Research this topic
Explore the main themes, entities and connections around Boolean satisfiability problem. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Explore this topic
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
Extensions of SAT
Definitions
Complexity
Algorithms for solving SAT
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Topics to explore
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.Browse the full topic structure. Each item opens a new analysis centered on that subject.
Overview
- Logic
- Computer science
- Interpretation Interpretation (logic)
- Satisfies Satisfiability
- Boolean Boolean logic
- Formula Formula (mathematical logic)
- NP-complete
- Cook–Levin theorem
- NP NP (complexity)
- Polynomial time Time complexity
- Polynomial-time
- P versus NP problem
- Artificial intelligence
- Circuit design
- Automatic theorem proving
Definitions
- Propositional logic
- Variables Variable (mathematics)
- Conjunction Logical conjunction
- Disjunction Logical disjunction
- Negation
- Logical values Logical value
- Decision problem
- Theoretical computer science
- Complexity theory Computational complexity theory
- Algorithmics
- Cryptography
- Horn clause
- Conjunctive normal form
- Boolean function
- Below Boolean satisfiability problem
- Boolean algebra
- Tseytin transformation
Complexity
- Stephen Cook
- University of Toronto
- Leonid Levin
- Russian Academy of Sciences
- Complexity class
- Reduced Reduction (complexity)
- Graph Graph (discrete mathematics)
- 3-coloring Graph coloring
- Fresh variables Fresh variable
- Logically equivalent
- Equisatisfiable
- Karp's 21 NP-complete problems
- NP-hard
- Polynomial-time reduction
- Clique problem
- Exponential time hypothesis
- DPLL algorithm
Special instances of 3SAT
- 2-SAT 2-satisfiability
- Complete NL-complete
- NL NL (complexity)
- XOR Exclusive or
- SL SL (complexity)
- Unit propagation
- P-complete
- P's P (complexity)
- Implication Entailment
Not 3SAT problems
Extensions of SAT
- Satisfiability modulo theories
- Uninterpreted functions Uninterpreted function
- Quantifiers Quantifier (logic)
- Tautology Tautology (logic)
- Co-NP-complete
- Quantified Boolean formula problem
- PSPACE-complete
- PP PP (complexity)
- #SAT Sharp-SAT
- #P-complete Sharp-P-complete
- US US (complexity)?action=edit&redlink=1
- Turing machine
- Promised Promise problem
- Shown Valiant–Vazirani theorem
- Randomized polynomial-time BPP (complexity)
- NP NP (complexity class)
- Maximum satisfiability problem
- FNP FNP (complexity)
- Approximation algorithms Approximation algorithm
- APX
- Polynomial-time approximation scheme
- First First-order predicate calculus
- Second-order logic
- Constraint satisfaction problems Constraint satisfaction problem
- 0-1 integer programming
Finding a satisfying assignment
- Search problem
- {x1=TRUE} Substitution (logic)
- P/poly
- PH PH (complexity)
- Σ2 Polynomial hierarchy
- Karp–Lipton theorem
- RP RP (complexity)
- FP FP (complexity)
Algorithms for solving SAT
- Electronic design automation
- Formal equivalence checking
- Model checking
- Formal verification
- Pipelined microprocessors Microprocessor
- Automatic test pattern generation
- Routing Routing (electronic design automation)
- FPGAs FPGA
- Planning Automated planning and scheduling
- Scheduling problems Scheduling algorithm
- Davis–Putnam–Logemann–Loveland algorithm
- Conflict-driven clause learning
- Stochastic
- Local search Local search (constraint satisfaction)
- WalkSAT
- Deep learning
- Operations research
Sources
Advanced semantic analysis
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.Boolean satisfiability problem
How this topic connects Entity context
Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.See the strongest relationship patterns around the current topic before diving into the raw triples.
Boolean satisfiability problem
Top relations
Important terminology Word statistics
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Important terminology
problem formula sat variables satisfiability form clause true one np-complete clauses algorithm normal problems literals time formulas called also conjunctive
Entity relationships Subject–Predicate–Object triples
Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| WalkSAT | instance of | and stochastic local search algorithms | 0.80 | text |
| Boolean satisfiability problem | related to Definitions | Boolean | 0.60 | section |
| Boolean satisfiability problem | related to Definitions | AND | 0.60 | section |
| Boolean satisfiability problem | related to Definitions | OR | 0.60 | section |
| Boolean satisfiability problem | related to Definitions | NOT | 0.60 | section |
| Boolean satisfiability problem | related to Definitions | TRUE | 0.60 | section |
| Boolean satisfiability problem | related to Definitions | FALSE | 0.60 | section |
| Boolean satisfiability problem | related to Definitions | The Boolean | 0.60 | section |
| Boolean satisfiability problem | related to Definitions | SAT | 0.60 | section |
| Boolean satisfiability problem | related to Definitions | This | 0.60 | section |
| Boolean satisfiability problem | related to External links | SAT Game | 0.60 | section |
| Boolean satisfiability problem | related to External links | Boolean | 0.60 | section |
Related concept clusters Concept neighborhoods
Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.These clusters group vocabulary that occurs around closely connected concepts in the source material.
Connections between topic areas Semantic bridges
Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.