Set Matrix Zeroes In Place in DSA C - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main goal of the "Set Matrix Zeroes In Place" problem?

To modify a given matrix so that if an element is 0, its entire row and column are set to 0, without using extra space for another matrix.

intermediate

Why do we use the first row and first column of the matrix as markers in the in-place solution?

Because using the first row and column as markers helps track which rows and columns should be zeroed without extra space, saving memory.

intermediate

In the in-place approach, how do we handle the first row and first column separately?

We use separate boolean flags to remember if the first row or first column originally had any zeroes, so we can zero them at the end if needed.

beginner

What is the time complexity of the in-place solution for setting matrix zeroes?

The time complexity is O(m * n), where m is the number of rows and n is the number of columns, because we scan the matrix multiple times but each scan is linear.

beginner

What is the space complexity of the in-place solution for the Set Matrix Zeroes problem?

The space complexity is O(1) because no extra matrix or arrays are used; only a few variables for flags are needed.

In the in-place solution, which part of the matrix is used to mark rows and columns to be zeroed?

A First row and first column

B Last row and last column

C A separate matrix

D Random cells

The first row and first column are used as markers to indicate which rows and columns should be zeroed.

What do you do if the first row contains a zero in the original matrix?

A Ignore it

B Immediately zero the first row

C Set a flag to zero the entire first row later

D Use a separate matrix to track it

We set a flag to remember to zero the first row after processing the rest of the matrix.

What is the main reason to avoid using extra space in this problem?

A To reduce time complexity

B To make code longer

C To avoid using loops

D To reduce space complexity and save memory

Avoiding extra space reduces memory usage, making the solution more efficient.

After marking rows and columns, when do you set the zeroes in the matrix?

A After marking all rows and columns

B During marking

C Never

D Before marking

Zeroing happens after all markers are set to avoid overwriting markers prematurely.

What is the space complexity of the in-place Set Matrix Zeroes solution?

A O(m+n)

B O(1)

C O(m*n)

D O(log n)

The in-place solution uses constant extra space, O(1), only a few variables for flags.

Explain step-by-step how to set matrix zeroes in place without extra space.

Think about how to remember which rows and columns to zero using the matrix itself.

Why is it important to handle the first row and first column separately in the in-place solution?

Consider what would happen if you zero them too early.

Practice

1. What is the main goal of the Set Matrix Zeroes In Place problem?

easy

A. Count the number of zero elements in the matrix.

B. Find the sum of all elements in the matrix.

C. Modify the matrix so that if an element is 0, its entire row and column become 0 without using extra space.

D. Sort each row of the matrix in ascending order.

Solution

1. Step 1: Understand the problem requirement

   The problem asks to change the matrix so that any row or column containing a zero should be set entirely to zero.

2. Step 2: Note the constraint of in-place modification

   The matrix must be modified without using extra space for another matrix or large data structures.

3. Final Answer:

   Modify the matrix so that if an element is 0, its entire row and column become 0 without using extra space. -> Option C

4. Quick Check:

   Set matrix zeroes in place = Modify matrix rows and columns with zeros [OK]

Hint: Remember: zero means zero entire row and column [OK]

Common Mistakes:

• Using extra space like another matrix
• Only zeroing rows or only columns
• Not modifying the matrix in place

2. Which of the following C code snippets correctly declares a 3x3 matrix to be used for the Set Matrix Zeroes problem?

easy

A. int matrix[3][3] = {{1,2,3},{4,5,6},{7,8,9}};

B. int matrix[3] = {1,2,3,4,5,6,7,8,9};

C. int matrix[][] = {{1,2,3},{4,5,6},{7,8,9}};

D. int matrix[3][3] = {1,2,3,4,5,6,7,8};

Solution

1. Step 1: Check correct 2D array declaration syntax in C

   In C, a 2D array must have fixed sizes for both dimensions, and initialization uses nested braces.

2. Step 2: Validate each option

   int matrix[3][3] = {{1,2,3},{4,5,6},{7,8,9}}; correctly declares and initializes a 3x3 matrix. int matrix[3] = {1,2,3,4,5,6,7,8,9}; is a 1D array with too many elements. int matrix[][] = {{1,2,3},{4,5,6},{7,8,9}}; misses size for second dimension. int matrix[3][3] = {1,2,3,4,5,6,7,8}; has too few initializers (matrix[2][2] uninitialized).

