mirror of
https://github.com/thma/LtuPatternFactory.git
synced 2024-12-02 08:33:20 +03:00
start section on hof
This commit is contained in:
parent
718991b88c
commit
0d70f8330f
15
README.md
15
README.md
@ -51,6 +51,7 @@ I think this kind of exposition could be helpful if you are either:
|
|||||||
* [Abstract Factory → functions as data type values](#abstract-factory--functions-as-data-type-values)
|
* [Abstract Factory → functions as data type values](#abstract-factory--functions-as-data-type-values)
|
||||||
* [Builder → record syntax, smart constructor](#builder--record-syntax-smart-constructor)
|
* [Builder → record syntax, smart constructor](#builder--record-syntax-smart-constructor)
|
||||||
* [Functional Programming Patterns](#functional-programming-patterns)
|
* [Functional Programming Patterns](#functional-programming-patterns)
|
||||||
|
* [Higher Order Functions] (#higher-order-functions)
|
||||||
* [Map Reduce](#map-reduce)
|
* [Map Reduce](#map-reduce)
|
||||||
* [Continuation Passing](#continuation-passing)
|
* [Continuation Passing](#continuation-passing)
|
||||||
* [Lazy Evaluation](#lazy-evaluation)
|
* [Lazy Evaluation](#lazy-evaluation)
|
||||||
@ -2702,6 +2703,20 @@ BankAccount {accountNo = 5678, name = "Marjin Mejer", branch = "Reikjavik", bala
|
|||||||
The patterns presented in this section all stem from functional languages.
|
The patterns presented in this section all stem from functional languages.
|
||||||
That is, they have been first developed in functional languages like Scheme or Haskell and have later been adopted in other languages.
|
That is, they have been first developed in functional languages like Scheme or Haskell and have later been adopted in other languages.
|
||||||
|
|
||||||
|
### Higher Order Functions
|
||||||
|
|
||||||
|
> In mathematics and computer science, a higher-order function is a function that does at least one of the following:
|
||||||
|
>
|
||||||
|
> * takes one or more functions as arguments (i.e. procedural parameters),
|
||||||
|
> * returns a function as its result.
|
||||||
|
>
|
||||||
|
>All other functions are first-order functions. In mathematics higher-order functions are also termed operators or functionals. The differential operator in calculus is a common example since it maps a function to its derivative, also a function.
|
||||||
|
> [Quoted from Wikipedia](https://en.wikipedia.org/wiki/Higher-order_function)
|
||||||
|
|
||||||
|
We have already talked about higher order functions throughout this study – in particular in the section on the [Strategy Pattern](#strategy--functor). But as higher order functions are such a central pillar of the strength of functional languages I'd like to cover them in some more depths.
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
### Map Reduce
|
### Map Reduce
|
||||||
|
|
||||||
> MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to generate a set of intermediate key/value pairs, and a reduce function that merges all intermediate values associated with the same intermediate key.
|
> MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to generate a set of intermediate key/value pairs, and a reduce function that merges all intermediate values associated with the same intermediate key.
|
||||||
|
Loading…
Reference in New Issue
Block a user