Given an array arr[] of integers and a number x, the task is to find the smallest subarray with a sum greater than the given value.
Examples:
arr[] = {1, 4, 45, 6, 0, 19}
x = 51
Output: 3
Minimum length subarray is {4, 45, 6}
arr[] = {1, 10, 5, 2, 7}
x = 9
Output: 1
Minimum length subarray is {10}
arr[] = {1, 11, 100, 1, 0, 200, 3, 2, 1, 250}
x = 280
Output: 4
Minimum length subarray is {100, 1, 0, 200}
arr[] = {1, 2, 4}
x = 8
Output : Not Possible
Whole array sum is smaller than 8.
Naive approach: A simple solution is to use two nested loops. The outer loop picks a starting element, the inner loop considers all elements (on right side of current start) as ending element. Whenever sum of elements between current start and end becomes more than the given number, update the result if current length is smaller than the smallest length so far.
Below is the implementation of the above approach:
# include <iostream> using namespace std;
// Returns length of smallest subarray with sum greater than x. // If there is no subarray with given sum, then returns n+1 int smallestSubWithSum( int arr[], int n, int x)
{ // Initialize length of smallest subarray as n+1
int min_len = n + 1;
// Pick every element as starting point
for ( int start=0; start<n; start++)
{
// Initialize sum starting with current start
int curr_sum = arr[start];
// If first element itself is greater
if (curr_sum > x) return 1;
// Try different ending points for current start
for ( int end=start+1; end<n; end++)
{
// add last element to current sum
curr_sum += arr[end];
// If sum becomes more than x and length of
// this subarray is smaller than current smallest
// length, update the smallest length (or result)
if (curr_sum > x && (end - start + 1) < min_len)
min_len = (end - start + 1);
}
}
return min_len;
} /* Driver program to test above function */ int main()
{ int arr1[] = {1, 4, 45, 6, 10, 19};
int x = 51;
int n1 = sizeof (arr1)/ sizeof (arr1[0]);
int res1 = smallestSubWithSum(arr1, n1, x);
(res1 == n1+1)? cout << "Not possible\n" :
cout << res1 << endl;
int arr2[] = {1, 10, 5, 2, 7};
int n2 = sizeof (arr2)/ sizeof (arr2[0]);
x = 9;
int res2 = smallestSubWithSum(arr2, n2, x);
(res2 == n2+1)? cout << "Not possible\n" :
cout << res2 << endl;
int arr3[] = {1, 11, 100, 1, 0, 200, 3, 2, 1, 250};
int n3 = sizeof (arr3)/ sizeof (arr3[0]);
x = 280;
int res3 = smallestSubWithSum(arr3, n3, x);
(res3 == n3+1)? cout << "Not possible\n" :
cout << res3 << endl;
return 0;
} |
import java.io.*;
class SmallestSubArraySum
{ // Returns length of smallest subarray with sum greater than x.
// If there is no subarray with given sum, then returns n+1
static int smallestSubWithSum( int arr[], int n, int x)
{
// Initialize length of smallest subarray as n+1
int min_len = n + 1 ;
// Pick every element as starting point
for ( int start = 0 ; start < n; start++)
{
// Initialize sum starting with current start
int curr_sum = arr[start];
// If first element itself is greater
if (curr_sum > x)
return 1 ;
// Try different ending points for current start
for ( int end = start + 1 ; end < n; end++)
{
// add last element to current sum
curr_sum += arr[end];
// If sum becomes more than x and length of
// this subarray is smaller than current smallest
// length, update the smallest length (or result)
if (curr_sum > x && (end - start + 1 ) < min_len)
min_len = (end - start + 1 );
}
}
return min_len;
}
// Driver program to test above functions
public static void main(String[] args)
{
int arr1[] = { 1 , 4 , 45 , 6 , 10 , 19 };
int x = 51 ;
int n1 = arr1.length;
int res1 = smallestSubWithSum(arr1, n1, x);
if (res1 == n1+ 1 )
System.out.println( "Not Possible" );
else
System.out.println(res1);
int arr2[] = { 1 , 10 , 5 , 2 , 7 };
int n2 = arr2.length;
x = 9 ;
