Statements (62)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Artificial_Intelligence
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:Michael_Sipser
|
| gptkbp:affects |
gptkb:software_framework
|
| gptkbp:applies_to |
optimization problems
|
| gptkbp:challenges |
computer scientists
|
| gptkbp:criteria |
problem solvability
|
| gptkbp:discovered_by |
gptkb:Cook's_theorem
|
| gptkbp:focuses_on |
gptkb:physicist
complexity research |
| gptkbp:has_impact_on |
gptkb:currency
|
| https://www.w3.org/2000/01/rdf-schema#label |
NP-Completeness
|
| gptkbp:illustrated_by |
example problems
|
| gptkbp:includes |
NP-hard problems
|
| gptkbp:introduced |
gptkb:Stephen_Cook
|
| gptkbp:is_a_basis_for |
complexity classes
|
| gptkbp:is_a_framework_for |
the study of algorithms
|
| gptkbp:is_analyzed_in |
time complexity
|
| gptkbp:is_associated_with |
complexity theory
|
| gptkbp:is_connected_to |
algorithmic problem solving
|
| gptkbp:is_critical_for |
algorithmic research
understanding computational feasibility |
| gptkbp:is_described_as |
algorithmic complexity
decision problems |
| gptkbp:is_discussed_in |
graph theory
computer science literature computer science curricula |
| gptkbp:is_essential_for |
theoretical computer science
|
| gptkbp:is_explored_in |
case studies
computer science education |
| gptkbp:is_fundamental_to |
computational theory
|
| gptkbp:is_influenced_by |
data structures
problem-solving strategies |
| gptkbp:is_linked_to |
algorithm efficiency
|
| gptkbp:is_often_associated_with |
computer science textbooks
|
| gptkbp:is_often_compared_to |
gptkb:P_problems
academic research. |
| gptkbp:is_often_used_in |
SAT problem
|
| gptkbp:is_related_to |
reduction techniques
|
| gptkbp:is_studied_in |
theoretical computer science
|
| gptkbp:is_used_in |
algorithm design
|
| gptkbp:key |
gptkb:computer_science
|
| gptkbp:key_issues |
computational theory
|
| gptkbp:keywords |
computational limits
|
| gptkbp:measures |
problem difficulty
|
| gptkbp:performance |
algorithm performance
|
| gptkbp:related_concept |
gptkb:Mathematician
|
| gptkbp:related_to |
gptkb:P_vs_NP_problem
|
| gptkbp:scientific_classification |
problems
computational problems many famous problems theoretical analysis of algorithms understanding problem complexity |
| gptkbp:set_in |
NP problems
|
| gptkbp:significant_event |
computational mathematics
|
| gptkbp:subject |
algorithm analysis
academic papers theoretical discussions computer science courses discrete mathematics computer theorists |
| gptkbp:symbolizes |
problems that can be verified in polynomial time
|