Search in a row wise and column wise sorted matrix

Last Updated : 14 Jul, 2026

Given a 2D integer matrix mat[][] of size n x m, where every row and column is sorted in increasing order and a number x, return true if the element x is present in the matrix. Otherwise, return false.

Examples: 

Input: x = 62, mat[][] = [[3, 30, 38], [20, 52, 54], [35, 60, 69]]
Output: false
Explanation: 62 is not present in the matrix.

Input: x = 55, mat[][] = [[18, 21, 27], [38, 55, 67]]
Output: true
Explanation: mat[1][1] is equal to 55.

Input: x = 35, mat[][] = [[3, 30, 38], [20, 52, 54], [35, 60, 69]]
Output: true
Explanation: mat[2][0] is equal to 35.

Try It Yourself
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[Naive Approach] Comparing with all elements - O(n*m) Time and O(1) Space

The simple idea is to traverse the complete matrix and search for the target element. If the target element is found, return true. Otherwise, return false.

C++
#include <iostream>
#include <vector>

using namespace std;

bool matSearch(vector<vector<int>> &mat, int x) {
    int n = mat.size(), m = mat[0].size();
  
    // Iterate over all the elements to find x
	for(int i = 0; i < n; i++) {
    	for(int j = 0; j < m; j++) {
        	if(mat[i][j] == x)
                return true;
        }
    }
  
    // If x was not found, return false
    return false;
}

int main() {
    vector<vector<int>> mat = {{3, 30, 38},
                               {20, 52, 54},
                               {35, 60, 69}};
    int x = 35;
    if(matSearch(mat, x)) 
        cout << "true";
    else 
        cout << "false";
    return 0;
}
Java
class GFG {
    static boolean matSearch(int[][] mat, int x)
    {
        int n = mat.length, m = mat[0].length;

        for (int i = 0; i < n; i++) {
            for (int j = 0; j < m; j++) {
                if (mat[i][j] == x)
                    return true;
            }
        }

        // If x was not found, return false
        return false;
    }

    public static void main(String[] args)
    {
        int[][] mat = { { 3, 30, 38 },
                        { 20, 52, 54 },
                        { 35, 60, 69 } };
        int x = 35;

        if (matSearch(mat, x))
            System.out.println("true");
        else
            System.out.println("false");
    }
}
Python
def matSearch(mat, x):
    n = len(mat)
    m = len(mat[0])
  
    for i in range(n):
        for j in range(m):
            if mat[i][j] == x:
                return True
  
    # If x was not found, return false
    return False

if __name__ == "__main__":
    mat = [[3, 30, 38],
		   [20, 52, 54],
           [35, 60, 69]]
    x = 35
    if matSearch(mat, x):
        print("true")
    else:
        print("false")
C#
using System;

class GfG {
    static bool matSearch(int[, ] mat, int x)
    {
        int n = mat.GetLength(0), m = mat.GetLength(1);

        for (int i = 0; i < n; i++) {
            for (int j = 0; j < m; j++) {
                if (mat[i, j] == x)
                    return true;
            }
        }

        // If x was not found, return false
        return false;
    }

    static void Main()
    {
        int[, ] mat = { { 3, 30, 38 },
                        { 20, 52, 54 },
                        { 35, 60, 69 } };
        int x = 35;

        if (matSearch(mat, x))
            Console.WriteLine("true");
        else
            Console.WriteLine("false");
    }
}
JavaScript
function matSearch(mat, x)
{
    const n = mat.length, m = mat[0].length;

    for (let i = 0; i < n; i++) {
        for (let j = 0; j < m; j++) {
            if (mat[i][j] === x)
                return true;
        }
    }

    // If x was not found, return false
    return false;
}

// Driver Code
const mat =
    [ [ 3, 30, 38 ], [ 20, 52, 54 ], [ 35, 60, 69 ] ];
const x = 35;

if (matSearch(mat, x))
    console.log("true");
else
    console.log("false");

Output
true

[Better Approach] Binary Search - O(n*logm) Time and O(1) Space

To optimize the above approach we are going to use the Binary Search algorithm.
The problem specifies that each row in the given matrix is sorted in ascending order. Instead of searching each column sequentially, we can efficiently apply Binary Search on each row to determine if the target is present.

