I was asked this during a coding interview but wasn't able to solve this. Any pointers would be very helpful.
I was given an integer list (think of it as a number line) which needs to be rearranged so that the difference between elements is equal to M
(an integer which is given). The list needs to be rearranged in such a way that the value of the max absolute difference between the elements' new positions and the original positions
needs to be minimized. Eventually, this value multiplied by 2 is returned.
Test cases:
//1.
original_list = [1, 2, 3, 4]
M = 2
rearranged_list = [-0.5, 1.5, 3.5, 5.5]
// difference in values of original and rearranged lists
diff = [1.5, 0.5, 0.5, 1.5]
max_of_diff = 1.5 // list is rearranged in such a way so that this value is minimized
return_val = 1.5 * 2 = 3
//2.
original_list = [1, 2, 4, 3]
M = 2
rearranged_list = [-1, 1, 3, 5]
// difference in values of original and rearranged lists
diff = [2, 1, 1, 2]
max_of_diff = 2 // list is rearranged in such a way so that this value is minimized
return_val = 2 * 2 = 4
Constraints:
1 <= list_length <= 10^5
1 <= M <= 10^4
-10^9 <= list[i] <= 10^9
There's a question on leetcode which is very similar to this:
The black dots are the input values [1, 2, 3, 4] where the index of the array is the X-coordinate, and the actual value at that index, the Y-coordinate.
The green line is determined by M. Initially this line runs through the origin at (0, 0). The red line segments represent the differences that must be taken into account.
Now the green line has to move vertically to its optimal position. We can see that we only need to look at the difference it makes with the first and with the last point. The other two inputs will never contribute to an extreme. This is generally true: there are only two input elements that need to be taken into account. They are the points that make the greatest (signed -- not absolute) difference and the least difference.
We can see that we need to move the green line in such a way that the signed differences with these two extremes are each others opposite: i.e. their absolute difference becomes the same, but the sign will be opposite.
Twice this absolute difference is what we need to return, and it is actually the difference between the greatest (signed) difference and the least (signed) difference.
So, in conclusion, we must generate the values on the green line, find the least and greatest (signed) difference with the data points (Y-coordinates) and return the difference between those two.
Here is an implementation in JavaScript running the two examples you provided:
function solve(y, slope) {
let low = Infinity;
let high = -Infinity;
for (let x = 0; x < y.length; x ) {
let dy = y[x] - x * slope;
low = Math.min(low, dy);
high = Math.max(high, dy);
}
return high - low;
}
console.log(solve([1, 2, 3, 4], 2)); // 3
console.log(solve([1, 2, 4, 3], 2)); // 4