Stack Exchange
open access
CC BY-SA
Why polynomial time is called "efficient"?
Why in computer science any complexity which is at most polynomial is considered efficient? For any practical application (a), algorithms with complexity $n^{\log n}$ are way faster than algorithms that run in time, say, $n^{80}$, but the first is considered inefficient while the latter is efficient. Where's the logic?! (a) Assume, for instance, the number of atoms in the universe is approximately $10^{80}$.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Complessità e Riduzionismo#731425
- Better Late Than Never: Online Flow Time Scheduling with Online Estimates#984328
- Unequal sample sizes and the use of larger control groups pertaining to power of a study#102677
- Philosophers should prefer simpler theories#702853
- How Model Growth, Recursion, and Boundary Operators Influence Scaling Exponents#1014887
Record · ID 796598
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive