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- Q331716 subject Q8250013.
- Q331716 subject Q8268992.
- Q331716 abstract "In computer science, amortized analysis is a method for analyzing a given algorithm's time complexity, or how much of a resource, especially time or memory in the context of computer programs, it takes to execute. The motivation for amortized analysis is that looking at the worst-case run time per operation can be too pessimistic.While certain operations for a given algorithm may have a significant cost in resources, other operations may not be as costly. Amortized analysis considers both the costly and less costly operations together over the whole series of operations of the algorithm. This may include accounting for different types of input, length of the input, and other factors that affect its performance.".
- Q331716 wikiPageExternalLink book.html.
- Q331716 wikiPageWikiLink Q1077724.
- Q331716 wikiPageWikiLink Q128555.
- Q331716 wikiPageWikiLink Q175263.
- Q331716 wikiPageWikiLink Q1784922.
- Q331716 wikiPageWikiLink Q21198.
- Q331716 wikiPageWikiLink Q2393193.
- Q331716 wikiPageWikiLink Q269878.
- Q331716 wikiPageWikiLink Q333464.
- Q331716 wikiPageWikiLink Q339466.
- Q331716 wikiPageWikiLink Q380172.
- Q331716 wikiPageWikiLink Q4730486.
- Q331716 wikiPageWikiLink Q515636.
- Q331716 wikiPageWikiLink Q599031.
- Q331716 wikiPageWikiLink Q786431.
- Q331716 wikiPageWikiLink Q8250013.
- Q331716 wikiPageWikiLink Q8268992.
- Q331716 wikiPageWikiLink Q893290.
- Q331716 wikiPageWikiLink Q92638.
- Q331716 comment "In computer science, amortized analysis is a method for analyzing a given algorithm's time complexity, or how much of a resource, especially time or memory in the context of computer programs, it takes to execute. The motivation for amortized analysis is that looking at the worst-case run time per operation can be too pessimistic.While certain operations for a given algorithm may have a significant cost in resources, other operations may not be as costly.".
- Q331716 label "Amortized analysis".