rank approximation in javascript

To rank approximations in JavaScript, you will need to use a sorting algorithm to sort the approximations by their closeness to the target value for which you are approximating.

Here's an example implementation of a ranking algorithm in JavaScript that sorts an array of approximations by their distance from the target value using the Bubble Sort algorithm:

index.tsx
function rankApproximations(approximations, target) {
  let isSorted = false;
  let n = approximations.length;
  while (!isSorted) {
    isSorted = true;
    for (let i = 0; i < n - 1; i++) {
      let currDiff = Math.abs(approximations[i] - target);
      let nextDiff = Math.abs(approximations[i + 1] - target);
      if (currDiff > nextDiff) {
        let temp = approximations[i];
        approximations[i] = approximations[i + 1];
        approximations[i + 1] = temp;
        isSorted = false;
      }
    }
    n--;
  }
  return approximations;
}
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The rankApproximations function takes two arguments: an array of approximations and the target value for which you are approximating.

The function uses a while loop to iterate through the array while swaps are being made. Inside the while loop, there is a for loop that compares the current approximation i with the next approximation i + 1. If the current approximation i is farther from the target than the next approximation i + 1, the two values are swapped using a temporary variable.

The rankApproximations function returns the sorted array of approximations based on their closeness to the target value. With this sorted array, the best approximations are at the beginning of the array and the worst approximations are at the end.