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Big O from Code
It is often easy to determine Big O directly from code:
- Elementary ops such as +, =, a[i], v.f are O(1).
- The Big O for a sequence of statements { ; ; }
is the max of the Big O of the statements.
- The Big O for an if statement is the max of
the Big O of the test, then statement, and else statement.
- The Big O for a loop is the loop count times the Big O
of the contents.
- Big O for a recursive call that cuts the problem size in
half is:
- discard one half: log(n) (binary search).
- process both halves: n · log(n) (quicksort).