 13.05.2019 |
Date and time of defence: | 29.06.2020 10:00 |
Date of electronic submission: | 04.06.2020 |
Date of submission of printed version: | 04.06.2020 |
Date of proceeded defence: | 29.06.2020 |
Opponents: | doc. Mgr. Robert Šámal, Ph.D. |
Guidelines |
Student se seznámí s Kolmogorovskou složitostí a Shannonovou teorií informace a prozkmoumá jejich vzájemnou souvislost s ohledem
na podobnosti a odlišnosti. |
References |
T.M. Cover, J.A. Thomas, Elements of Information Theory. John Wiley & Sons, 2nd edition, 2006.
Ming Li, P.M.B. Vitányi, An Introduction to Kolmogorov Complexity and Its Applications. Springer, 3rd edition, 2008. |