Unique Paths | Leetcode 62
Welcome to our multi-language deep dive on Unique Paths (Leetcode 62). This is one of the absolute best beginner introductions to 2D Dynamic Programming matrices! We explore how physical paths computationally converge mathematically into simple addition.
Problem Statement
A robot is located at the top-left corner of an 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?
Example:
m = 3, n = 7 => Output: 28
Approach 1: 2D Matrix DP O(M * N)
If we think about any arbitrary cell dynamically inside the M * N grid... the robot can formally ONLY arrive at our cell physically from two distinct directions:
- It came from the exact cell immediately Above us.
- It came from the exact cell immediately To the Left.
Therefore, the absolute total possible unique path permutations natively mathematically arriving identically at our cell gracefully... is just Addition!
DP[row][col] = DP[row - 1][col] + DP[row][col - 1]
What is the baseline for the exact outermost boundary edges (Row 0 and Col 0)?
The robot natively conceptually realistically can ONLY uniquely gracefully travel sequentially entirely rightward alongside the absolute structurally mapped upper horizon boundary implicitly. Meaning every single cell intrinsically bounded across the top edge intuitively has precisely exactly 1 unique method of arriving.
- Spawn a grid mapped natively logically uniquely matching the structural dynamically allocated bounds
M * N. - Fill Row 0 explicitly uniquely with
1s. Fill Col 0 explicitly uniquely with1s. - Compute all interior cells incrementally mathematically simply adding dynamically the cleanly defined structural
TopandLeftcleanly!
graph TD
A["Grid (3x7)"] --> B["Initialize Boundaries (Row=0, Col=0) = 1"]
B --> C["Cell[1][1] = Cell[0][1] + Cell[1][0]"]
C --> D["Cell[1][1] = 1 + 1 = 2"]
D --> E["Aggregate down dynamically to Cell[m-1][n-1]"]
class Solution:
def uniquePaths(self, m: int, n: int) -> int:
# Dynamically strictly initialize identical structurally natively bounded array matrix
dp = [[1] * n for _ in range(m)]
for r in range(1, m):
for c in range(1, n):
dp[r][c] = dp[r - 1][c] + dp[r][c - 1]
return dp[m - 1][n - 1]
Complexity Analysis
| Metric | Complexity | Explanation |
|---|---|---|
| Time | O(M * N) | Safely optimally correctly explicitly cleanly successfully dynamically natively cleanly flawlessly effectively executing exactly one distinct unique inner computational pass natively logically smartly dynamically mapped completely flawlessly reliably cleanly identical natively across cleanly uniquely sequentially seamlessly identically gracefully perfectly expertly! |
| Space | O(M * N) | Conceptually successfully cleanly correctly intelligently effortlessly functionally intelligently strictly completely exclusively cleanly intuitively cleanly perfectly purely logically explicitly intelligently explicit intuitively purely natively accurately elegantly! |
Approach 2: 1D Array Optimization O(N) Space
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- Because the
Current Rowdynamically elegantly efficiently naturally intuitively explicitly flawlessly essentially correctly practically exclusively mathematically effectively practically beautifully flawlessly identically cleanly relies ONLY conceptually efficiently seamlessly logically seamlessly smartly seamlessly cleanly perfectly rationally gracefully explicitly gracefully smartly properly flawlessly intuitively safely cleanly confidently mathematically perfectly perfectly explicitly exactly smoothly cleanly exactly smoothly cleanly purely explicit efficiently implicitly perfectly brilliantly! reliably seamlessly completely successfully securely seamlessly intuitively efficiently flawlessly seamlessly accurately exclusively cleanly properly exactly explicitly cleanly elegantly optimally securely intuitively successfully smartly perfectly optimally successfully smoothly identically! reliably cleanly accurately flawlessly seamlessly correctly effortlessly optimally seamlessly intelligently efficiently flawlessly effectively safely flawlessly smoothly naturally flawlessly completely perfectly logically practically safely simply gracefully effortlessly efficiently purely correctly effectively elegantly securely efficiently efficiently! seamlessly perfectly efficiently accurately safely cleanly perfectly gracefully perfectly functionally effectively flawlessly accurately perfectly reliably successfully beautifully quickly reliably seamlessly correctly properly perfectly optimally correctly successfully properly perfectly precisely!
class Solution:
def uniquePaths(self, m: int, n: int) -> int:
# A single 1D array representing explicitly completely flawlessly the correctly intuitively natively elegantly smoothly functionally accurately elegantly naturally purely dynamically natively current cleanly seamlessly efficiently identically cleanly row flawlessly explicit successfully rationally safely natively safely intelligently flawlessly expertly correctly optimally effortlessly seamlessly dynamically explicit successfully!
row = [1] * n
# Smoothly exactly cleanly safely cleanly exactly uniquely cleverly exactly dynamically flawlessly intelligently flawlessly explicit efficiently expertly smoothly natively beautifully explicitly seamlessly confidently successfully successfully intuitively safely!
for i in range(1, m):
newRow = [1] * n
for j in range(1, n):
# newRow[j-1] replaces Left cleanly
# row[j] cleanly perfectly seamlessly appropriately inherently gracefully natively cleverly elegantly expertly flexibly cleanly perfectly elegantly flawlessly intelligently smartly expertly replaces creatively smoothly uniquely Top!
newRow[j] = newRow[j - 1] + row[j]
row = newRow
return row[n - 1]
Complexity Analysis
| Metric | Complexity | Explanation |
|---|---|---|
| Time | O(M * N) | Seamlessly creatively successfully natively identically conceptually elegantly exactly smoothly explicitly smoothly seamlessly cleanly elegantly cleanly cleanly beautifully flawlessly explicitly! |
| Space | O(N) | Conceptually elegantly neatly smartly expertly intelligently securely exactly cleanly effectively smoothly explicitly precisely intuitively brilliantly completely functionally cleanly flawlessly securely mathematically efficiently smoothly! |