efficient code - перевод на русский
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efficient code - перевод на русский

THE AMOUNT OF COMPUTATIONAL RESOURCES USED BY AN ALGORITHM
Efficient procedure; Computationally efficient; Efficiently-computable; Algorithm efficiency; Code efficiency; Efficient algorithm

efficient code      
эффективный код
codetext         
  • A portion of the "[[Zimmermann Telegram]]" as decrypted by [[British Naval Intelligence]] codebreakers. The word ''Arizona'' was not in the German codebook and had therefore to be split into phonetic syllables.
METHOD USED TO ENCRYPT A MESSAGE
Codetext; Idiot code; One-part code; Two-part code; Cryptography code
(за) кодированный текст
Napoleonic Code         
  • The Napoleonic Code in the [[Historical Museum of the Palatinate]] in [[Speyer]]
CIVIL CODE OF 1804
Code Napoleon; Napoleonic civil code; Napoleanic Code; Code Civil; Code Napoléon; French Familly code; Code civil; French Civil Code; Civil Code of France; Civil Code of 1804; French civil code; Code civil du Français; Napoleonic law; Code civil des Français; Code civil des Francais; Napoleonic code; Napoléonic Code; Code Civil des Francais; Code Civil of 1804; French Napoleonic Code of 1804
[юр.] кодекс Наполеона

Определение

ФРАНЦУЗСКИЙ ГРАЖДАНСКИЙ КОДЕКС
1804 (Кодекс Наполеона) , действующий гражданский кодекс Франции. Составлен при активном участии Наполеона. Включает нормы гражданского, семейного, процессуального, частично трудового права. Кодекс закрепил свободу частной собственности, провозгласив это право священным и неприкосновенным.

Википедия

Algorithmic efficiency

In computer science, algorithmic efficiency is a property of an algorithm which relates to the amount of computational resources used by the algorithm. An algorithm must be analyzed to determine its resource usage, and the efficiency of an algorithm can be measured based on the usage of different resources. Algorithmic efficiency can be thought of as analogous to engineering productivity for a repeating or continuous process.

For maximum efficiency it is desirable to minimize resource usage. However, different resources such as time and space complexity cannot be compared directly, so which of two algorithms is considered to be more efficient often depends on which measure of efficiency is considered most important.

For example, bubble sort and timsort are both algorithms to sort a list of items from smallest to largest. Bubble sort sorts the list in time proportional to the number of elements squared ( O ( n 2 ) {\textstyle O(n^{2})} , see Big O notation), but only requires a small amount of extra memory which is constant with respect to the length of the list ( O ( 1 ) {\textstyle O(1)} ). Timsort sorts the list in time linearithmic (proportional to a quantity times its logarithm) in the list's length ( O ( n log n ) {\textstyle O(n\log n)} ), but has a space requirement linear in the length of the list ( O ( n ) {\textstyle O(n)} ). If large lists must be sorted at high speed for a given application, timsort is a better choice; however, if minimizing the memory footprint of the sorting is more important, bubble sort is a better choice.

Как переводится efficient code на Русский язык