Big O notation describes the performance or complexity of an Algorithm. It quantifies how the Running Time or space requirements grow as the input size tends towards infinity, providing an upper bound on an algorithm's worst-case behavior.
Big O notation describes the performance or complexity of an Algorithm. It quantifies how the Running Time or space requirements grow as the input size tends towards infinity, providing an upper bound on an algorithm's worst-case behavior.