Dynamic programmingLeetCode 53

Lesson 14 of 76

Maximum Subarray

Find the contiguous subarray with the largest sum.

Watch on YouTube

Lesson notes

Try it before you watch

Restate the problem in your own words, list the edge cases, and sketch a solution with its running time. Then play the video and compare.

Reveal the key idea

Kadane's algorithm: at every index either extend the best subarray ending at the previous index or start fresh, and track the best sum seen.

Pattern: Dynamic programming. Define a state, write the recurrence between states, and compute each state only once.

Complexity

Cost of the standard optimal approach for Maximum Subarray
Measure Bound
Time O(n)
Extra space O(1)

Walkthroughs often start from a simpler approach first; aim to reach these bounds. New to Big-O? Read understanding algorithmic complexity.

More dynamic programming practice