10 Questions
An algorithm should have at least one well-defined input.
False
An algorithm is considered unambiguous if each of its steps and their inputs/outputs are unclear.
False
Finiteness in algorithms means that algorithms can continue running indefinitely.
False
Feasibility of an algorithm means that it should be impossible to implement with the available resources.
False
Algorithm analysis a priori is an empirical analysis of the efficiency of an algorithm.
False
Space complexity in algorithms refers to the amount of time required by an algorithm to solve a problem.
False
The space complexity of the given algorithm SUM(A, B) is calculated by adding up the space required for each variable and constant.
True
The constant 10 in the algorithm SUM(A, B) contributes 2 units to the space complexity calculation.
False
In the given algorithm, C ← A + B + 10, the variable C takes up additional space equal to the sum of A and B.
False
Each step in an algorithm should be dependent on specific programming code for clarity.
False
Test your knowledge on the characteristics of algorithms such as clarity, inputs, outputs, finiteness, and feasibility. Make sure you understand the importance of unambiguous instructions and well-defined inputs and outputs.
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