Information Theory and its applications in Combinatorics and Computation
APA
(2025). Information Theory and its applications in Combinatorics and Computation. SciVideos. https://scivideos.org/icts-tifr/32731
MLA
Information Theory and its applications in Combinatorics and Computation. SciVideos, Sep. 07, 2025, https://scivideos.org/icts-tifr/32731
BibTex
@misc{ scivideos_ICTS:32731, doi = {}, url = {https://scivideos.org/icts-tifr/32731}, author = {}, keywords = {}, language = {en}, title = {Information Theory and its applications in Combinatorics and Computation}, publisher = {}, year = {2025}, month = {sep}, note = {ICTS:32731 see, \url{https://scivideos.org/icts-tifr/32731}} }
Jaikumar Radhakrishnan
Talk numberICTS:32731
Source RepositoryICTS-TIFR
Abstract
Shannon entropy
We will review the problem of information compression and show the role that entropy of a probability distribution plays in it. We will analyse compression in the one-shot and the iid settings, leading up to Shannon’s source-coding theorem.
Key concepts: Prefix-free encoding, typical sequences, rate of a code.