Maximum Subarray

Problem

Given an integer array nums, find the subarray with the largest sum, and return its sum.

Example 1:

Input: nums = [-2,1,-3,4,-1,2,1,-5,4]
Output: 6
Explanation: The subarray [4,-1,2,1] has the largest sum 6.

Example 2:

Input: nums = [1]
Output: 1
Explanation: The subarray [1] has the largest sum 1.

Example 3:

Input: nums = [5,4,-1,7,8]
Output: 23
Explanation: The subarray [5,4,-1,7,8] has the largest sum 23.

Constraints:

  • 1 <= nums.length <= 105
  • -104 <= nums[i] <= 104

Follow up: If you have figured out the O(n) solution, try coding another solution using the divide and conquer approach, which is more subtle.

Solution

Maybe I just really don’t understand what dynamic programming is.

class Solution {
    public int maxSubArray(int[] nums) {
        var curr = 0;
        var max = Integer.MIN_VALUE;

        for (var i : nums) {
            curr += i;
            max = Math.max(curr, max);
            if (curr < 0) {
                curr = 0;
            }
        }

        return max;
    }
}

Recent posts from blogs that I like

Lost in the log? Here’s Logistician 1.1

New version adds more detail to the list of log files, and a new graphical view to pick out anomalies in up to 6 weeks of previous log records.

via The Eclectic Light Company

Getting a better sense for when you’re thinking well and when you’re faking it

On mental proprioception

via Henrik Karlsson

Notes on Linear Algebra for Polynomials

We’ll be working with the set P_n(\mathbb{R}), real polynomials of degree \leq n. Such polynomials can be expressed using n+1 scalar coefficients a_i as follows: \[p(x)=a_0+a_1 x + a_2 x^2 + \cdots + a_n x^n\] Vector space The set P_n(\mathbb{R}), along with addition of polynomials and scalar multip...

via Eli Bendersky