Technical

Window Sliding Technique is a strategy that aims to reduce nested loops for solving problems where you need to analyze a sequence of elements, like an array or a string. The technique reduces the use of a nested loop and replaces it with a single loop, reducing the time complexity.

The sliding window technique is efficient because it avoids unnecessary computations. By moving the window only one step at a time, you avoid repeating calculations already done for the previous window. This can save a lot of time and make the algorithm more efficient.

The two-pointer technique is an easy method used to solve some array-related problems. It involves using two pointers, one starting from the beginning of the array and the other from the end, to traverse the array and find a solution. This technique is helpful because it reduces the time complexity of the algorithm and increases its efficiency.

The two-pointer technique is used in various solutions such as finding the sum of two numbers in an array that equals a given target, finding the length of the longest subarray with a given sum, and finding the shortest subarray with a given sum. The basic idea behind this technique is to start from the two ends of the array and move the pointers towards each other until a solution is found or it becomes clear that a solution does not exist.