Learn Before
Concept

Anytime Algorithms

Anytime algorithms are algorithms that can be interrupted at any point during execution and return a valid, usable answer, with the quality of the answer improving monotonically as more computation time is given. They expose an explicit tradeoff between solution quality and computation time, characterized by a performance profile that maps elapsed computation (or other resource budget) to expected solution quality. Anytime algorithms are designed for settings where the available computation time is limited, uncertain, or competing with other tasks, so that a system can act on the currently available solution whenever deliberation must stop. Meta-level control of an anytime algorithm decides when to stop computation based on the performance profile, the cost of further computation, and the cost of monitoring progress.

0

1

Updated 2026-05-18

Contributors are:

Who are from:

Tags

Science

Auditable Strict-Parity Evaluation of Prerequisite-Graph Retrieval for RAG under Leakage Controls

Related