MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Unambiguity: A perfect algorithm is defined as unambiguous, which means that its instructions should be clear and straightforward. Finiteness: An algorithm must be finite. Finiteness in this context means that the algorithm should have a limited number of instructions, i.e., the instructions should be countable.

Detailed explanation-2: -A good algorithm should produce the correct outputs for any set of legal inputs. A good algorithm should execute efficiently with the fewest number of steps as possible. A good algorithm should be designed in such a way that others will be able to understand it and modify it to specify solutions to additional problems.

Detailed explanation-3: -Clear and Unambiguous: The algorithm should be clear and unambiguous. Each of its steps should be clear in all aspects and must lead to only one meaning. Well-Defined Inputs: If an algorithm says to take inputs, it should be well-defined inputs. It may or may not take input.

Detailed explanation-4: -The efficiency of the algorithms used in an application can impact its overall performance; hence, the importance of measuring the performance and complexity of algorithms through means that are accessible not only to mathematicians but also to any software engineer who aims to excel in algorithm design.