Why do we start searching from the top-right corner?
Because from the top-right, moving left decreases values and moving down increases values, allowing efficient elimination of rows or columns as shown in steps 1 and 2 of the execution_table.
What happens if the current element is greater than the target?
We move left by decreasing the column index, as seen in steps 1 and 2, because all elements below are larger, so moving down would not help.
Why do we stop when the row or column goes out of bounds?
Because it means we have checked all possible positions without finding the target, so the search ends as per the while loop condition in the code.
Visual Quiz - 3 Questions
Test your understanding
Look at the execution_table, what is the value of 'col' after step 2?
A2
B3
C4
D1
💡 Hint
Check the 'Pointer Changes' and 'Current Position' columns in step 2 of the execution_table.
At which step does the search find the target?
AStep 1
BStep 2
CStep 3
DStep 4
💡 Hint
Look for the row where 'Comparison with Target' shows equality in the execution_table.
If the target was 17 instead of 5, what would be the pointer change after step 1?
AMove left: col = 3
BMove down: row = 1
CFound target
DNo pointer change
💡 Hint
Recall that if current element is less than target, we move down as per the code and concept_flow.
Concept Snapshot
Search in 2D Matrix:
- Start at top-right element (row=0, col=last)
- Compare element with target
- If element > target, move left (col--)
- If element < target, move down (row++)
- Repeat until found or out of bounds
- Efficient for sorted rows and columns
Full Transcript
This concept shows how to search a target value in a 2D matrix where each row and column is sorted. We start from the top-right corner and compare the current element with the target. If the current element is greater, we move left to smaller elements. If it is smaller, we move down to larger elements. We continue this until we find the target or run out of matrix bounds. The execution table traces each step, showing pointer movements and comparisons. This method efficiently narrows down the search space by eliminating rows or columns at each step.