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