int res2 = smallestSubWithSum(arr2, n2, x);
if (res2 == n2+ 1 )
System.out.println( "Not Possible" );
else
System.out.println(res2);
int arr3[] = { 1 , 11 , 100 , 1 , 0 , 200 , 3 , 2 , 1 , 250 };
int n3 = arr3.length;
x = 280 ;
int res3 = smallestSubWithSum(arr3, n3, x);
if (res3 == n3+ 1 )
System.out.println( "Not Possible" );
else
System.out.println(res3);
}
} // This code has been contributed by Mayank Jaiswal |
# Python3 program to find Smallest # subarray with sum greater # than a given value # Returns length of smallest subarray # with sum greater than x. If there # is no subarray with given sum, # then returns n+1 def smallestSubWithSum(arr, n, x):
# Initialize length of smallest
# subarray as n+1
min_len = n + 1
# Pick every element as starting point
for start in range ( 0 ,n):
# Initialize sum starting
# with current start
curr_sum = arr[start]
# If first element itself is greater
if (curr_sum > x):
return 1
# Try different ending points
# for current start
for end in range (start + 1 ,n):
# add last element to current sum
curr_sum + = arr[end]
# If sum becomes more than x
# and length of this subarray
# is smaller than current smallest
# length, update the smallest
# length (or result)
if curr_sum > x and (end - start + 1 ) < min_len:
min_len = (end - start + 1 )
return min_len;
# Driver program to test above function */ arr1 = [ 1 , 4 , 45 , 6 , 10 , 19 ]
x = 51
n1 = len (arr1)
res1 = smallestSubWithSum(arr1, n1, x);
if res1 = = n1 + 1 :
print ( "Not possible" )
else :
print (res1)
arr2 = [ 1 , 10 , 5 , 2 , 7 ]
n2 = len (arr2)
x = 9
res2 = smallestSubWithSum(arr2, n2, x);
if res2 = = n2 + 1 :
print ( "Not possible" )
else :
print (res2)
arr3 = [ 1 , 11 , 100 , 1 , 0 , 200 , 3 , 2 , 1 , 250 ]
n3 = len (arr3)
x = 280
res3 = smallestSubWithSum(arr3, n3, x)
if res3 = = n3 + 1 :
print ( "Not possible" )
else :
print (res3)
# This code is contributed by Smitha Dinesh Semwal |
// C# program to find Smallest // subarray with sum greater // than a given value using System;
class GFG
{ // Returns length of smallest
// subarray with sum greater
// than x. If there is no
// subarray with given sum,
// then returns n+1
static int smallestSubWithSum( int []arr,
int n, int x)
{
// Initialize length of
// smallest subarray as n+1
int min_len = n + 1;
// Pick every element
// as starting point
for ( int start = 0; start < n; start++)
{
// Initialize sum starting
// with current start
int curr_sum = arr[start];
// If first element
// itself is greater
if (curr_sum > x)
return 1;
// Try different ending
// points for current start
for ( int end = start + 1;
end < n; end++)
{
// add last element
// to current sum
curr_sum += arr[end];
// If sum becomes more than
// x and length of this
// subarray is smaller than
// current smallest length,
// update the smallest
// length (or result)
if (curr_sum > x &&
(end - start + 1) < min_len)
min_len = (end - start + 1);
}
}
return min_len;
}
// Driver Code
static public void Main ()
{
int []arr1 = {1, 4, 45,
6, 10, 19};
int x = 51;
int n1 = arr1.Length;
int res1 = smallestSubWithSum(arr1,
n1, x);
if (res1 == n1 + 1)
Console.WriteLine( "Not Possible" );
else
Console.WriteLine(res1);
int []arr2 = {1, 10, 5, 2, 7};
int n2 = arr2.Length;
x = 9;
int res2 = smallestSubWithSum(arr2,
n2, x);
if (res2 == n2 + 1)
Console.WriteLine( "Not Possible" );
else
Console.WriteLine(res2);
int []arr3 = {1, 11, 100, 1, 0,
200, 3, 2, 1, 250};
int n3 = arr3.Length;
x = 280;
int res3 = smallestSubWithSum(arr3,
n3, x);
if (res3 == n3 + 1)
Console.WriteLine( "Not Possible" );
else
Console.WriteLine(res3);
}
} // This code is contributed by ajit |
<script> // Returns length of smallest subarray with sum greater than x. // If there is no subarray with given sum, then returns n+1 function smallestSubWithSum(arr, n, x)
