2.13. Glossary

algorithm

a generic, step-by-step list of instructions for solving a problem

average case

refers to when an algorithm performs between its worst and best case given a certain data set or circumstance

best case

refers to when an algorithm performs especially good given a certain data set or circumstance

Big-O notation

another term for order of magnitude; written as O(f(n))

brute force

technique that tries to exhaust all possibilities of a problem

contains

A hash operation used to check if a table contains a specific element.

contiguous

adjacent or next to

dynamic size

able to change size automatically

exponential

function represented as a number being raised to a power that increases like f(n)=2n

get_item

A hash operation used to retrieve the information associated with a hash key.

hash table

a collection consisting of key-value pairs with an associated hash function that maps the key to the associated value.

linear

function that grows in a one-to-one relationship with its input like f(n)=n

logarithmic

functions that are the inverse of exponential functions usually presented as f(n)=logn

order of magnitude

function describing the part T(n) that increases the fastest as the value of n increases (a function describing an algorithm’s steps as the size of the problem increases).

quadratic

function describing a relationship who’s highest order is a number squared

simplified: f(n)=x2

complex: ax2+bx+c

set_item

A hash operation used to add an item to your table.

vector

sequence container storing data of a single type that is stored in a dynamically allocated array which can change in size.

worst case

refers to when an algorithm performs especially poorly given a certain data set or circumstance

2.14. Matching

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