The average time complexity for an algorithm can be found by adding the best time and worst time and dividing that answer by 2. O True False

Extracted text: The average time complexity for an algorithm can be found by adding the best time and worst time and dividing that answer by 2. O True False


Extracted text: The linear search algorithm's growth rate is O(n). (The linear search searches the first item, then the second, then the third, etc., until it finds what it's looking for or until it runs out of items to search.) The binary search algorithm's growth rate is O(log n). Which is the faster search for a large number of items? The binary search because log n is smaller than n for large values of n. O The binary search because log n is always smaller than 1. The linear search because log n is smaller than n for large values of n. O The linear search because n grows faster than log n as n gets large.