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This section includes 6 Mcqs, each offering curated multiple-choice questions to sharpen your Technical MCQs knowledge and support exam preparation. Choose a topic below to get started.
1. |
The Omega notation is the formal way to express the __________ of an algorithms running time. |
A. | upper bound |
B. | medium bound |
C. | lower bound |
D. | both the lower bound and the upper bound |
E. | |
Answer» D. both the lower bound and the upper bound | |
2. |
Which is the formal way to express the upper bound of an algorithm's running time. |
A. | Big Oh Notation |
B. | Omega Notation |
C. | Theta Notation |
D. | None of the above |
Answer» B. Omega Notation | |
3. |
The space required by an algorithm is equal to the sum of the following _______ components. |
A. | 1 |
B. | 2 |
C. | 3 |
D. | 4 |
Answer» C. 3 | |
4. |
__________ of an algorithm represents the amount of memory space required by the algorithm in its life cycle. |
A. | Space complexity |
B. | Time Complexity |
C. | Quadratic Complexity |
D. | Exponential Complexity |
Answer» B. Time Complexity | |
5. |
An algorithm should have _________ well-defined outputs |
A. | 0 |
B. | 1 |
C. | 0 or more |
D. | 1 or more |
Answer» E. | |
6. |
In Average case, if operation takes ƒ(n) time in execution, then m operations will take? |
A. | ƒ(n) |
B. | f(m) |
C. | mf(n) |
D. | nf(m) |
Answer» D. nf(m) | |