Глоссарий





Новости переводов

19 апреля, 2024

Translations in furniture production

07 февраля, 2024

Ghostwriting vs. Copywriting

30 января, 2024

Preparing a scientific article for publication in an electronic (online) journal

20 декабря, 2023

Translation and editing of drawings in CAD systems

10 декабря, 2023

About automatic speech recognition

30 ноября, 2023

Translation services for tunneling shields and tunnel construction technologies

22 ноября, 2023

Proofreading of English text



Глоссарии и словари бюро переводов Фларус

Поиск в глоссариях:  

Random

    An unknown person (stranger). example we met a few randoms at the party last night.


Random, английский

Случайный, русский
  1. Случайный , беспричинный

  2. Обусловленный случаем; не полностью определенный другими факторами. противоположность детерминированному. случай 214


Random, английский

Przypadkowy, польский



Random surfer, английский

Random, английский
  1. A dismissive description of an uninteresting and unimportant person... can also be used to describe an odd or amusing situation example person a how was that party last night? person b ehh, it was okay...it was mostly a bunch of randoms. or, what the hell was that? that was so random!

  2. A случайный hole, pattern

  3. Случайный; случайно выбранный

  4. Случайный; произвольный; беспорядочный; нерегулярный

  5. Случайный, произвольный; произвольно выбранный; беспорядочный, хаотичный

  6. Attribute of a process that is entirely or largely governed by chance, e.g., a roulette wheel, dice, the brownian movement, but also the pattern on the screen of a television set receiving atmospheric noise only. perfect randomness rarely exists in nature and is difficult to simulate. in practice, randomness is confined by particular parameters, e.g., a roulette wheel is expected to be random only within a range of numbers, not regarding how long the wheel takes to pick one, and it may even deviate from the ideal of uniform probabilities (->probability), e.g., when the roulett wheel is biased. the simulation of randomness by computers utilizes so-called pseudo random generators whose behavior is nearly impossible to predict without knowledge of the starting number and its algorithm (->generative) • ~ of a transformation