Answer:
Since RANDY operates randomly, any file within the specified index range will have the recurrence relation as follows:
T(n) = T(n-i) + O(1)
Here, the probability is 1/n, where i can vary between 1 and n. The variable n in T(n) denotes the size of the index range, which will subsequently reduce to (n-i) in the following iteration.
Given that i is probabilistically distributed from 1 to n, the average case time complexity can then be expressed as:
T(n) = 
Next, solving T(n) = T(n/2) + O(1)
yields T(n) = O(log n).
Thus, the complexity of this algorithm is O(log n).
It should be noted that this represents the average time complexity due to the algorithm's randomized nature. In the worst-case scenario, the index range may only decrease by 1, resulting in a time complexity of O(n) since the worst-case scenario would be T(n) = T(n-1) + O(1).
Response:
Damon ComSci 037-0945 Activity 11-3 Formulate measurable performance objectives.... Imagine a trainer has set a broad aim for a training module, saying, “Able to format printed output in accordance with a specification sheet.” First, revise this goal statement to specify a quantifiable performance objective.
Explanation:
Answer: Scanners used in supermarkets for barcodes and voice-activated phone menus are not examples of artificial intelligence.
Explanation:
(a) Supermarket barcode scanners can read codes, yet they lack the capability to employ machine learning techniques for learning patterns within the codes. Machine learning is a crucial aspect of artificial intelligence (AI), thus indicating they do not qualify as instances of AI. Likewise, voice-activated menus can only present options and do not carry out any complex tasks.
In contrast, web search engines and internet routing algorithms demonstrate dynamic and intelligent capabilities in processing and delivering information to users.
Hence, these are considered examples of AI.