3. Final Answer:

   int matrix[3][3] = {{1,2,3},{4,5,6},{7,8,9}}; -> Option A

4. Quick Check:

   Correct 2D array syntax = int matrix[3][3] = {{1,2,3},{4,5,6},{7,8,9}}; [OK]

Hint: Use nested braces for 2D array initialization [OK]

Common Mistakes:

• Missing size for second dimension
• Using 1D array for 2D data
• Incorrect initializer braces

3. What will be the matrix after running the in-place zeroing algorithm on this 3x3 matrix?

int matrix[3][3] = {
  {1, 0, 3},
  {4, 5, 6},
  {7, 8, 9}
};

medium

A. [[1, 0, 3], [4, 5, 6], [7, 8, 9]]

B. [[0, 0, 0], [4, 0, 6], [7, 0, 9]]

C. [[0, 0, 0], [0, 0, 0], [7, 0, 9]]

D. [[0, 0, 0], [4, 5, 6], [0, 0, 0]]

Solution

1. Step 1: Identify zero positions in original matrix

   Zero is at position (0,1). So row 0 and column 1 must be zeroed.

2. Step 2: Set entire row 0 and column 1 to zero

   Row 0 becomes [0,0,0]. Column 1 elements at rows 1 and 2 become 0, so matrix[1][1]=0 and matrix[2][1]=0.

3. Final Answer:

   [[0, 0, 0], [4, 0, 6], [7, 0, 9]] -> Option B

4. Quick Check:

   Zero at (0,1) zeroes row 0 and col 1 = [[0, 0, 0], [4, 0, 6], [7, 0, 9]] [OK]

Hint: Zero row and column of each zero element [OK]

Common Mistakes:

• Zeroing entire matrix
• Missing zeroing column elements
• Not zeroing row elements

4. Consider this code snippet for setting matrix zeroes in place. What is the main bug?

void setZeroes(int matrix[3][3]) {
  int i, j;
  for(i=0; i<3; i++) {
    for(j=0; j<3; j++) {
      if(matrix[i][j] == 0) {
        for(int k=0; k<3; k++) {
          matrix[i][k] = 0;
          matrix[k][j] = 0;
        }
      }
    }
  }
}

medium

A. It uses wrong loop bounds causing out-of-bounds access.

B. It does not check for zeros at all.

C. It uses extra space which is not allowed.

D. It modifies zeros immediately causing cascading zeroing and incorrect results.

Solution

1. Step 1: Analyze immediate zeroing inside nested loops

   The code sets zeros immediately when it finds a zero, which changes matrix during iteration.

2. Step 2: Understand cascading zeroing problem

   New zeros created cause further zeroing in the same pass, leading to incorrect results.

3. Final Answer:

   It modifies zeros immediately causing cascading zeroing and incorrect results. -> Option D

4. Quick Check:

   Immediate zeroing causes cascading errors = It modifies zeros immediately causing cascading zeroing and incorrect results. [OK]

Hint: Mark zeros first, then update matrix after [OK]

Common Mistakes:

• Zeroing matrix while scanning
• Not separating marking and updating steps
• Assuming immediate zeroing is safe

5. Given a 4x4 matrix:

int matrix[4][4] = {
  {1, 2, 3, 4},
  {5, 0, 7, 8},
  {9, 10, 11, 12},
  {0, 14, 15, 16}
};

Which is the correct matrix after applying the optimal in-place zeroing algorithm using first row and column as markers?

hard

A. [[0, 0, 3, 4], [0, 0, 0, 0], [0, 0, 11, 12], [0, 0, 0, 0]]

B. [[1, 0, 3, 4], [0, 0, 0, 0], [9, 0, 11, 12], [0, 0, 0, 0]]

C. [[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]]

D. [[1, 2, 3, 4], [5, 0, 7, 8], [9, 10, 11, 12], [0, 14, 15, 16]]

Solution

1. Step 1: Identify zero positions

   Zeros at (1,1) and (3,0).

2. Step 2: Determine first row and first column zero flags

   First row: no zeros (firstRowZero = false). First column: zero at (3,0) (firstColZero = true).

3. Step 3: Mark zeros using first row and column (inner matrix)

   Scan i=1 to 3, j=1 to 3: (1,1)=0 sets matrix[1][0]=0, matrix[0][1]=0.

4. Step 4: Zero inner matrix using marks

   For i=1 to 3, j=1 to 3: if matrix[i][0]==0 or matrix[0][j]==0, set matrix[i][j]=0. Zeros row 1 (mark at [1][0]), col 1 (mark at [0][1]), row 3 (orig [3][0]=0).

5. Step 5: Apply flags to borders

   First row unchanged (false). First col all zeroed (true): matrix[0][0]=0, matrix[2][0]=0 (among others).

6. Final Answer:

   [[0, 0, 3, 4], [0, 0, 0, 0], [0, 0, 11, 12], [0, 0, 0, 0]] -> Option A

7. Quick Check:

   Zeros at (1,1),(3,0) zero rows 1&3, cols 0&1 = [[0, 0, 3, 4], [0, 0, 0, 0], [0, 0, 11, 12], [0, 0, 0, 0]] [OK]

Hint: Use first row/column as zero markers to save space [OK]

Common Mistakes:

• Zeroing entire first row or column incorrectly
• Not marking zeros properly
• Overwriting markers too early