@dxzmpk/js-algorithms-data-structures
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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?

## 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/)