C++
#include <iostream>
#include <vector>

using namespace std;

bool binarySearch(vector<int> &mat, int target) {
    int n = mat.size();
    int low = 0, high = n - 1;

    // Standard binary search algorithm
    while (low <= high) {
        int mid = (low + high) / 2;
        
        // Element found
        if (mat[mid] == target) 
            return true;  
            
        // Search in the right half
        else if (target > mat[mid]) 
            low = mid + 1; 
            
        // Search in the left half
        else 
            high = mid - 1; 
    }
    
    // Element not found
    return false;  
}

bool matSearch(vector<vector<int>> &mat, int x) {
    int n = mat.size();

    // Iterate over each row and perform binary search
    for (int i = 0; i < n; i++) {
        if (binarySearch(mat[i], x)) 
        
            // Element found in one of the rows
            return true;  
    }
    
    // Element not found in any row
    return false;  
}

int main() {
    vector<vector<int>> mat = {{3, 30, 38},
                               {20, 52, 54},
                               {35, 60, 69}};
    int x = 35;
    if(matSearch(mat, x)) 
        cout << "true";
    else 
        cout << "false";
    return 0;
}
Java
public class Main {
    public static boolean binarySearch(int[] mat,
                                       int target)
    {
        int n = mat.length;
        int low = 0, high = n - 1;

        // Standard binary search algorithm
        while (low <= high) {
            int mid = (low + high) / 2;

            // Element found
            if (mat[mid] == target)
                return true;

            // Search in the right half
            else if (target > mat[mid])
                low = mid + 1;

            // Search in the left half
            else
                high = mid - 1;
        }

        // Element not found
        return false;
    }

    public static boolean matSearch(int[][] mat, int x)
    {
        int n = mat.length;

        // Iterate over each row and perform binary search
        for (int i = 0; i < n; i++) {
            if (binarySearch(mat[i], x))

                // Element found in one of the rows
                return true;
        }

        // Element not found in any row
        return false;
    }

    public static void main(String[] args)
    {
        int[][] mat = { { 3, 30, 38 },
                        { 20, 52, 54 },
                        { 35, 60, 69 } };

        int x = 35;

        if (matSearch(mat, x))
            System.out.println("true");
        else
            System.out.println("false");
    }
}
Python
def binarySearch(mat, target):
    n = len(mat)
    low, high = 0, n - 1

    # Standard binary search algorithm
    while low <= high:
        mid = (low + high) // 2

        # Element found
        if mat[mid] == target:
            return True

        # Search in the right half
        elif target > mat[mid]:
            low = mid + 1

        # Search in the left half
        else:
            high = mid - 1

    # Element not found
    return False


def matSearch(mat, x):
    n = len(mat)

    # Iterate over each row and perform binary search
    for i in range(n):
        if binarySearch(mat[i], x):
            # Element found in one of the rows
            return True

    # Element not found in any row
    return False


if __name__ == "__main__":
    mat = [
        [3, 30, 38],
        [20, 52, 54],
        [35, 60, 69]
    ]
    x = 35
    if matSearch(mat, x):
        print("true")
    else:
        print("false")
C#
using System;

public class MainClass {
    public static bool binarySearch(int[,] mat, int row, int target)
    {
        int n = mat.GetLength(1);
        int low = 0, high = n - 1;

        // Standard binary search algorithm
        while (low <= high) {
            int mid = (low + high) / 2;

            // Element found
            if (mat[row, mid] == target)
                return true;

            // Search in the right half
            else if (target > mat[row, mid])
                low = mid + 1;

            // Search in the left half
            else
                high = mid - 1;
        }

        // Element not found
        return false;
    }

    public static bool matSearch(int[,] mat, int x)
    {
        int n = mat.GetLength(0);

        // Iterate over each row and perform binary search
        for (int i = 0; i < n; i++) {
            if (binarySearch(mat, i, x))

                // Element found in one of the rows
                return true;
        }

        // Element not found in any row
        return false;
    }

    public static void Main(string[] args)
    {
        int[,] mat = new int[,] { { 3, 30, 38 },
                                  { 20, 52, 54 },
                                  { 35, 60, 69 } };

        int x = 35;

        if (matSearch(mat, x))
            Console.WriteLine("true");
        else
            Console.WriteLine("false");
    }
}
JavaScript
function binarySearch(mat, target)
{
    let n = mat.length;
    let low = 0, high = n - 1;

    // Standard binary search algorithm
    while (low <= high) {
        let mid = Math.floor((low + high) / 2);

        // Element found
        if (mat[mid] === target)
            return true;

        // Search in the right half
        else if (target > mat[mid])
            low = mid + 1;

        // Search in the left half
        else
            high = mid - 1;
    }

    // Element not found
    return false;
}

function matSearch(mat, x)
{
    let n = mat.length;

    // Iterate over each row and perform binary search
    for (let i = 0; i < n; i++) {
        if (binarySearch(mat[i], x))

            // Element found in one of the rows
            return true;
    }

    // Element not found in any row
    return false;
}

let mat = [ [ 3, 30, 38 ], [ 20, 52, 54 ], [ 35, 60, 69 ] ];
let x = 35;
if (matSearch(mat, x))
    console.log("true");
else
    console.log("false");

Output
true

[Expected Approach] Eliminating rows or columns - O(n + m) Time and O(1) Space

The idea is to remove a row or column in each comparison until an element is found. Start searching from the top-right corner of the matrix. There are 3 possible cases:

x is greater than the current element: This ensures that all the elements in the current row are smaller than the given number as the pointer is already at the right-most element and the row is sorted. Thus, the entire row gets eliminated and continues the search from the next row.

x is smaller than the current element: This ensures that all the elements in the current column are greater than the given number. Thus, the entire column gets eliminated and continues the search from the previous column, i.e. the column on the immediate left.

