Unique Paths in Grid DP in DSA Typescript - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the problem statement of the Unique Paths in Grid DP?

Find the number of different ways to move from the top-left corner to the bottom-right corner of a grid, moving only down or right.

beginner

What does the DP state represent in Unique Paths problem?

DP state dp[i][j] represents the number of unique paths to reach cell (i, j) from the start (0, 0).

intermediate

What is the recurrence relation used in Unique Paths DP?

dp[i][j] = dp[i-1][j] + dp[i][j-1], meaning paths to current cell = paths from above + paths from left.

beginner

Why do we initialize the first row and first column with 1 in Unique Paths DP?

Because there is only one way to reach any cell in the first row (all moves right) or first column (all moves down).

advanced

How does Unique Paths DP handle obstacles if added to the grid?

Cells with obstacles have dp[i][j] = 0, meaning no paths go through them; other cells sum paths from neighbors if not blocked.

In Unique Paths DP, what does dp[0][0] represent?

A Number of rows

B No paths available

C Starting point with 1 path

D Number of obstacles

dp[0][0] is the start cell, so it has exactly 1 path to itself.

Which moves are allowed in the Unique Paths grid problem?

A Down and Left

B Up and Left

C Up and Right

D Down and Right

Only moves down or right are allowed to reach the bottom-right corner.

What is the time complexity of the Unique Paths DP solution for an m x n grid?

A O(m + n)

B O(m * n)

C O(m^2 * n^2)

D O(1)

We fill an m by n DP table once, so time complexity is O(m * n).

If dp[i][j] = 0 in Unique Paths with obstacles, what does it mean?

A Cell is unreachable or blocked

B Cell has multiple paths

C Cell is the start

D Cell is the destination

Zero paths means the cell is blocked or no way to reach it.

How do you compute dp[i][j] if there are no obstacles?

A dp[i][j] = dp[i-1][j] + dp[i][j-1]

B dp[i][j] = dp[i-1][j] * dp[i][j-1]

C dp[i][j] = max(dp[i-1][j], dp[i][j-1])

D dp[i][j] = dp[i-1][j] - dp[i][j-1]

Paths to current cell are sum of paths from above and left cells.

Explain how to use dynamic programming to find the number of unique paths in a grid.

Think about how paths build from top-left to bottom-right.

Describe how obstacles affect the Unique Paths DP solution and how to handle them.

Obstacles block paths, so no paths go through those cells.

Practice

1. What does the problem "Unique Paths in Grid DP" typically ask you to find?

easy

A. The number of ways to move from the top-left to the bottom-right corner of a grid using only right and down moves.

B. The shortest path distance between two points in a grid.

C. The maximum sum path in a grid.

D. The number of obstacles in a grid.

Solution

1. Step 1: Understand the problem statement

   The problem asks for counting all possible paths from the top-left corner to the bottom-right corner of a grid, moving only right or down.

2. Step 2: Identify the key movement constraints

   Only moves to the right or down are allowed, so the problem counts unique sequences of these moves.

3. Final Answer:

   The number of ways to move from the top-left to the bottom-right corner of a grid using only right and down moves. -> Option A

4. Quick Check:

   Unique paths = count of right/down moves sequences [OK]

Hint: Count paths by moving only right or down [OK]

Common Mistakes:

• Confusing unique paths with shortest path length
• Including diagonal moves
• Counting obstacles instead of paths

2. Which of the following TypeScript code snippets correctly initializes a 2D DP array for a grid of size m x n filled with zeros?

easy

A. const dp = Array(m).fill(Array(n).fill(0));

B. const dp = Array(m).map(Array(n).fill(0));

C. const dp = new Array(m).map(new Array(n).fill(0));

D. const dp = Array.from({ length: m }, () => Array(n).fill(0));

Solution

1. Step 1: Understand how to create independent rows

   Using Array.from with a mapping function creates new arrays for each row, avoiding shared references.

2. Step 2: Analyze each option

   const dp = Array(m).fill(Array(n).fill(0)); shares the same inner array reference for all rows, causing bugs. Options C and D pass an array (not a function) to .map(), causing TypeError. const dp = Array.from({ length: m }, () => Array(n).fill(0)); correctly creates independent rows filled with zeros.

