What best describes the space complexity of a program?
Answers
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Answer:
The amount of memory needed to solve a specific instance of the computational issue as a function of the input characteristics is known as the space complexity of an algorithm or computer program.
Explanation:
The degree to which an algorithm requires working storage is determined by its space complexity. This refers to the maximum amount of memory required at any given stage in the process. Space complexity or efficiency are two terms used to describe how much memory is required for an algorithm to run. Big O notation, which measures space complexity in terms of input size, is typically used. Big O is an easy way for us to represent mathematically how the size of a program's space requirements increases as the size of its inputs changes. Therefore, we can say that space complexity is the combination of or sum of the space utilised for input values and auxiliary space.
Thus, Auxiliary space and input space are both included in the definition of space complexity.