Translation and analysis of words by ChatGPT artificial intelligence
On this page you can get a detailed analysis of a word or phrase, produced by the best artificial intelligence technology to date:
- how the word is used
- frequency of use
- it is used more often in oral or written speech
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- usage examples (several phrases with translation)
- etymology
subsocial nesting - translation to russian
общая лексика
субсоциальное гнездование (гнездо разделяют мать и её дочери)
['nestiŋ]
общая лексика
гнездование
вложение, вложенность
размещение одной структуры внутри другой, например вложенные циклы
компоновка [крупного] изображения из фрагментов или вёрстка макета страницы
гнездный
гнездовой
Смотрите также
существительное
морской термин
уборка шлюпок одна в другую
![[[Groundhog]] gathering nesting material for its warm [[burrow]]](https://commons.wikimedia.org/wiki/Special:FilePath/Marmota monax UL 07.jpg?width=200 "[[Groundhog]] gathering nesting material for its warm [[burrow]]")
![Wood rat (''Neotoma lepida'') nest at [[Joshua Tree National Park]]](https://commons.wikimedia.org/wiki/Special:FilePath/Wood rat (Neotoma lepida) midden.jpg?width=200 "Wood rat (''Neotoma lepida'') nest at [[Joshua Tree National Park]]")
общая лексика
гнездовое поведение
Definition
Wikipedia
Nesting algorithms are used to make the most efficient use of material or space by evaluating many different possible combinations via recursion.
- Linear (1-dimensional): The simplest of the algorithms illustrated here. For an existing set there is only one position where a new cut can be placed – at the end of the last cut. Validation of a combination involves a simple Stock - Yield - Kerf = Scrap calculation.
- Plate (2-dimensional): These algorithms are significantly more complex. For an existing set, there may be as many as eight positions where a new cut may be introduced next to each existing cut, and if the new cut is not perfectly square then different rotations may need to be checked. Validation of a potential combination involves checking for intersections between two-dimensional objects.
- Packing (3-dimensional): These algorithms are the most complex illustrated here due to the larger number of possible combinations. Validation of a potential combination involves checking for intersections between three-dimensional objects.