{ // Initialize length of smallest subarray as n+1
let min_len = n + 1;
// Pick every element as starting point
for (let start=0; start<n; start++)
{
// Initialize sum starting with current start
let curr_sum = arr[start];
// If first element itself is greater
if (curr_sum > x) return 1;
// Try different ending points for current start
for (let end=start+1; end<n; end++)
{
// add last element to current sum
curr_sum += arr[end];
// If sum becomes more than x and length of
// this subarray is smaller than current smallest
// length, update the smallest length (or result)
if (curr_sum > x && (end - start + 1) < min_len)
min_len = (end - start + 1);
}
}
return min_len;
} /* Driver program to test above function */ let arr1 = [1, 4, 45, 6, 10, 19];
let x = 51;
let n1 = arr1.length;
let res1 = smallestSubWithSum(arr1, n1, x);
(res1 == n1 + 1)? document.write( "Not possible<br>" ) :
document.write(res1 + "<br>" );
let arr2 = [1, 10, 5, 2, 7];
let n2 = arr2.length;
x = 9;
let res2 = smallestSubWithSum(arr2, n2, x);
(res2 == n2 + 1)? document.write( "Not possible<br>" ) :
document.write(res2 + "<br>" );
let arr3 = [1, 11, 100, 1, 0, 200, 3, 2, 1, 250];
let n3 = arr3.length;
x = 280;
let res3 = smallestSubWithSum(arr3, n3, x);
(res3 == n3 + 1)? document.write( "Not possible<br>" ) :
document.write(res3 + "<br>" );
// This code is contributed by Surbhi Tyagi. </script> |
<?php // Returns length of smallest // subarray with sum greater // than x. If there is no // subarray with given sum, // then returns n+1 function smallestSubWithSum( $arr , $n , $x )
{ // Initialize length of
// smallest subarray as n+1
$min_len = $n + 1;
// Pick every element
// as starting point
for ( $start = 0; $start < $n ; $start ++)
{
// Initialize sum starting
// with current start
$curr_sum = $arr [ $start ];
// If first element
// itself is greater
if ( $curr_sum > $x ) return 1;
// Try different ending
// points for current start
for ( $end = $start + 1; $end < $n ; $end ++)
{
// add last element
// to current sum
$curr_sum += $arr [ $end ];
// If sum becomes more than
// x and length of this subarray
// is smaller than current
// smallest length, update the
// smallest length (or result)
if ( $curr_sum > $x &&
( $end - $start + 1) < $min_len )
$min_len = ( $end - $start + 1);
}
}
return $min_len ;
} // Driver Code $arr1 = array (1, 4, 45,
6, 10, 19);
$x = 51;
$n1 = sizeof( $arr1 );
$res1 = smallestSubWithSum( $arr1 , $n1 , $x );
if (( $res1 == $n1 + 1) == true)
echo "Not possible\n" ;
else echo $res1 , "\n" ;
$arr2 = array (1, 10, 5, 2, 7);
$n2 = sizeof( $arr2 );
$x = 9;
$res2 = smallestSubWithSum( $arr2 , $n2 , $x );
if (( $res2 == $n2 + 1) == true)
echo "Not possible\n" ;
else echo $res2 , "\n" ;
$arr3 = array (1, 11, 100, 1, 0,
200, 3, 2, 1, 250);
$n3 = sizeof( $arr3 );
$x = 280;
$res3 = smallestSubWithSum( $arr3 , $n3 , $x );
if (( $res3 == $n3 + 1) == true)
echo "Not possible\n" ;
else echo $res3 , "\n" ;
// This code is contributed by ajit ?> |
3 1 4
Time Complexity: O(n2).
Auxiliary Space: O(1)
Efficient Solution: This problem can be solved in O(n) time using the idea used in this post.
// O(n) solution for finding smallest subarray with sum // greater than x #include <iostream> using namespace std;
// Returns length of smallest subarray with sum greater than // x. If there is no subarray with given sum, then returns // n+1 int smallestSubWithSum( int arr[], int n, int x)
{ // Initialize current sum and minimum length
int curr_sum = 0, min_len = n + 1;
// Initialize starting and ending indexes
int start = 0, end = 0;
while (end < n) {
// Keep adding array elements while current sum
// is smaller than or equal to x
while (curr_sum <= x && end < n)
curr_sum += arr[end++];
// If current sum becomes greater than x.
