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Decision tree model

In computational complexity theory, the decision tree model is the model of computation in which an algorithm can be considered to be a decision tree, i.e. a sequence of queries or tests that are done adaptively, so the outcome of previous tests can influence the tests performed next.

Products, Linear and algebraic decision trees & Comparison trees and lower bounds for sorting

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Linear and algebraic decision trees

VectorsFibersHalf-spacesPolynomialsSemialgebraic sets
12 related topics

Comparison trees and lower bounds for sorting

FordJohnsonPermutationBinary treeSorting algorithm
9 related topics

Boolean decision tree complexities

Boolean functionMonte CarloLas VegasCertificate complexityNondeterministic algorithm
5 related topics

Relationships between Boolean function complexity measures

Noam NisanPartial Boolean functionsDeutsch and JozsaAnalysis of Boolean functionsHao Huang
5 related topics

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Comparison trees and lower bounds for sorting

Linear and algebraic decision trees

Boolean decision tree complexities

Relationships between Boolean function complexity measures

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Decision tree model

Nodes49
Edges48
Triples1
Avg. degree1.96
Density0.040816
Components1

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Decision tree model

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is a · 1
Decision tree model → model of computation in which an algorithm can be considered to be a decision tree

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displaystyle decision tree complexity trees comparison query computational algorithm algorithms model lower depth log sensitivity linear randomized sorting input least

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SubjectPredicateObjectConfidenceSrc
Decision tree modelis amodel of computation in which an algorithm can be considered to be a decision tree0.90text

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