sliding window algorithm javascript

YOU.com answered on May 7, 2022 Popularity 6/10 Helpfulness 2/10

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sliding window algorithm javascript

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function findMaxSum(arr, windowSize) {
  if (arr.length < windowSize) {
    return "Invalid input";
  }

  let maxSum = 0;
  for (let i = 0; i < windowSize; i++) {
    maxSum += arr[i];
  }

  let windowSum = maxSum;
  for (let i = windowSize; i < arr.length; i++) {
    windowSum += arr[i] - arr[i - windowSize];
    maxSum = Math.max(maxSum, windowSum);
  }

  return maxSum;
}

const numbers = [1, 4, 2, 10, 2, 3, 1, 0, 20];
const windowSize = 3;

const maxSum = findMaxSum(numbers, windowSize);
console.log("Maximum sum:", maxSum);

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Contributed on Sep 12 2023

YOU.com

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Here is an example.

Input Array: [2, 6, 9, 2, 1, 8, 5, 6, 3]

num: 3

//Let’s define two variables tracking sums of the consequent subset and the maximum sum compared to the temporary sum.

function maxSumArr(arr, num) {
    let maxSum = 0;
    let tempSum = 0;
}

//2. If the length of an array is less than the num, we should return null before start looping through the array.

function maxSumArr(arr, num) {
    let maxSum = 0;
    let tempSum = 0;
    if(arr.length < num) return null;
}

//3. Start looping through an array from index 0 to the size of num, and add every element to the tempSum

function maxSumArr(arr, num) {
    let maxSum = 0;
    let tempSum = 0;
    if(arr.length < num) return null;
    for(let i = 0; i < num; i++) {
       tempSum += arr[i];
    }
}

//4. Set the tempSum to the maxSum variable, and loop through the array again starting from the num to get a new tempSum. The new tempSum is achieved by sliding window of the array so we can subtract the previous element of the new subset and add the new element

function maxSumArr(arr, num) {
    let maxSum = 0;
    let tempSum = 0;
    if(arr.length < num) return null;
    for(let i = 0; i < num; i++) {
       tempSum += arr[i];
    }
    tempSum = maxSum;
    for(let i = num; i < arr.length; i++) {
       tempSum = tempSum - arr[i - num] + arr[i];
    }
}

//5. Now, it’s time to compare between maxSum and tempSum and set bigger sum as maxSum, in which we will return at last.

function maxSumArr(arr, num) {
    let maxSum = 0;
    let tempSum = 0;
    if(arr.length < num) return null;
    for(let i = 0; i < num; i++) {
       tempSum += arr[i];
    }
    tempSum = maxSum;
    for(let i = num; i < arr.length; i++) {
       tempSum = tempSum - arr[i - num] + arr[i];
       maxSum = Math.max(tempSum, maxSum);
       }      
       return maxSum;
}
//We got our sum of the maximal subarray! Using the Sliding Window algorithms, it reduced the operating time to O(n). Great job.

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Contributed on May 07 2022

Ramsey

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sliding window javascript

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//Find the minimum sum of n consecutive elements in array
//i.e minSum of 3 consecutive elements in [1,2,3,4,5,6] is 1+2+3 = 6

const slidingWindow = (arr, n) => {
  let minSum,sum = 0;
  for (let i = 0; i < n; i++) {
    sum += arr[i];
  }
 minSum=sum;

  for (let j = n; j < arr.length; j++) {
    sum = sum - arr[j - n] + arr[j];
    if (sum < minSum) minSum = sum;
  }

  return minSum;
};

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Contributed on Jul 09 2023

Farooq Ali

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array sliding window technique

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array sliding window technique

Popularity 9/10 Helpfulness 1/10 Language javascript

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Contributed on Mar 07 2023

Mysterious Manatee

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sliding window algorithm javascript

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