Question

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."

Answer 1

In software engineering, the examination of calculations is the assurance of the computational multifaceted nature of calculations that is the measure of time, stockpiling or potentially different assets important to execute them.

In any case, the different assets (e.g. time, space) can't be looked at straightforwardly, so which of two calculations will be particularly successful.