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Computational complexity

In computer science, the computational complexity or simply complexity of an algorithm is the amount of resources required to run it. Particular focus is given to computation time (generally measured by the number of needed elementary operations) and memory storage requirements. The complexity of a problem is the complexity of the best algorithms that…

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Asymptotic complexity

Models of computation

Problem complexity

Use in algorithm design

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Computational complexity

Nodes86
Edges85
Triples47
Avg. degree1.98
Density0.023256
Components1

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Computational complexity

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related to References · 45
Computational complexity → Addison Wesley, Arora, Barak, Boaz, Books, Cambridge, Cambridge University Pressvan Leeuwen, Christos, Company, Computation, Computers, Conceptual Perspective, Cristian, David, Ding-Zhu, Elsevier, Freeman, Guide, Handbook, Intractability
see also · 2
Computational complexity → Computational, Postman Problem Complexity ListMaster

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complexity time algorithm algorithms problem computation generally may size displaystyle computer number problems needed operations input also model theory used

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SubjectPredicateObjectConfidenceSrc
Computational complexityrelated to ReferencesArora0.60section
Computational complexityrelated to ReferencesSanjeev0.60section
Computational complexityrelated to ReferencesBarak0.60section
Computational complexityrelated to ReferencesBoaz0.60section
Computational complexityrelated to ReferencesModern Approach0.60section
Computational complexityrelated to ReferencesCambridge0.60section
Computational complexityrelated to ReferencesISBN0.60section
Computational complexityrelated to ReferencesZbl0.60section
Computational complexityrelated to ReferencesCristian0.60section
Computational complexityrelated to ReferencesTheories0.60section
Computational complexityrelated to ReferencesElsevier0.60section
Computational complexityrelated to ReferencesDing-Zhu0.60section

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