Skeleton (computer programming): Difference between revisions

Revision as of 04:43, 30 November 2022

Revision as of 21:33, 1 February 2023

Line 56:

Each method is defined in the same format, with the name of the method as well as the syntax to be used in an [[integrated development environment]] clearly visible at the top of a block. With Java's focus on [[Scope (computer science)|scope]], [[data type]]s and [[Inheritance (object-oriented programming)|inheritance]], this syntax is extremely useful for new, if not all programmers. This is followed by an in-depth explanation of the operation of the method, with errors below.

[[Python (programming language)|Python]] has a similar approach to document it'sits in-built methods, however mimics the language's lack of fixation on scope and data types.<ref>{{Cite web|date=2009-02-14|title=Built-in Functions — Python v3.0.1 documentation|url=https://docs.python.org/3.0/library/functions.html|access-date=2020-10-03|website=docs.python.org}}</ref> This documentation has the syntax of each method, along with a short description and an example of the typical use of the method or function. The skeleton code provided in the example gives programmers a good understanding of the function at a quick glance.

=== Class definition ===

Line 99:

These skeletons are very different to the typical skeletons found above. ‘Resolution’ algorithms use a combination of methods to solve a specified problem. The algorithm's given problem can be a “family of problems”.<ref name=":1" /> There are two main types of these skeletons, ‘divide and conquer’ or ‘brand and bound’.

* ‘Divide and conquer’ uses a map skeleton as it'sits basis, combining this with a while skeleton to solve the problem. In map algorithms, functions on data are applied simultaneously. In ‘divide and conquer’ the set of data provided has a function applied to it using the map skeleton, however this can be applied recursively using the ‘while’ algorithm. The ‘while’ is only broken when the entire problem is solved.

* ‘Branch and bound’ is an algorithm that also uses map algorithms, however instead of applying the ‘while’ algorithm to run the tasks simultaneously, this algorithm splits the tasks into branches. Each branch has a specific purpose, or ‘bound’, where the conditional statement will cause it to stop.