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Algorithms and data-structures implemented on JavaScript

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# Unique Paths Problem A robot is located at the top-left corner of a `m x n` grid (marked 'Start' in the diagram below). The robot can only move either down or right at any point in time. The robot is trying to reach the bottom-right corner of the grid (marked 'Finish' in the diagram below). How many possible unique paths are there? ![Unique Paths](https://leetcode.com/static/images/problemset/robot_maze.png) ## Examples **Example #1** ``` Input: m = 3, n = 2 Output: 3 Explanation: From the top-left corner, there are a total of 3 ways to reach the bottom-right corner: 1. Right -> Right -> Down 2. Right -> Down -> Right 3. Down -> Right -> Right ``` **Example #2** ``` Input: m = 7, n = 3 Output: 28 ``` ## Algorithms ### Backtracking First thought that might came to mind is that we need to build a decision tree where `D` means moving down and `R` means moving right. For example in case of boars `width = 3` and `height = 2` we will have the following decision tree: ``` START / \ D R / / \ R D R / / \ R R D END END END ``` We can see three unique branches here that is the answer to our problem. **Time Complexity**: `O(2 ^ n)` - roughly in worst case with square board of size `n`. **Auxiliary Space Complexity**: `O(m + n)` - since we need to store current path with positions. ### Dynamic Programming Let's treat `BOARD[i][j]` as our sub-problem. Since we have restriction of moving only to the right and down we might say that number of unique paths to the current cell is a sum of numbers of unique paths to the cell above the current one and to the cell to the left of current one. ``` BOARD[i][j] = BOARD[i - 1][j] + BOARD[i][j - 1]; // since we can only move down or right. ``` Base cases are: ``` BOARD[0][any] = 1; // only one way to reach any top slot. BOARD[any][0] = 1; // only one way to reach any slot in the leftmost column. ``` For the board `3 x 2` our dynamic programming matrix will look like: | | 0 | 1 | 1 | |:---:|:---:|:---:|:---:| |**0**| 0 | 1 | 1 | |**1**| 1 | 2 | 3 | Each cell contains the number of unique paths to it. We need the bottom right one with number `3`. **Time Complexity**: `O(m * n)` - since we're going through each cell of the DP matrix. **Auxiliary Space Complexity**: `O(m * n)` - since we need to have DP matrix. ### Pascal's Triangle Based This question is actually another form of Pascal Triangle. The corner of this rectangle is at `m + n - 2` line, and at `min(m, n) - 1` position of the Pascal's Triangle. ## References - [LeetCode](https://leetcode.com/problems/unique-paths/description/)