MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Binary search requires that the data be sorted before it can be applied. If we start with unsorted data, and use selection sort to sort it, how many searches must we do using binary search to be more efficient than sequential search on the unsorted data.

Detailed explanation-2: -Binary search works on sorted arrays. Binary search begins by comparing an element in the middle of the array with the target value. If the target value matches the element, its position in the array is returned. If the target value is less than the element, the search continues in the lower half of the array.

Detailed explanation-3: -Binary search has three simple prerequisites: Your dataset must be sorted. Your dataset must be sorted. Your dataset MUST be sorted.

Detailed explanation-4: -A quick search algorithm with run-time complexity of O is a binary search. Divide and conquer is the guiding philosophy behind this search algorithm. The data collection must be in sorted form for this algorithm to function correctly. You can enroll in the Python Programming course to help you upskill your skills.

Detailed explanation-5: -Binary search is a search algorithm that finds the position of a target value within a sorted array. Binary search compares the target value to the middle element of the array.