Оценка сложности алгоритма. Сложность алгоритмов. Big O, Большое О

Full video course with a 50% discount: https://cronis.by/video-course-sale/ Free training: https://cronis.by/video-materials/ Promo code YT_20 for a 20% discount on the new live online course: https://cronis.by/online-cart Video courses: ➤ Full course with difficulty rating: https://www.udemy.com/course/big-o-ru... ➤ Full course on binary numbers: https://www.udemy.com/course/binary_s... ➤ Full course on binary trees: https://www.udemy.com/course/cronis_b... This video will cover the basics of Big O and algorithm complexity estimation: ➥ What is Big O; ➥ Where does log N come from in algorithms; ➥ How to evaluate algorithms; ➥ Solutions to typical Big O problems. We'll discuss algorithm complexity estimation and algorithm complexity, as well as what Big O is. This video is part of a lecture from the Cronis School: http://cron.is Contents: ⌚ 02:27 A Real-World Big O Example ⌚ 03:37 Time Complexity Estimation ⌚ 10:30 Dropping Constants in Complexity Estimation ⌚ 14:30 Addition and Multiplication of Complexities ⌚ 15:38 Log N Execution Time ⌚ 18:40 Complexity Estimation Examples ✎ Google, Facebook, and Yandex Problems:    • Google задачи. Задача восстановления текст...   Individual Topics from Scratch: ➤ Binary System:    • Двоичная система счисления. Максимально пр...   ➤ Turing Machine:    • Машина Тьюринга. Принцип работы компьютера   ➤ Induction:    • Лекция 02. Математическая индукция с нуля....   ➤ Recursion:    • Рекурсия. Полная теория. Часть 1/2   You can read more here: Cracking the Coding Interview by Gayle Laakmann McDowell The author of the book above uses materials from: Steven S. Skiena, The Algorithm Design Manual The video uses examples from these books. Telegram: https://t.me/cronisby Email: [email protected] #Big_O #logN #Algorithm_Complexity_Estimation #Big_O #binary_search #binary_search