The efficiency of an algorithm is measured through various parameters, such as CPU time, memory, disk, and network. The complexity is how the algorithm scales when the number of input parameters increases. Performance is a measure of time, space, memory, and other parameters. Algorithms are compared by their processing time and resource consumption. Complexity measures the parameters and is represented by the Big O notation.
Complexity and performance analysis
Complexity analysis of algorithms
The complexity of an algorithm is measured by the speed of the algorithm. Typically, the algorithm will perform differently based on processor speed, disk speed, memory, and other hardware parameters. Hence, asymptotical complexity is...