while (curr_sum > x && start < n) {
// Update minimum length if needed
if (end - start < min_len)
min_len = end - start;
// remove starting elements
curr_sum -= arr[start++];
}
}
return min_len;
} /* Driver program to test above function */ int main()
{ int arr1[] = { 1, 4, 45, 6, 10, 19 };
int x = 51;
int n1 = sizeof (arr1) / sizeof (arr1[0]);
int res1 = smallestSubWithSum(arr1, n1, x);
(res1 == n1 + 1) ? cout << "Not possible\n"
: cout << res1 << endl;
int arr2[] = { 1, 10, 5, 2, 7 };
int n2 = sizeof (arr2) / sizeof (arr2[0]);
x = 9;
int res2 = smallestSubWithSum(arr2, n2, x);
(res2 == n2 + 1) ? cout << "Not possible\n"
: cout << res2 << endl;
int arr3[] = { 1, 11, 100, 1, 0, 200, 3, 2, 1, 250 };
int n3 = sizeof (arr3) / sizeof (arr3[0]);
x = 280;
int res3 = smallestSubWithSum(arr3, n3, x);
(res3 == n3 + 1) ? cout << "Not possible\n"
: cout << res3 << endl;
return 0;
} |
// O(n) solution for finding smallest subarray with sum // greater than x import java.io.*;
class SmallestSubArraySum {
// Returns length of smallest subarray with sum greater
// than x. If there is no subarray with given sum, then
// returns n+1
static int smallestSubWithSum( int arr[], int n, int x)
{
// Initialize current sum and minimum length
int curr_sum = 0 , min_len = n + 1 ;
// Initialize starting and ending indexes
int start = 0 , end = 0 ;
while (end < n) {
// Keep adding array elements while current sum
// is smaller than or equal to x
while (curr_sum <= x && end < n)
curr_sum += arr[end++];
// If current sum becomes greater than x.
while (curr_sum > x && start < n) {
// Update minimum length if needed
if (end - start < min_len)
min_len = end - start;
// remove starting elements
curr_sum -= arr[start++];
}
}
return min_len;
}
// Driver program to test above functions
public static void main(String[] args)
{
int arr1[] = { 1 , 4 , 45 , 6 , 10 , 19 };
int x = 51 ;
int n1 = arr1.length;
int res1 = smallestSubWithSum(arr1, n1, x);
if (res1 == n1 + 1 )
System.out.println( "Not Possible" );
else
System.out.println(res1);
int arr2[] = { 1 , 10 , 5 , 2 , 7 };
int n2 = arr2.length;
x = 9 ;
int res2 = smallestSubWithSum(arr2, n2, x);
if (res2 == n2 + 1 )
System.out.println( "Not Possible" );
else
System.out.println(res2);
int arr3[]
= { 1 , 11 , 100 , 1 , 0 , 200 , 3 , 2 , 1 , 250 };
int n3 = arr3.length;
x = 280 ;
int res3 = smallestSubWithSum(arr3, n3, x);
if (res3 == n3 + 1 )
System.out.println( "Not Possible" );
else
System.out.println(res3);
}
} // This code has been contributed by Mayank Jaiswal |
# O(n) solution for finding smallest # subarray with sum greater than x # Returns length of smallest subarray # with sum greater than x. If there # is no subarray with given sum, then # returns n + 1 def smallestSubWithSum(arr, n, x):
# Initialize current sum and minimum length
curr_sum = 0
min_len = n + 1
# Initialize starting and ending indexes
start = 0
end = 0
while (end < n):
# Keep adding array elements while current
# sum is smaller than or equal to x
while (curr_sum < = x and end < n):
curr_sum + = arr[end]
end + = 1
# If current sum becomes greater than x.
while (curr_sum > x and start < n):
# Update minimum length if needed
if (end - start < min_len):
min_len = end - start
# remove starting elements
curr_sum - = arr[start]
start + = 1
return min_len
# Driver program arr1 = [ 1 , 4 , 45 , 6 , 10 , 19 ]
x = 51
n1 = len (arr1)
res1 = smallestSubWithSum(arr1, n1, x)
print ( "Not possible" ) if (res1 = = n1 + 1 ) else print (res1)
arr2 = [ 1 , 10 , 5 , 2 , 7 ]
n2 = len (arr2)
x = 9
res2 = smallestSubWithSum(arr2, n2, x)
print ( "Not possible" ) if (res2 = = n2 + 1 ) else print (res2)
arr3 = [ 1 , 11 , 100 , 1 , 0 , 200 , 3 , 2 , 1 , 250 ]
n3 = len (arr3)
x = 280
res3 = smallestSubWithSum(arr3, n3, x)
print ( "Not possible" ) if (res3 = = n3 + 1 ) else print (res3)
# This code is contributed by # Smitha Dinesh Semwal |
// O(n) solution for finding // smallest subarray with sum // greater than x using System;
class GFG {
// Returns length of smallest
// subarray with sum greater
// than x. If there is no
// subarray with given sum,
// then returns n+1
static int smallestSubWithSum( int [] arr, int n, int x)
{
// Initialize current
// sum and minimum length
int curr_sum = 0, min_len = n + 1;
// Initialize starting
// and ending indexes
int start = 0, end = 0;
while (end < n) {
// Keep adding array elements
// while current sum is smaller
// than or equal to x
while (curr_sum <= x && end < n)
curr_sum += arr[end++];
// If current sum becomes
// greater than x.
