arXiv (All)
open access
On the Computational Complexity of Problems: Formalizing Sensitivity to Uncertainty and Parametric Complexity Classes
Is the classical question $P \stackrel{?}{=} NP$ the right one for understanding the complexity of real-world computation? Traditional worst-case analysis characterizes complexity solely as a function of input size $n$. Yet tasks whose cost is exponential in general often run in polynomial or even l
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
- The Preservation of Mystery: How Academic Incentives Prioritize Infinite Complexity Over Operational Utility#693018
- For which problems in P is it easier to verify the result than to find it?#787574
- Why polynomial time is called "efficient"?#796598
- An Exploratory Framework for Understanding Complexity Management#88858
- Complessità e Riduzionismo#731425
Record · ID 1201398
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