Traduzione e analisi delle parole tramite l'intelligenza artificiale ChatGPT
In questa pagina puoi ottenere un'analisi dettagliata di una parola o frase, prodotta utilizzando la migliore tecnologia di intelligenza artificiale fino ad oggi:
- come viene usata la parola
- frequenza di utilizzo
- è usato più spesso nel discorso orale o scritto
- opzioni di traduzione delle parole
- esempi di utilizzo (varie frasi con traduzione)
- etimologia
optimization - traduzione in russo
[ɔptimai'zeiʃ(ə)n]
общая лексика
оптимизация
один из этапов компиляции, во время которого выполняется преобразование программы сохраняющее её семантику, но уменьшающее размер кода и/или время выполнения
критерий оптимальности
оптимизационный
нефтегазовая промышленность
определение оптимальных характеристик
подбор оптимальных условий
существительное
общая лексика
оптимизация
2) определение оптимальных характеристик, подбор оптимальных условий
- Bayesian optimization
- constrained optimization
- cost optimization
- integer optimization
- portfolio optimization
- process optimization
- program optimization
- quality cost optimization
- unconstrained optimization
Wikipedia
Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criterion, from some set of available alternatives. It is generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from computer science and engineering to operations research and economics, and the development of solution methods has been of interest in mathematics for centuries.
In the more general approach, an optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function. The generalization of optimization theory and techniques to other formulations constitutes a large area of applied mathematics. More generally, optimization includes finding "best available" values of some objective function given a defined domain (or input), including a variety of different types of objective functions and different types of domains.
