What if you could find any hidden word in a puzzle without guessing blindly?
Why Word Search in Grid Using Backtracking in DSA C++?
Imagine you have a big crossword puzzle printed on paper. You want to find if a certain word is hidden inside it by looking at every letter one by one and trying to guess if the word starts there.
Doing this by hand is slow and tiring. You might miss some letters or paths because the word can be formed by moving in many directions. Checking all possibilities manually is confusing and error-prone.
Backtracking helps by trying one letter at a time and moving forward only if the next letter matches. If it doesn't, it goes back and tries a different path. This way, it explores all possible ways efficiently without repeating work.
for (int i = 0; i < rows; i++) { for (int j = 0; j < cols; j++) { if (grid[i][j] == word[0]) { // Manually check all directions } } }
bool backtrack(int row, int col, int index) {
if (index == word.length()) return true;
if (row < 0 || col < 0 || row >= rows || col >= cols || grid[row][col] != word[index]) return false;
// Mark visited and explore neighbors
return backtrack(row+1, col, index+1) || backtrack(row-1, col, index+1) || backtrack(row, col+1, index+1) || backtrack(row, col-1, index+1) || backtrack(row+1, col+1, index+1) || backtrack(row+1, col-1, index+1) || backtrack(row-1, col+1, index+1) || backtrack(row-1, col-1, index+1);
}It enables finding complex words hidden in grids by exploring all paths smartly without missing any possibility.
Finding words in a word search puzzle game on your phone where words can be hidden horizontally, vertically, or diagonally.
Manual search is slow and error-prone.
Backtracking tries all paths efficiently.
It helps find words hidden in any direction in a grid.
Practice
Word Search in Grid problem?Solution
Step 1: Understand backtracking role
Backtracking tries all possible paths in the grid to find the word by moving in allowed directions and undoing moves if they don't lead to a solution.Step 2: Eliminate other options
Sorting, counting words, or replacing characters are not related to backtracking's purpose in this problem.Final Answer:
To explore all possible paths to find the word in the grid -> Option AQuick Check:
Backtracking = Explore paths [OK]
- Thinking backtracking sorts or modifies the grid
- Confusing backtracking with simple searching
- Ignoring the undo step in backtracking
Solution
Step 1: Understand grid indexing
Grid rows and columns start at 0, so valid indices are from 0 to rows-1 and 0 to cols-1.Step 2: Check boundary condition
if (row >= 0 && row < rows && col >= 0 && col < cols) correctly checks if row and col are within these ranges using && (and) operator.Final Answer:
if (row >= 0 && row < rows && col >= 0 && col < cols) -> Option CQuick Check:
Boundary check = if (row >= 0 && row < rows && col >= 0 && col < cols) [OK]
- Using > 0 instead of >= 0 excludes first row/column
- Using || instead of && allows invalid indices
- Checking only (0,0) cell
char grid[3][3] = {{'A','B','C'},{'D','E','F'},{'G','H','I'}};
string word = "BE";
// Assume function exist: bool exist(char grid[][], string word)
cout << (exist(grid, word) ? "Found" : "Not Found") << endl;Assuming
exist uses backtracking correctly.Solution
Step 1: Analyze grid and word
The grid is:
A B C
D E F
G H I
The word is "BE".Step 2: Check if "BE" can be formed
Starting at 'B' (0,1), next letter 'E' must be adjacent (up, down, left, right). Adjacent cells to 'B' are 'A'(0,0), 'C'(0,2), 'E'(1,1). 'E' is adjacent, so path B->E exists.Step 3: Confirm backtracking finds the word
Backtracking will find "BE" successfully.Final Answer:
Found -> Option AQuick Check:
Word "BE" exists in grid = Found [OK]
- Ignoring adjacency rules
- Assuming diagonal moves allowed (usually not)
- Confusing output with error
bool backtrack(int r, int c, int index) {
if (index == word.length()) return true;
if (r < 0 || r >= rows || c < 0 || c >= cols) return false;
if (grid[r][c] != word[index]) return false;
grid[r][c] = '#';
bool found = backtrack(r+1, c, index+1) || backtrack(r-1, c, index+1) || backtrack(r, c+1, index+1) || backtrack(r, c-1, index+1);
return found;
}Solution
Step 1: Understand backtracking marking
The code marks visited cells by setting grid[r][c] = '#'.Step 2: Check if grid is restored after recursion
After recursive calls, the original character should be restored to allow other paths. This code does not restore it.Step 3: Identify the bug
Missing restoration causes wrong results or blocks other paths.Final Answer:
Missing restoring grid[r][c] after recursion -> Option DQuick Check:
Restore grid after recursion = Fix bug [OK]
- Not restoring visited cells
- Wrong base case logic
- Incorrect boundary conditions
char grid[4][4] = {
{'C','A','T','F'},
{'B','G','E','S'},
{'I','T','A','E'},
{'S','E','R','T'}
};Which of the following words can be found using backtracking moving only up, down, left, or right?
Select the correct option.
Solution
Step 1: Check "CATS"
"CATS" starts at (0,0) 'C', next 'A' at (0,1), next 'T' at (0,2), but no adjacent 'S' to 'T' at (0,2). Adjacent: 'A'(0,1), 'F'(0,3), 'E'(1,2). No path exists.Step 2: Check "TEA"
"TEA" letters: T, E, A.
Possible path: (2,1) 'T' -> (3,1) 'E' -> (2,2) 'A' ? From 'E'(3,1) to 'A'(2,2) is diagonal, invalid.
Try other 'T's: (0,2) 'T' -> (1,2) 'E' down -> (2,2) 'A' down. Valid path.Step 3: Check "FEST" and "BAT"
"FEST" letters not found in order with adjacency.
"BAT" letters: B(1,0), A(2,2), T(0,2) no continuous path.Final Answer:
"TEA" -> Option BQuick Check:
Check adjacency for each word = "TEA" found [OK]
- Assuming diagonal moves allowed
- Not checking letter order carefully
- Ignoring multiple occurrences of letters
Ready to prove it?
Pass the test and this pattern moves unknown
