Graph explorer

Explore the knowledge graph

Algorithm models Turing machine. Activate to inspect this relation.Approximation algorithm applies to NP-completeness. Activate to inspect this relation.Church-Turing Thesis depends on Turing machine. Activate to inspect this relation.Complexity Class NP depends on Nondeterminism. Activate to inspect this relation.Complexity Class NP is part of PSPACE. Activate to inspect this relation.Class P depends on Time Complexity. Activate to inspect this relation.Class P is part of Complexity Class NP. Activate to inspect this relation.Class P is part of Computational complexity theory. Activate to inspect this relation.Computability depends on Turing machine. Activate to inspect this relation.Finite automaton is analogous to Turing machine. Activate to inspect this relation.NP-completeness depends on Reduction (complexity). Activate to inspect this relation.NP-completeness is part of Complexity Class NP. Activate to inspect this relation.NP-completeness is part of Computational Complexity. Activate to inspect this relation.NP-completeness requires Polynomial-Time Reduction. Activate to inspect this relation.NP-completeness is part of Computational complexity theory. Activate to inspect this relation.One-way function depends on P versus NP. Activate to inspect this relation.P versus NP applies to Complexity Class NP. Activate to inspect this relation.P versus NP applies to Class P. Activate to inspect this relation.P versus NP is analogous to Riemann hypothesis. Activate to inspect this relation.P versus NP applies to Algorithm. Activate to inspect this relation.PCP theorem applies to NP-completeness. Activate to inspect this relation.Polynomial-Time Reduction is a Reduction (complexity). Activate to inspect this relation.Reduction (complexity) applies to NP-completeness. Activate to inspect this relation.Space Complexity explains PSPACE. Activate to inspect this relation.Space Complexity measures Turing machine. Activate to inspect this relation.Space Complexity requires Big O notation. Activate to inspect this relation.Time Complexity measures Turing machine. Activate to inspect this relation.Time Complexity requires Big O notation. Activate to inspect this relation.Turing machine is a Finite automaton. Activate to inspect this relation.Turing machine models Computability. Activate to inspect this relation.Turing machine models Algorithm. Activate to inspect this relation.Complexity Class NPNondeterminismPSPACEClass PNP-completenessP versus NPSpace ComplexityTime ComplexityComputational complexity theoryReduction (complexity)Computational ComplexityPolynomial-Time ReductionApproximation algorithmPCP theoremRiemann hypothesisAlgorithmOne-way functionTuring machineBig O notationFinite automatonComputabilityChurch-Turing Thesis
Relationship types

14 concepts viewed through this lens. Bridge concepts connect this view to Algorithms, Computer Science, Cryptography, Discrete Mathematics….

Legend
  • Focused concept
  • Connected concept
  • Bridge concept (just outside the lens)
  • Arrow points from cause / source to effect / target
  • A line with no arrow is a two-way relationship
  • Node colour marks the concept’s primary discipline
22 concepts31 relationships10 disciplines5 relation families

Complexity Class NP

Open concept →

At a glance

NP is the class of decision problems whose yes-instances have proofs verifiable in polynomial time.

Disciplines
Computational Complexity
Role in the graph
Cross-disciplinary bridge reaches Computer Science, Mathematics, Theory of Computation
Relationships
5 · 3 relation families

What am I looking at?

In this lens (14)

Bridge concepts (15)

Just outside the lens — they connect it to other context.

  • Computer Science, Theory of Computation · connects to Decidability, Halting problem, Turing machine
  • Algorithms, Computer Science, Discrete Mathematics, Logic, Mathematics, Software Engineering, Theory of Computation · connects to P versus NP, Turing machine
  • Computer Science, Logic · connects to Decidability, Turing machine
  • Algorithms, Computer Science · connects to Class P, NP-completeness
  • Algorithms, Computer Science · connects to Big O notation

Insights from this view

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

  • This view connects 10 disciplines: Algorithms, Computational Complexity, Computer Science, Cryptography, Discrete Mathematics, Logic, Mathematics, Number Theory, Software Engineering, Theory of Computation.
  • Algorithm is a bridge concept — viewed here through Algorithms, Computer Science, Discrete Mathematics, Logic, Mathematics, Software Engineering, Theory of Computation.
  • The connections here span 5 relation families.
  • Information explains 2 concepts in this view (Algorithms, Computational Complexity, Computer Science, Discrete Mathematics, Logic, Mathematics, Software Engineering, Theory of Computation).

Relationships as a list

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

Explore through a different lens

A lens is a deterministic projection of the graph. Pick a discipline, thinking pattern or journey to reframe the whole view.

By discipline

By thinking pattern

By journey

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

Focus a concept, or apply a lens (discipline, mental model, journey) to see only the threads that matter.