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In computer science and operations research, approximation algorithms are efficient algorithms that find approximate solutions to optimization problems (in particular NP-hard problems) with provable guarantees on the distance of the returned solution to the optimal one. Approximation algorithms naturally arise in the field of theoretical computer science…
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approximation algorithms algorithm problem one guarantee problems solution example ratio optimal solutions displaystyle optimization time performance factor approximate techniques design
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| annealing or genetic algorithms | instance of | This distinguishes them from heuristics | 0.80 | text |
| which find reasonably good solutions on some inputs | instance of | This distinguishes them from heuristics | 0.80 | text |
| but provide no clear indication at the outset on when they may succeed or fail.There is widespread interest in theoretical computer science to better understand the limits to which we can approximate certain famous optimization problems | instance of | This distinguishes them from heuristics | 0.80 | text |
| the P | instance of | conditioned on widely believed hypotheses | 0.80 | text |
| Approximation algorithm | related to A posteriori guarantees | While | 0.60 | section |
| Approximation algorithm | related to A posteriori guarantees | This | 0.60 | section |
| Approximation algorithm | related to A posteriori guarantees | For | 0.60 | section |
| Approximation algorithm | related to A posteriori guarantees | Since | 0.60 | section |
| Approximation algorithm | related to A posteriori guarantees | LP | 0.60 | section |
| Approximation algorithm | related to Algorithm design techniques | By | 0.60 | section |
| Approximation algorithm | related to Algorithm design techniques | These | 0.60 | section |
| Approximation algorithm | related to Algorithm design techniques | Greedy | 0.60 | section |
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