Skip to main content
Glite Dictionary
💰 Desire for wealth 🍽️ Desire for food 🤖 Quick choice
greediness

greediness

9.0
Choosing the best option at each step even if it misses a better overall solution
  • noun
  • /ˈɡriːdiness/
  • Specialized
translation icon : avaricia
  • The algorithm's greediness led it to select the quickest route, but it missed a more efficient path overall.

Examples

  • Due to the program's greediness, it repeatedly made choices that minimized immediate costs without considering long-term benefits.

  • In the optimization process, the greediness of the strategy caused it to overlook better solutions.

  • And you could think of this as sort of a euphemism for the greediness of an atom for electrons.

Synonyms

greed
vsgreediness
293 1.9

A strong selfish wish for more, especially money or power

describes an algorithm choosing the locally best option and missing global optimum
avarice
vsgreediness
  • Formal
11 9.9

A very strong desire to have more money and things

applies to algorithmic local choice bias risking overall optimal solution
rapaciousness
vsgreediness
  • Formal
1 9.9

A very strong desire to take more than is fair

describes an algorithm prioritizing immediate gains over final optimal outcome
avariciousness
vsgreediness
  • Formal
9.9

A very strong desire to have a lot of money and things

means choosing the best immediate step even if global result suffers
rapacious nature
vsgreediness
  • Formal
8.9

A strong greedy wish to take more than is fair

means following the best short term choice that may lose global optimality

Surface Forms

greediness singular
greedinesses plural

Morphology

greediness = greedy (transparent) = greed + iness

The word 'greediness' is transparently derived from 'greedy' by adding the suffix '-ness' to form a noun indicating the state or quality.

Etymology

Greediness comes from the same root greed, meaning 'wanting more now', and a 'greedy' algorithm borrows that idea by always taking the best-looking choice at each step. So greediness in computing means choosing the quick, local gain instead of planning for a better result later.