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S vs Robust - What's the difference?

s | robust |

As a letter s

is the letter s with a.

As an adjective robust is

evincing strength; indicating vigorous health; strong; sinewy; muscular; vigorous; sound; as, a robust body; robust youth; robust health.

s

Translingual

{{Basic Latin character info, previous=r, next=t, image= (wikipedia s)

Letter

  • The nineteenth letter of the .
  • Symbol

    (wikipedia) (mul-symbol)
  • voiceless alveolar fricative
  • Symbol for second , an SI unit of measurement of time.
  • See also

    (Latn-script) * * (esh) * (dze) * {{Letter , page=S , NATO=Sierra , Morse=ยทยทยท , Character=S , Braille=? }} Image:Latin S.png, Capital and lowercase versions of S , in normal and italic type Image:Fraktur letter S.png, Uppercase and lowercase S in Fraktur Symbols for SI units ----

    robust

    English

    Adjective

    (er)
  • Evincing strength; indicating vigorous health; strong; sinewy; muscular; vigorous; sound; as, a robust body; robust youth; robust health.
  • He was a robust man of six feet four.
  • * Anthony Trollope (1815-1882)
  • She was stronger, larger, more robust physically than he had hitherto conceived.
  • Violent; rough; rude.
  • * {{quote-news
  • , year=2011 , date=October 1 , author=Phil McNulty , title=Everton 0 - 2 Liverpool , work=BBC Sport citation , page= , passage=As a frenetic opening continued, Cahill - whose robust approach had already prompted Jamie Carragher to register his displeasure to Atkinson - rose above the Liverpool defence to force keeper Pepe Reina into an athletic tip over the top.}}
  • Requiring strength or vigor; as, robust employment.
  • Sensible (of intellect etc.); straightforward, not given to or confused by uncertainty or subtlety;
  • (systems engineering) Designed or evolved in such a way as to be resistant to total failure despite partial damage.
  • (software engineering) Resistant or impervious to failure regardless of user input or unexpected conditions.
  • (statistics) Not greatly influenced by errors in assumptions about the distribution of sample errors.
  • Usage notes

    * "More" and "most robust" are much more common than the forms ending in "-er" or "-est".

    Derived terms

    * robustness

    See also

    * (Robust statistics)

    Anagrams

    * * ----