while (curr_sum > x && start < n) {
// Update minimum
// length if needed
if (end - start < min_len)
min_len = end - start;
// remove starting elements
curr_sum -= arr[start++];
}
}
return min_len;
}
// Driver Code
static public void Main()
{
int [] arr1 = { 1, 4, 45, 6, 10, 19 };
int x = 51;
int n1 = arr1.Length;
int res1 = smallestSubWithSum(arr1, n1, x);
if (res1 == n1 + 1)
Console.WriteLine( "Not Possible" );
else
Console.WriteLine(res1);
int [] arr2 = { 1, 10, 5, 2, 7 };
int n2 = arr2.Length;
x = 9;
int res2 = smallestSubWithSum(arr2, n2, x);
if (res2 == n2 + 1)
Console.WriteLine( "Not Possible" );
else
Console.WriteLine(res2);
int [] arr3
= { 1, 11, 100, 1, 0, 200, 3, 2, 1, 250 };
int n3 = arr3.Length;
x = 280;
int res3 = smallestSubWithSum(arr3, n3, x);
if (res3 == n3 + 1)
Console.WriteLine( "Not Possible" );
else
Console.WriteLine(res3);
}
} // This code is contributed by akt_mit |
<script> // O(n) solution for finding smallest subarray with sum // greater than x // Returns length of smallest subarray with sum greater than // x. If there is no subarray with given sum, then returns // n+1 function smallestSubWithSum(arr, n, x)
{ // Initialize current sum and minimum length
let curr_sum = 0, min_len = n + 1;
// Initialize starting and ending indexes
let start = 0, end = 0;
while (end < n) {
// Keep adding array elements while current sum
// is smaller than or equal to x
while (curr_sum <= x && end < n)
curr_sum += arr[end++];
// If current sum becomes greater than x.
while (curr_sum > x && start < n) {
// Update minimum length if needed
if (end - start < min_len)
min_len = end - start;
// remove starting elements
curr_sum -= arr[start++];
}
}
return min_len;
} /* Driver program to test above function */ let arr1 = [ 1, 4, 45, 6, 10, 19 ]; let x = 51; let n1 = arr1.length; let res1 = smallestSubWithSum(arr1, n1, x); (res1 == n1 + 1) ? document.write( "Not possible<br>" )
: document.write(res1 + "<br>" );
let arr2 = [ 1, 10, 5, 2, 7 ]; let n2 = arr2.length; x = 9; let res2 = smallestSubWithSum(arr2, n2, x); (res2 == n2 + 1) ? document.write( "Not possible<br>" )
: document.write(res2 + "<br>" );
let arr3 = [ 1, 11, 100, 1, 0, 200, 3, 2, 1, 250 ]; let n3 = arr3.length; x = 280; let res3 = smallestSubWithSum(arr3, n3, x); (res3 == n3 + 1) ? document.write( "Not possible<br>" )
: document.write(res3 + "<br>" );
// This code is contributed by subham348.
</script> |
<?php // O(n) solution for finding // smallest subarray with sum // greater than x // Returns length of smallest // subarray with sum greater // than x. If there is no // subarray with given sum, // then returns n+1 function smallestSubWithSum( $arr ,
$n , $x )
{ // Initialize current
// sum and minimum length
$curr_sum = 0;
$min_len = $n + 1;
// Initialize starting
// and ending indexes
$start = 0;
$end = 0;
while ( $end < $n )
{
// Keep adding array elements
// while current sum is smaller
// than or equal to x
while ( $curr_sum <= $x &&
$end < $n )
$curr_sum += $arr [ $end ++];
// If current sum becomes
// greater than x.