The given number is equal to the current number: This will end the search.


C++
#include <iostream>
#include <vector>

using namespace std;

bool matSearch(vector<vector<int>> &mat, int x) {
    int n = mat.size(), m = mat[0].size();
    int i = 0, j = m - 1;
  
    while(i < n && j >= 0) {
      
        // If x > mat[i][j], then x will be greater
        // than all elements to the left of 
        // mat[i][j] in row i, so increment i
    	if(x > mat[i][j]) {
        	i++;
        }
      
        // If x < mat[i][j], then x will be smaller
        // than all elements to the bottom of
        // mat[i][j] in column j, so decrement j
        else if(x < mat[i][j]) {
        	j--;
        }
      
        // If x = mat[i][j], return true
        else {
            return true;
        }
    }
  
    // If x was not found, return false
    return false;
}

int main() {
    vector<vector<int>> mat = {{3, 30, 38},
                               {20, 52, 54},
                               {35, 60, 69}};
    int x = 35;
    if(matSearch(mat, x)) 
        cout << "true";
    else 
        cout << "false";
    return 0;
}
Java
import java.util.*;

class GFG {
    static boolean matSearch(int[][] mat, int x)
    {
        int n = mat.length, m = mat[0].length;
        int i = 0, j = m - 1;

        while (i < n && j >= 0) {

            // If x > mat[i][j], then x will be greater
            // than all elements to the left of
            // mat[i][j] in row i, so increment i
            if (x > mat[i][j]) {
                i++;
            }

            // If x < mat[i][j], then x will be smaller
            // than all elements to the bottom of
            // mat[i][j] in column j, so decrement j
            else if (x < mat[i][j]) {
                j--;
            }

            // If x = mat[i][j], return true
            else {
                return true;
            }
        }

        // If x was not found, return false
        return false;
    }

    public static void main(String[] args)
    {
        int[][] mat = { { 3, 30, 38 },
                        { 20, 52, 54 },
                        { 35, 60, 69 } };
        int x = 35;

        if (matSearch(mat, x))
            System.out.println("true");
        else
            System.out.println("false");
    }
}
Python
def matSearch(mat, x):
    n = len(mat)
    m = len(mat[0])
    i = 0
    j = m - 1

    while i < n and j >= 0:

        # If x > mat[i][j], then x will be greater
        # than all elements to the left of
        # mat[i][j] in row i, so increment i
        if x > mat[i][j]:
            i += 1

        # If x < mat[i][j], then x will be smaller
        # than all elements to the bottom of
        # mat[i][j] in column j, so decrement j
        elif x < mat[i][j]:
            j -= 1

        # If x = mat[i][j], return true
        else:
            return True

    # If x was not found, return false
    return False


if __name__ == "__main__":
    mat = [
        [3, 30, 38],
        [20, 52, 54],
        [35, 60, 69]
    ]
    x = 35
    if matSearch(mat, x):
        print("true")
    else:
        print("false")
C#
using System;

class GfG {
    static bool matSearch(int[, ] mat, int x)
    {
        int n = mat.GetLength(0), m = mat.GetLength(1);
        int i = 0, j = m - 1;

        while (i < n && j >= 0) {

            // If x > mat[i, j], then x will be greater
            // than all elements to the left of
            // mat[i, j] in row i, so increment i
            if (x > mat[i, j]) {
                i++;
            }

            // If x < mat[i, j], then x will be smaller
            // than all elements to the bottom of
            // mat[i, j] in column j, so decrement j
            else if (x < mat[i, j]) {
                j--;
            }

            // If x = mat[i, j], return true
            else {
                return true;
            }
        }

        // If x was not found, return false
        return false;
    }

    static void Main()
    {
        int[, ] mat = { { 3, 30, 38 },
                        { 20, 52, 54 },
                        { 35, 60, 69 } };
        int x = 35;

        if (matSearch(mat, x))
            Console.WriteLine("true");
        else
            Console.WriteLine("false");
    }
}
JavaScript
function matSearch(mat, x)
{
    let n = mat.length, m = mat[0].length;
    let i = 0, j = m - 1;

    while (i < n && j >= 0) {

        // If x > mat[i][j], then x will be greater
        // than all elements to the left of
        // mat[i][j] in row i, so increment i
        if (x > mat[i][j]) {
            i++;
        }

        // If x < mat[i][j], then x will be smaller
        // than all elements to the bottom of
        // mat[i][j] in column j, so decrement j
        else if (x < mat[i][j]) {
            j--;
        }

        // If x = mat[i][j], return true
        else {
            return true;
        }
    }

    // If x was not found, return false
    return false;
}

// Driver Code
let mat = [ [ 3, 30, 38 ], [ 20, 52, 54 ], [ 35, 60, 69 ] ];
let x = 35;

if (matSearch(mat, x))
    console.log("true");
else
    console.log("false");

Output
true
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