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Analysis of algorithms is a Computational complexity theory. Activate to inspect this relation.Computational complexity theory is a Computability theory. Activate to inspect this relation.Computational complexity theory is part of Algorithm. Activate to inspect this relation.Big O notation is part of Analysis of algorithms. Activate to inspect this relation.Turing machine models Algorithm. Activate to inspect this relation.Computability theory depends on Turing machine. Activate to inspect this relation.NP-complete is part of Computational complexity theory. Activate to inspect this relation.NP-completeness is part of Computational complexity theory. Activate to inspect this relation.Class P is part of Computational complexity theory. Activate to inspect this relation.Finite automaton is analogous to Turing machine. Activate to inspect this relation.BQP (quantum complexity) is part of Computational complexity theory. Activate to inspect this relation.Time Complexity measures Turing machine. Activate to inspect this relation.Space Complexity measures Turing machine. Activate to inspect this relation.Time Complexity requires Big O notation. Activate to inspect this relation.Space Complexity requires Big O notation. Activate to inspect this relation.Class P depends on Time Complexity. Activate to inspect this relation.Space Complexity explains PSPACE. Activate to inspect this relation.Turing machine is a Finite automaton. Activate to inspect this relation.Algorithm models Turing machine. Activate to inspect this relation.Big O notationAnalysis of algorithmsTime ComplexitySpace ComplexityComputational complexity theoryTuring machineClass PPSPACEComputability theoryAlgorithmNP-completeNP-completenessBQP (quantum complexity)Finite automaton
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14 concepts19 relationships8 disciplines4 relation families

Big O notation

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At a glance

Big O notation is a mathematical notation that describes the approximate size of a function on a domain.

Disciplines
Computer Science · Algorithms · Computational Complexity
Role in the graph
Connector
Relationships
3 · 2 relation families
Mental models
1

Insights from this view

Structural observations about the concepts shown here — descriptions of this graph, not claims about the world.

  • This view connects 8 disciplines: Algorithms, Computational Complexity, Computer Science, Discrete Mathematics, Logic, Mathematics, Software Engineering, Theory of Computation.
  • Big O notation is a bridge concept — viewed here through Algorithms, Computational Complexity, Computer Science.
  • The connections here span 4 relation families.
  • Information explains 2 concepts in this view (Algorithms, Computational Complexity, Computer Science, Discrete Mathematics, Logic, Mathematics, Software Engineering, Theory of Computation).

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The focused concept’s relationships. Pick another concept in the graph above to update this list.

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Concept collections

Concept collections are curated lenses onto the fabric — themed sets of ideas that recur across disciplines. They are not journeys; they are a way to read the graph.

About this view

What this is

Start from one concept and expand outward. The view never shows everything at once — click a node to refocus, filter by relationship type, or switch to an accessible list.

One fabric

3750 concepts and 5051 typed relations form one connected component — no isolated silo.

How to read it

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