while ( $curr_sum > $x &&
$start < $n )
{
// Update minimum
// length if needed
if ( $end - $start < $min_len )
$min_len = $end - $start ;
// remove starting elements
$curr_sum -= $arr [ $start ++];
}
}
return $min_len ;
} // Driver Code $arr1 = array (1, 4, 45,
6, 10, 19);
$x = 51;
$n1 = sizeof( $arr1 );
$res1 = smallestSubWithSum( $arr1 ,
$n1 , $x );
if ( $res1 == $n1 + 1)
echo "Not possible\n" ;
else echo $res1 , "\n" ;
$arr2 = array (1, 10, 5, 2, 7);
$n2 = sizeof( $arr2 );
$x = 9;
$res2 = smallestSubWithSum( $arr2 ,
$n2 , $x );
if ( $res2 == $n2 + 1)
echo "Not possible\n" ;
else echo $res2 , "\n" ;
$arr3 = array (1, 11, 100, 1, 0,
200, 3, 2, 1, 250);
$n3 = sizeof( $arr3 );
$x = 280;
$res3 = smallestSubWithSum( $arr3 ,
$n3 , $x );
if ( $res3 == $n3 + 1)
echo "Not possible\n" ;
else echo $res3 , "\n" ;
// This code is contributed by ajit ?> |
3 1 4
Time Complexity: O(n).
Auxiliary Space: O(1)
Another Approach: Binary Search
- First calculates the cumulative sum of the vector elements and stores them in the sums vector.
- Then iterates through the sums vector and finds the lower bound of the target sum for each possible subarray.
- If the lower bound is found and it’s not equal to the target sum (i.e., the subarray sum is greater than the target),
- Calculates the length of the subarray and updates the ans variable if the length is smaller than the current value.
- Finally, returns the ans value or 0 if ans was not updated.
// O(n log(n) solution for finding smallest subarray with // sum greater than x #include <bits/stdc++.h> using namespace std;
int smallestSubArrayLen( int target, vector< int >& nums)
{ // Get the length of the input vector
int n = nums.size();
// If the vector is empty, return 0
if (n == 0)
return 0;
// Initialize the minimum subarray length to INT_MAX-1
int ans = INT_MAX - 1;
// Create a new vector "sums" with size n+1, initialized
// to all zeros
vector< int > sums(n + 1, 0);
// Compute the running sum of nums and store it in
// "sums"
for ( int i = 1; i <= n; i++)
sums[i] = sums[i - 1] + nums[i - 1];
// Iterate through each starting index i
for ( int i = 1; i <= n; i++) {
// Calculate the target sum for the subarray
// starting at index i
int to_find = target + sums[i - 1];
// Find the first element in "sums" that is >=
// to_find
auto bound = lower_bound(sums.begin(), sums.end(),
to_find);
// If such an element is found and it is not equal
// to to_find itself
if (bound != sums.end() && *bound != to_find) {
// Compute the length of the subarray and update
// ans if necessary
int len = bound - (sums.begin() + i - 1);
ans = min(ans, len);
}
}
// Return ans if it was updated, otherwise return 0
return (ans != INT_MAX - 1) ? ans : 0;
} /* Driver program to test above function */ int main()
{ vector< int > arr1 = { 1, 4, 45, 6, 10, 19 };
int target1 = 51;
cout << "Length of Smallest Subarray :"
<< smallestSubArrayLen(target1, arr1) << endl;
vector< int > arr2 = { 1, 10, 5, 2, 7 };
int target2 = 9;
cout << "Length of Smallest Subarray :"
<< smallestSubArrayLen(target2, arr2) << endl;
vector< int > arr3 = { 1, 1, 1, 1, 1, 1, 1, 1 };
int target3 = 11;
cout << "Length of Smallest Subarray :"
<< smallestSubArrayLen(target3, arr3) << endl;
vector< int > arr4
= { 1, 11, 100, 1, 0, 200, 3, 2, 1, 250 };
int target4 = 280;
cout << "Length of Smallest Subarray :"
<< smallestSubArrayLen(target4, arr4) << endl;
return 0;
} |
import java.util.Arrays;
public class GFG {
public static int smallestSubArrayLen( int target, int [] nums) {
// Get the length of the input array
int n = nums.length;
// If the array is empty, return 0
if (n == 0 ) {
return 0 ;
}
// Initialize the minimum subarray length to a large value
int ans = Integer.MAX_VALUE;
// Create a new array "sums" with size n+1, initialized to all zeros
