Analysis of algorithms helps determine the most efficient algorithm to solve a problem out of multiple possibilities. Running time is used to compare algorithms, by examining how processing time increases with larger input sizes. Algorithm running times are expressed as mathematical functions of the input size n. An algorithm's best, worst, and average cases are modeled to analyze how efficiency varies depending on input. This helps identify the overall most optimal algorithm.