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sliding window algorithm javascript

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Ramsey answered on May 7, 2022 Popularity 10/10 Helpfulness 2/10

answer sliding window algorithm javascript

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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.

Popularity 10/10 Helpfulness 2/10 Language javascript

Source: Grepper

Tags: algorithm javascript sliding-window

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Contributed on May 07 2022

Ramsey

0 Answers Avg Quality 2/10

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array sliding window technique

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Tags: javascript j

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Contributed on Mar 07 2023

Mysterious Manatee

0 Answers Avg Quality 2/10

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;
};

Popularity 8/10 Helpfulness 1/10 Language javascript

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Tags: javascript sliding-window slidin

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Contributed on Jul 09 2023

Farooq Ali

0 Answers Avg Quality 2/10

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);

Popularity 5/10 Helpfulness 1/10 Language javascript

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Contributed on Sep 12 2023

YOU.com

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