int [] sums = new int [n + 1 ];
// Compute the running sum of nums and store it in "sums"
for ( int i = 1 ; i <= n; i++) {
sums[i] = sums[i - 1 ] + nums[i - 1 ];
}
// Iterate through each starting index i
for ( int i = 1 ; i <= n; i++) {
// Calculate the target sum for the subarray starting at index i
int toFind = target + sums[i - 1 ];
// Find the first element in "sums" that is >= toFind
int bound = Arrays.binarySearch(sums, toFind);
if (bound < 0 ) {
bound = -bound - 1 ;
}
// If such an element is found and it is not equal to toFind itself
if (bound != sums.length && sums[bound] != toFind) {
// Compute the length of the subarray and update ans if necessary
int length = bound - (i - 1 );
ans = Math.min(ans, length);
}
}
// Return ans if it was updated, otherwise return 0
return (ans != Integer.MAX_VALUE) ? ans : 0 ;
}
public static void main(String[] args) {
int [] arr1 = { 1 , 4 , 45 , 6 , 10 , 19 };
int target1 = 51 ;
System.out.println( "Length of Smallest Subarray: " + smallestSubArrayLen(target1, arr1));
int [] arr2 = { 1 , 10 , 5 , 2 , 7 };
int target2 = 9 ;
System.out.println( "Length of Smallest Subarray: " + smallestSubArrayLen(target2, arr2));
int [] arr3 = { 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 };
int target3 = 11 ;
System.out.println( "Length of Smallest Subarray: " + smallestSubArrayLen(target3, arr3));
int [] arr4 = { 1 , 11 , 100 , 1 , 0 , 200 , 3 , 2 , 1 , 250 };
int target4 = 280 ;
System.out.println( "Length of Smallest Subarray: " + smallestSubArrayLen(target4, arr4));
}
} |
# O(n log(n) solution for finding smallest subarray with # sum greater than from bisect import bisect_left
# Function to find the smallest subarray length with a # sum greater than a target value def smallestSubArrayLen(target, nums):
# Get the length of the input list
n = len (nums)
# If the list is empty, return 0
if n = = 0 :
return 0
# Initialize the minimum subarray length to a large value
ans = float ( 'inf' )
# Create a new list "sums" with size n+1, initialized to all zeros
sums = [ 0 ] * (n + 1 )
# Compute the running sum of nums and store it in "sums"
for i in range ( 1 , n + 1 ):
sums[i] = sums[i - 1 ] + nums[i - 1 ]
# Iterate through each starting index i
for i in range ( 1 , n + 1 ):
# Calculate the target sum for the subarray starting at index i
to_find = target + sums[i - 1 ]
# Find the first element in "sums" that is >= to_find
bound = bisect_left(sums, to_find)
# If such an element is found and it is not equal to to_find itself
if bound ! = len (sums) and sums[bound] ! = to_find:
# Compute the length of the subarray and update ans if necessary
length = bound - (i - 1 )
ans = min (ans, length)
# Return ans if it was updated, otherwise return 0
return ans if ans ! = float ( 'inf' ) else 0
# Driver code to test the function arr1 = [ 1 , 4 , 45 , 6 , 10 , 19 ]
target1 = 51
print ( "Length of Smallest Subarray:" , smallestSubArrayLen(target1, arr1))
arr2 = [ 1 , 10 , 5 , 2 , 7 ]
target2 = 9
print ( "Length of Smallest Subarray:" , smallestSubArrayLen(target2, arr2))
arr3 = [ 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 ]
target3 = 11
print ( "Length of Smallest Subarray:" , smallestSubArrayLen(target3, arr3))
arr4 = [ 1 , 11 , 100 , 1 , 0 , 200 , 3 , 2 , 1 , 250 ]
target4 = 280
print ( "Length of Smallest Subarray:" , smallestSubArrayLen(target4, arr4))
|
// Nikunj Sonigara using System;
using System.Collections.Generic;
class Program
{ // Function to find the length of the smallest subarray whose sum is greater than or equal to the target.
static int SmallestSubArrayLen( int target, List< int > nums)
{
int n = nums.Count;
if (n == 0)
return 0;
int ans = int .MaxValue - 1;
List< int > sums = new List< int >(n + 1);
sums.Add(0);
// Calculate the cumulative sum of the elements in the 'nums' list.
