Solve Subarray Problems Quickly With Sliding Window Technique | FREE DSA Course in JAVA | Lecture 79 скачать в хорошем качестве

Solve Subarray Problems Quickly With Sliding Window Technique | FREE DSA Course in JAVA | Lecture 79

We have to solve a program known as the maximum sum subarray of size k. So it means for a given size of subarray k, we have to find the maximum sum of all the subarrays of size k. For example [2,9,31,-4,21,7] is an array, and k = 3. Then for k=3 all subarrays are [2,9,31], [9,31,-4], [31,-4,21], [-4,21,7]. Hence the maximum sum is of [31,-4,21] which is 48. So the output will be 48. Let's see how we can solve this question with a unique technique known as the sliding window technique which can help solve many questions of arrays in an efficient manner. For more information, fill out this form: https://forms.gle/8eiUmM92Fx563Aen9 or call us at 8884881203 Facebook:   / thetapacademy   Instagram:  / tapacademy_online   Linkedin:   / 73820805   Website: https://www.thetapacademy.com​ #java #javaarray #arrayinjava #arrayquestions #coding #dsa #programming #coders #placement