Given a list numList of n elements and key value K, arrange the following steps for finding the position of the key K in the numList using the binary search algorithm i.e. BinarySearch(numList, key).
mid = (first + last) // 2first = 0, last = n - 1first <= last REPEATnumList[mid] = key, numList[mid] > key, THEN last = mid - 1first = mid + 1Step 1: Initialization.
Establish search boundaries: set first = 0 and last = n-1. → (B).
Step 2: Midpoint Calculation.
Determine the middle index: calculate mid = (first + last) // 2. → (A).
Step 3: Iterative Search.
Continue as long as first <= last: compare the target key with the element at numList[mid]. If they match, the element is found. If the key is smaller, adjust the upper boundary (last = mid - 1); otherwise, adjust the lower boundary (first = mid + 1). → (D).
Step 4: Search Failure.
If the loop completes without locating the element, indicate an unsuccessful search. → (C).
Final Answer:\[\r \boxed{(B), (A), (D), (C)}\r \]