for ( int i = 1; i <= n; i++)
sums.Add(sums[i - 1] + nums[i - 1]);
for ( int i = 1; i <= n; i++)
{
int toFind = target + sums[i - 1];
// Use binary search to find the index in 'sums' where 'toFind' would be located.
int bound = BinarySearch(sums, toFind);
if (bound != sums.Count && sums[bound] != toFind)
{
// Calculate the length of the subarray and update the 'ans' if it's smaller.
int len = bound - (i - 1);
ans = Math.Min(ans, len);
}
}
// If no subarray was found, return 0. Otherwise, return the minimum length found.
return (ans != int .MaxValue - 1) ? ans : 0;
}
// Binary search to find the index of the target sum in the 'sums' list.
static int BinarySearch(List< int > sums, int target)
{
int left = 0;
int right = sums.Count - 1;
while (left <= right)
{
int mid = left + (right - left) / 2;
if (sums[mid] == target)
return mid;
else if (sums[mid] < target)
left = mid + 1;
else
right = mid - 1;
}
return left;
}
static void Main()
{
List< int > arr1 = new List< int > { 1, 4, 45, 6, 10, 19 };
int target1 = 51;
Console.WriteLine( "Length of Smallest Subarray: " + SmallestSubArrayLen(target1, arr1));
List< int > arr2 = new List< int > { 1, 10, 5, 2, 7 };
int target2 = 9;
Console.WriteLine( "Length of Smallest Subarray: " + SmallestSubArrayLen(target2, arr2));
List< int > arr3 = new List< int > { 1, 1, 1, 1, 1, 1, 1, 1 };
int target3 = 11;
Console.WriteLine( "Length of Smallest Subarray: " + SmallestSubArrayLen(target3, arr3));
List< int > arr4 = new List< int > { 1, 11, 100, 1, 0, 200, 3, 2, 1, 250 };
int target4 = 280;
Console.WriteLine( "Length of Smallest Subarray: " + SmallestSubArrayLen(target4, arr4));
}
} |
// O(n log(n) solution for finding smallest subarray with // sum greater than x // Function to find the smallest subarray length with a // sum greater than a target value function smallestSubArrayLen(target, nums) {
// Get the length of the input array let n = nums.length; // If the array is empty, return 0 if (n === 0)
return 0;
// Initialize the minimum subarray length to Infinity let ans = Infinity; // Create a new array "sums" with size n+1, initialized // to all zeros let sums = new Array(n + 1).fill(0);
// Compute the running sum of nums and store it in "sums" for (let i = 1; i <= n; i++)
sums[i] = sums[i - 1] + nums[i - 1]; // Iterate through each starting index i for (let i = 1; i <= n; i++) {
// Calculate the target sum for the subarray // starting at index i let to_find = target + sums[i - 1]; // Find the first element in "sums" that is >= to_find let bound = sums.findIndex((element) => element >= to_find); // If such an element is found and it is not equal to to_find itself if (bound !== -1 && sums[bound] !== to_find) {
// Compute the length of the subarray and update ans if necessary let len = bound - (i - 1); ans = Math.min(ans, len); } } // Return ans if it was updated, otherwise return 0 return (ans !== Infinity) ? ans : 0;
} /* Driver program to test above function */ let arr1 = [1, 4, 45, 6, 10, 19]; let target1 = 51; console.log( "Length of Smallest Subarray: " + smallestSubArrayLen(target1, arr1));
let arr2 = [1, 10, 5, 2, 7]; let target2 = 9; console.log( "Length of Smallest Subarray: " + smallestSubArrayLen(target2, arr2));
let arr3 = [1, 1, 1, 1, 1, 1, 1, 1]; let target3 = 11; console.log( "Length of Smallest Subarray: " + smallestSubArrayLen(target3, arr3));
let arr4 = [1, 11, 100, 1, 0, 200, 3, 2, 1, 250]; let target4 = 280; console.log( "Length of Smallest Subarray: " + smallestSubArrayLen(target4, arr4));
|
Length of Smallest Subarray :3 Length of Smallest Subarray :1 Length of Smallest Subarray :0 Length of Smallest Subarray :4
Time Complexity: O (n log(n)).
Auxiliary Space: O(n)
Thanks to Ankit and Nitin for suggesting this optimized solution.
How to handle negative numbers?
The above solution may not work if input array contains negative numbers. For example arr[] = {- 8, 1, 4, 2, -6}. To handle negative numbers, add a condition to ignore subarrays with negative sums. We can use the solution discussed in Find subarray with given sum with negatives allowed in constant space