Conceptcore
Asymptotic optimality
Also called optimal up to constant factors.
An algorithm is asymptotically optimal when its running time matches a lower bound up to constant factors.
An algorithm is asymptotically optimal when its running time matches a lower bound up to constant factors.
About this page
The build computes these levels from the evidence in the repository. Each row says what the next level needs. Read what the levels mean.
| Ladder | Level | What the next level needs |
|---|---|---|
| Human proof | H0 no proof |
|
| Lean | L0 no Lean part |
|
| Visual | V0 none |
|
| Writing | W0 stub |
|
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