ترجمة وتحليل الكلمات عن طريق الذكاء الاصطناعي ChatGPT
في هذه الصفحة يمكنك الحصول على تحليل مفصل لكلمة أو عبارة باستخدام أفضل تقنيات الذكاء الاصطناعي المتوفرة اليوم:
- كيف يتم استخدام الكلمة في اللغة
- تردد الكلمة
- ما إذا كانت الكلمة تستخدم في كثير من الأحيان في اللغة المنطوقة أو المكتوبة
- خيارات الترجمة إلى الروسية أو الإسبانية، على التوالي
- أمثلة على استخدام الكلمة (عدة عبارات مع الترجمة)
- أصل الكلمة
%ما هو (من)٪ 1 - تعريف
![latent period]], the infectious period (the period of communicability) and the [[incubation period]]. In some diseases, as depicted in this diagram, the latent period is shorter than the incubation period. A person can transmit an infection without showing any signs of the disease. Such an infection is called a [[subclinical infection]].](https://commons.wikimedia.org/wiki/Special:FilePath/Concept of incubation period.svg?width=200 "latent period]], the infectious period (the period of communicability) and the [[incubation period]]. In some diseases, as depicted in this diagram, the latent period is shorter than the incubation period. A person can transmit an infection without showing any signs of the disease. Such an infection is called a [[subclinical infection]].")
ويكيبيديا
In computer science, a problem is said to have overlapping subproblems if the problem can be broken down into subproblems which are reused several times or a recursive algorithm for the problem solves the same subproblem over and over rather than always generating new subproblems.
For example, the problem of computing the Fibonacci sequence exhibits overlapping subproblems. The problem of computing the nth Fibonacci number F(n), can be broken down into the subproblems of computing F(n − 1) and F(n − 2), and then adding the two. The subproblem of computing F(n − 1) can itself be broken down into a subproblem that involves computing F(n − 2). Therefore, the computation of F(n − 2) is reused, and the Fibonacci sequence thus exhibits overlapping subproblems.
A naive recursive approach to such a problem generally fails due to an exponential complexity. If the problem also shares an optimal substructure property, dynamic programming is a good way to work it out.
