Given a metric space , the metric entropy is where is the -covering number of ; see covering and packing.
Metric entropy is a measure of the complexity of the set . Typically diverges as , and we are interested in the rate at which it goes to zero.
Modified Sep 02, 20241 min read
Given a metric space (X,ρ), the metric entropy is logN(δ;X,ρ) where N(δ;X,ρ) is the δ-covering number of (X,ρ); see covering and packing.
Metric entropy is a measure of the complexity of the set X. Typically N(δ) diverges as δ→0, and we are interested in the rate at which it goes to zero.
May 26, 2026
May 26, 2026
May 26, 2026
May 26, 2026
May 26, 2026
May 26, 2026
May 26, 2026