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There are many points in two-dimensional space which need to be visited in a specific sequence. Path from one point to other is always chosen as shortest path and path segments are always aligned with grid lines. Now we are given the path which is chosen for visiting the points, we need to tell the minimum number of points that must be needed to generate given path. Examples:
In above diagram, we can see that there must be at least 3 points to get above path, which are denoted by A, B and C
We can solve this problem by observing the pattern of movement when visiting the stops. If we want to take the shortest path from one point to another point then we will move in either one or max two directions i.e. it is always possible to reach the other point following maximum two directions and if more than two directions are used then that path wonβt be shortest, for example, path LLURD can be replaced with LLL only, so to find minimum number of stops in the path, we will loop over the characters of the path and maintain a map of directions taken till now.
If at any index we found both βLβ as well as βRβ or we found both βUβ as well as βDβ then there must be a stop at current index, so we will increase the stop count by one and we will clear the map for next segment. Total time complexity of the solution will be O(N)
Implementation:
3
Time Complexity: O(n*logn).
Auxiliary Space: O(n)