n order to design efficient algorithms, the analysts have agreed on the criterion for measuring algorithms which typically include running time and space (i.e. memory) and as well as some other computational resources that the algorithm requires. Since time and space dominate among other resources so analysts defined them as; Time: How long does the algorithm take to complete. Space: How much working memory (typically RAM) is needed by the algorithm. Hence, for an algorithm to be efficient, the above two factors should be optimized; the large amount of time and space results the less efficient algorithm and vice versa. In the context of Graph Algorithms, do you agree or not with the given statement? "An efficient algorithm takes small amount of time and as well as small amount of space to solve a graph theory problem."
Answers
Our question is: n order to design efficient algorithms, the analysts have agreed on the criterion for measuring algorithms which typically include running time and space (i.e. memory) and as well as some other computational resources that the algorithm requires. Since time and space dominate among other resources so analysts defined them as; Time: How long does the algorithm take to complete. Space: How much working memory (typically RAM) is needed by the algorithm. Hence, for an algorithm to be efficient, the above two factors should be optimized; the large amount of time and space results the less efficient algorithm and vice versa. In the context of Graph Algorithms, do you agree or not with the given statement? "An efficient algorithm takes small amount of time and as well as small amount of space to solve a graph theory problem."
It is a fact that in computer science and software engineering, the verification of calculations is made in order to assure of multiple functions of computational nature of calculations which can measure time and potential of different tasks to execute them.
Therefore, anytime this happens, there are several situations in which time or space, can not be looked at straightforwardly, so we can saw for sure that it will be a success.