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Explore the main themes, entities and connections around Functional programming. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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History
Applications
Concepts
Comparison to imperative programming
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
- Computer science
- Programming paradigm
- Applying Function application
- Composing functions Function composition (computer science)
- Declarative Declarative programming
- Trees Tree (data structure)
- Expressions Expression (computer science)
- Values Value (computer science)
- Imperative programming
- Statements Statement (computer science)
- State State (computer science)
- First-class entities First-class object
- Identifiers Identifier (computer languages)
- Arguments Parameter (computer programming)
- Returned Return value
- Data type
- Composable Composability
- Modular Modular programming
- Purely functional programming
- Deterministic Deterministic system
- Functions Function (mathematics)
- Pure functions Pure function
- Side effects Side effect (computer science)
- Procedures Procedure (computer science)
- Bugs Software bug
- Debug Debugging
- Test Software testing
- Formal verification
- Lambda calculus
- Common Lisp
History
- Alonzo Church
- Formal system
- Computation
- Alan Turing
- Turing machines
- Turing complete
- Combinatory logic
- Moses Schönfinkel
- Haskell Curry
- Simply typed lambda calculus
- High-level High-level programming language
- Lisp Lisp (programming language)
- IBM 700/7000 series
- John McCarthy John McCarthy (computer scientist)
- Massachusetts Institute of Technology
- Recursive Recursion (computer science)
- Dylan Dylan (programming language)
- Julia Julia (programming language)
- Information Processing Language
- Low-level programming language
- Kenneth E. Iverson
- APL APL (programming language)
- ISBN ISBN (identifier)
- John Backus
- FP FP (programming language)
- Roger Hui
- Arthur Whitney Arthur Whitney (computer scientist)
- Peter Landin
- SECD machine
- Abstract machine
Concepts
- Object-oriented programming
- Higher-order functions Higher-order function
- Differential operator
- Derivative
- First-class functions First-class function
- Partial application
- Currying
- Successor function
- Natural number
- Referential transparency
- Idempotence
- Memoization
- Parallel Parallelization
- Thread-safe
- Deforestation Deforestation (computer science)
- Gcc GNU Compiler Collection
- Fortran 95
- Iteration
- Recursion
- Stack Call stack
- Tail recursion
- Continuation passing style
- Chicken Chicken (Scheme implementation)
- Stack overflow
- Garbage collector Garbage collection (computer science)
- Catamorphisms Catamorphism
- Anamorphisms Anamorphism
- Loops Program loops
- Imperative languages
- Halting problem
Comparison to imperative programming
- Off-by-one errors Off-by-one error
- Greenspun's tenth rule
- Monads Monad (functional programming)
- Category theory
- Hoare logic
- Uniqueness Uniqueness type
- Effect systems Effect system
- CPU Central processing unit
- Pascal Pascal (programming language)
- Pointer chasing Pointer chasing?action=edit&redlink=1
- The Computer Language Benchmarks Game
- Matrices Matrix (mathematics)
- Databases Database
- Array Array programming
- Inline expansion
- Shared-nothing Shared-nothing architecture
- Concurrent and parallel Parallel computing
- Atomic Linearizability
- Message passing
- Actor model
- Akka Akka (toolkit)
- Lazy evaluation
- Memory leaks Memory leak
- Lua
- Lambda Anonymous function
- Fold Fold (higher-order function)
- Visual Basic 9
- Closures Closure (computer science)
- Higher-Order Perl
- Anonymous classes Anonymous class
Comparison to logic programming
- Logic programming
- Ciao Ciao (programming language)
Applications
- Emacs
- Lisp dialect Emacs Lisp
- GNU Emacs
- Richard Stallman
- Spreadsheets Spreadsheet
- Microservices
- Programming language theory
- Peer-reviewed Peer-review
- International Conference on Functional Programming
- Journal of Functional Programming
- Symposium on Trends in Functional Programming Symposium on Trends in Functional Programming?action=edit&redlink=1
- Swedish Sweden
- Ericsson
- Fault-tolerant Fault tolerance
- Telecommunications
- Nortel
- Électricité de France
- Apple Macintosh
- Simulation software Computer simulation
- Telescope
- Driver Software driver
- Robot
- Embedded software
- Data science
- ClojureScript
- Elm Elm (programming language)
- PureScript
- Phoenix framework Phoenix (web framework)
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.Functional programming
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.
Functional programming
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
functional programming languages functions imperative language use recursion used data function programs pure higher-order evaluation lambda also lisp haskell state
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 |
|---|---|---|---|---|
| Functional programming | is a | programming paradigm where programs are constructed by applying and composing functions | 0.90 | text |
| Dylan | instance of | and offshoots | 0.80 | text |
| Julia | instance of | and offshoots | 0.80 | text |
| sought to simplify | instance of | and offshoots | 0.80 | text |
| rationalise Lisp around a cleanly functional core | instance of | and offshoots | 0.80 | text |
| while Common Lisp was designed to preserve | instance of | and offshoots | 0.80 | text |
| update the paradigmatic features of the numerous older dialects it replaced.Information Processing Language | instance of | and offshoots | 0.80 | text |
| parametric CAD in the OpenSCAD language built on the CGAL framework | instance of | implementation releases have been ongoing as of 1990.More recently it has found use in niches | 0.80 | text |
| although its restriction on reassigning values | instance of | implementation releases have been ongoing as of 1990.More recently it has found use in niches | 0.80 | text |
| memoization | instance of | This can enable caching optimizations | 0.80 | text |
| loops in imperative languages.Most general purpose functional programming languages allow unrestricted recursion | instance of | Such recursion schemes play a role analogous to built-in control structures | 0.80 | text |
| are Turing complete | instance of | Such recursion schemes play a role analogous to built-in control structures | 0.80 | text |
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.