The first approach involves using a hashmap or dictionary to store diagonals. For any element at (i, j)
, the diagonal can be identified by the key (i - j)
. This key is unique to all elements on the same diagonal. We then collect each diagonal's elements into a list, sort them, and place them back into the matrix.
Time Complexity: O(m * n * log(min(m, n)))
due to the sorting of up to min(m, n)
elements for each diagonal.
Space Complexity: O(m * n)
for storing diagonal elements.
1function diagonalSort(mat) {
2 let map = new Map();
3 let m = mat.length, n = mat[0].length;
4
5 for (let i = 0; i < m; i++) {
6 for (let j = 0; j < n; j++) {
7 let d = i - j;
8 if (!map.has(d)) map.set(d, []);
9 map.get(d).push(mat[i][j]);
10 }
11 }
12
13 for (let key of map.keys()) {
14 map.set(key, map.get(key).sort((a, b) => a - b));
15 }
16
17 for (let i = 0; i < m; i++) {
18 for (let j = 0; j < n; j++) {
19 let d = i - j;
20 mat[i][j] = map.get(d).shift();
21 }
22 }
23
24 return mat;
25}
The JavaScript solution involves using a Map
to keep diagonals. We sort each diagonal array in-place and update the matrix with sorted values by utilizing shift()
.
This approach aims to perform cross-diagonal sorting directly within the matrix itself, minimizing additional storage usage. By extracting diagonal elements one at a time, sorting them, and reinserting them, we achieve the diagonal sorting task with constrained space complexity.
Time Complexity: O(m * n * log(min(m, n)))
due to sorting operations.
Space Complexity: O(min(m, n))
for temporary diagonal storage.
1#include <stdio.h>
2#include <stdlib.h>
3#include <string.h>
4
5void sort(int *array, int size) {
6 for (int step = 0; step < size - 1; ++step) {
7 for (int i = 0; i < size - step - 1; ++i) {
8 if (array[i] > array[i + 1]) {
9 int temp = array[i];
10 array[i] = array[i + 1];
11 array[i + 1] = temp;
12 }
13 }
14 }
15}
16
17void sortDiagonal(int **mat, int m, int n, int x, int y) {
18 int array[100], idx = 0;
19 int i = x, j = y;
20 while (i < m && j < n) {
21 array[idx++] = mat[i][j];
22 i++; j++;
23 }
24 sort(array, idx);
25 i = x; j = y; idx = 0;
26 while (i < m && j < n) {
27 mat[i][j] = array[idx++];
28 i++; j++;
29 }
30}
31
32int** diagonalSort(int** mat, int matSize, int* matColSize, int* returnSize, int** returnColumnSizes) {
33 *returnSize = matSize;
34 *returnColumnSizes = matColSize;
35
36 for (int i = 0; i < matSize; i++)
37 sortDiagonal(mat, matSize, *matColSize, i, 0);
38
39 for (int j = 1; j < *matColSize; j++)
40 sortDiagonal(mat, matSize, *matColSize, 0, j);
41
42 return mat;
43}
This C code sorts diagonals in place without extra structures. It iterates over each diagonal from top row and left column, extracts, sorts, and reinserts elements back directly.