3. Final Answer:

   const dp = Array.from({ length: m }, () => Array(n).fill(0)); -> Option D

4. Quick Check:

   Use Array.from with a function for 2D arrays [OK]

Hint: Use Array.from with a function to avoid shared references [OK]

Common Mistakes:

• Using fill with a single array causes shared references
• Passing non-function to .map() causes TypeError
• Not initializing inner arrays separately

3. What is the output of the following TypeScript code for a 3x3 grid?

function uniquePaths(m: number, n: number): number {
  const dp = Array.from({ length: m }, () => Array(n).fill(1));
  for (let i = 1; i < m; i++) {
    for (let j = 1; j < n; j++) {
      dp[i][j] = dp[i - 1][j] + dp[i][j - 1];
    }
  }
  return dp[m - 1][n - 1];
}
console.log(uniquePaths(3, 3));

medium

A. 1

B. 3

C. 6

D. 9

Solution

1. Step 1: Initialize dp array with 1s

   Each cell in the first row and first column is 1, representing only one path to those cells.

2. Step 2: Fill dp using sum of top and left cells

   For each cell dp[i][j], sum dp[i-1][j] (top) and dp[i][j-1] (left). For 3x3, dp[2][2] = 6.

3. Final Answer:

   6 -> Option C

4. Quick Check:

   Unique paths in 3x3 grid = 6 [OK]

Hint: Sum paths from top and left cells to fill dp [OK]

Common Mistakes:

• Starting loops from 0 instead of 1
• Not initializing first row and column to 1
• Returning wrong dp cell

4. Identify the bug in this TypeScript code for unique paths and select the fix:

function uniquePaths(m: number, n: number): number {
  const dp = Array.from({ length: m }, () => Array(n).fill(0));
  for (let i = 0; i < m; i++) dp[i][0] = 1;
  for (let j = 0; j < n; j++) dp[0][j] = 1;
  for (let i = 1; i < m; i++) {
    for (let j = 1; j < n; j++) {
      dp[i][j] = dp[i - 1][j] * dp[i][j - 1];
    }
  }
  return dp[m - 1][n - 1];
}

medium

A. Change multiplication (*) to addition (+) in dp update.

B. Initialize dp with 1s instead of 0s.

C. Start loops from 0 instead of 1.

D. Return dp[0][0] instead of dp[m-1][n-1].

Solution

1. Step 1: Identify the dp update formula

   The code uses multiplication (*) to combine paths, which is incorrect because paths add up, not multiply.

2. Step 2: Correct the dp update to addition

   Replace dp[i - 1][j] * dp[i][j - 1] with dp[i - 1][j] + dp[i][j - 1] to sum paths from top and left.

3. Final Answer:

   Change multiplication (*) to addition (+) in dp update. -> Option A

4. Quick Check:

   Paths combine by addition, not multiplication [OK]

Hint: Sum top and left dp cells, don't multiply [OK]

Common Mistakes:

• Using multiplication instead of addition
• Incorrect dp initialization
• Wrong loop start indices

5. Given a grid with obstacles represented by 1s and empty spaces by 0s, how would you modify the unique paths DP solution to count paths avoiding obstacles?

const grid = [
  [0,0,0],
  [0,1,0],
  [0,0,0]
];

hard

A. Ignore obstacles and calculate paths normally.

B. Set dp[i][j] = 0 if grid[i][j] is 1; else dp[i][j] = dp[i-1][j] + dp[i][j-1].

C. Set dp[i][j] = 1 if grid[i][j] is 1; else 0.

D. Multiply dp[i-1][j] and dp[i][j-1] regardless of obstacles.

Solution

1. Step 1: Mark obstacle cells as unreachable

   If grid[i][j] is 1 (obstacle), set dp[i][j] = 0 to block paths through it.

2. Step 2: Calculate dp for free cells

   For cells without obstacles, dp[i][j] = dp[i-1][j] + dp[i][j-1], summing paths from top and left.

3. Final Answer:

   Set dp[i][j] = 0 if grid[i][j] is 1; else dp[i][j] = dp[i-1][j] + dp[i][j-1]. -> Option B

4. Quick Check:

   Obstacles block paths by setting dp to zero [OK]

Hint: Set dp to zero on obstacles, sum paths otherwise [OK]

Common Mistakes:

• Ignoring obstacles in dp calculation
• Setting dp to 1 on obstacles
• Multiplying paths instead of adding