Sliding Window Technique Visualizer

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Learn and visualize sliding window techniques with interactive demonstrations for both fixed and variable size windows.

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Understanding Sliding Window
Fixed Size Window

A fixed-size sliding window maintains a constant size as it moves through the data structure. This is useful for problems like finding the maximum sum of a subarray of size k, or calculating moving averages.

Common Applications:
  • Maximum sum subarray of size k
  • Moving averages
  • Finding anagrams in a string
Variable Size Window

A variable-size sliding window can expand or contract based on certain conditions. This technique is often used when you need to find the optimal subarray that satisfies specific criteria.

Common Applications:
  • Longest substring with k distinct characters
  • Minimum window substring
  • Subarray with given sum
Example Problems