Not an "Easy" Algorithm: Rotating an Array, Three Ways
Alisa Bajramovic
Posted on June 12, 2020
Today's algorithm is the Rotate Array problem:
Given an array, rotate the array to the right by k steps, where k is non-negative.
Try to come up as many solutions as you can, there are at least 3 different ways to solve this problem. Could you do it in place with O(1) extra space?.
For example, if you were given the array [1, 2, 3, 4, 5]
, and told to rotate it 2
steps to the right, the output should be [4, 5, 1, 2, 3]
. After 1 step, the array would be [5, 1, 2, 3, 4]
, so that after 2 steps it would be [4, 5, 1, 2, 3]
.
On Leetcode, this problem is labeled "easy"--how they determine difficulty level, I'm not sure. However, I think this problem is by no means an "easy" one. There are many ways to solve this problem, which is part of why I like it, and I think each solution is complicated in its own way.
In this blog post, I'll walk through three different ways to approach and solve this problem: (1) popping and unshifting the elements in the array, (2) creating a new array where the elements start out shifted, and (3) reversing different sections of the array.
Approach #1: Popping and Unshifting
When working with arrays, a few methods come up all the time. One of which is .pop()
, which "removes the last element from an array and returns that element" (you can read more about .pop() here). For example:
const arr = [1, 2, 3]
arr.pop() // would return 3
console.log(arr) // would return [1, 2]
Another common method used on arrays is .unshift()
. This method "adds one or more elements to the beginning of an array and returns the new length of the array" (you can read more about .unshift() here). For example:
const arr = [2, 3]
arr.unshift(1) // would return 3, the new length of the array
console.log(arr) // would return [1, 2, 3]
Rotating an array right can also be thought of as moving the elements from the back of the array to the front of the array. In this problem, we want to move elements from the back of the array to the front, doing so k
times. In a for loop, which will run k
times, we can pop the last number off the back of the array, and unshift that number to the front of the array.
For example, let's say we were given the array nums = [1, 2, 3, 4, 5]
, and k = 2
, so we should rotate the array 2 times. Using pop and unshift, we'd start by popping off the last element, 5
, which would make nums
be [1, 2, 3, 4]
. Then, we'd unshift 5
, putting it at the front of the array, so that nums
is [5, 1, 2, 3, 4]
.
We'd repeat this cycle once more, popping off the 4
, making nums = [5, 1, 2, 3]
, and then unshifting the 4, giving us the final answer of [4, 5, 1, 2, 3]
.
Coding the first approach
Before we start coding this solution, there's one more thing to note about this problem: let's say that the given array was [1, 2]
, and we were told to rotate it to the right 7 times. The array is less than 7 elements long, so rotating it 7 times would be a lot of unnecessary work. Therefore, before we do anything, both in this solution and in the other approaches, we should modify k
using modulo (%).
The modulo operator returns the remainder after dividing one number by another. For example, 10%3
would return 1
, because 10/3 has a remainder of 1. Similarly, in this problem, we'd want to set k
equal to k % nums.length
. Using the same example, if k = 7
, and nums = [1, 2]
, then k = k % nums.length
is the same as k = 7%2
, or k=1
. The first line of this solution, therefore, will be this line.
function rotate1(nums, k) {
k = k % nums.length;
//...
}
We want to do .pop()
and .unshift()
as many times as k
equals, so we'll make a for loop that goes on k
times. Inside the for loop, we'll store the result of nums.pop()
to a variable called back
. Then, we will unshift back
, putting in at the start of the nums
array.
Once the for loop stops executing, we'll return nums
.
function rotate1(nums, k) {
k = k % nums.length;
for (let i = 0; i < k; i++) {
const back = nums.pop();
nums.unshift(back);
}
return nums;
}
This first approach is done in linear time (O(n)) and constant space (O(1)).
Approach #2: Creating a New Array
In the second approach, we'll be creating a new array, where the elements have moved over k
spaces. The idea behind this approach is that we can just iterate through the nums
array, and move each element k
spaces to the right of where it already was.
What happens if the element is supposed to move to a index that's longer than the length of the nums
array? In that case, you'd want to use the modulo operator, calculating the result of moving to the new distance % the length of the nums
array. I think this is a particularly tricky part of this approach, so I'll use an example.
Let's say you're starting out with the array nums
, which is [1, 2, 3]
and a blank array arr
, and we're told k=2
, so the array will move over 2 spots to the right. We can start out by moving the first element of the nums
array, 1
. 1
is at index 0 (i = 0
), and we'll want to move it 2 spots over. In other words, we'll want its position in the arr
array to be determined by i + k
, which is index 2.
Now, we're on index 1 of the nums
array, 2
. We want to move it k
steps to the right, but i + k
is 3, and that would be longer than the length of the nums
array. So, to find the new spot for 2
, we should do (i + k) % nums.length
, or 3 % 3
, which is 0
. So, we should move the element 2
to the index 0
in arr
.
Finally, we're on the index 2 of the nums
array, which is 3
. We want to move it k
steps to the right, and i + k
is 4, which is longer than the length of the nums
array. So, to find the new spot for 3
, we should do (i + k) % nums.length
, or 4 % 3
, which is 1
. So, we should move the element 3
to the index 1
in arr
, giving us the final result of this problem.
Coding the second approach
To start out this solution, we'll do the same modifications to k
that we did in the first approach. We'll then initialize a new, empty array called arr
.
function rotate2(nums, k) {
k = k % nums.length;
let arr = [];
//...
}
Now, we'll use a for loop to go through every element in nums
. At each index, we'll place that element in the new spot in arr
. We can find that new spot by doing (i + k) % nums.length
. So, we'll set arr[(i + k) % nums.length]
equal to nums[i]
.
function rotate2(nums, k) {
k = k % nums.length;
let arr = [];
for (let i = 0; i < nums.length; i++) {
arr[(i + k) % nums.length] = nums[i];
}
//...
}
Now, arr
will be the rotated array that we want. However, in this problem, we should be modifying the nums
array, so we have to set each index in nums
equal to the value at that index in arr
. To do this, we can set up another for loop. At each index, we'll set nums[i]
equal to arr[i]
. When the for loop ends, we can return nums
.
function rotate2(nums, k) {
k = k % nums.length;
let arr = [];
for (let i = 0; i < nums.length; i++) {
arr[(i + k) % nums.length] = nums[i];
}
for (let i = 0; i < nums.length; i++) {
nums[i] = arr[i];
}
return nums;
}
This second approach is done in linear time (O(n)) and linear space (O(n)).
Approach #3: Reversing the Sections
In this third approach, we're going to be reversing parts of the nums
array three times. The first time, we'll reverse the entire array. The second time, we'll reverse the first k
elements of the array. The third time, we'll reverse the final elements of the array, from k
to the end.
The idea behind this approach can best be seen with an example. We'll start with the array [1, 2, 3, 4, 5]
, and we're going to want to rotate it 2 steps. We'll start by rotating the entire array.
Now, we'll want to rotate the first k
elements. Since k
is 2, we'll rotate the elements at 0 and 1.
Finally, we'll rotate the last elements, from index k
to the end. This gives us the final array that we want.
Coding the third approach
To code this solution, we'll write a function called reverse
within the rotate
function, and we'll call it three times. To start, however, we'll do the same modification to k
that we did in the previous two approaches.
function rotate3(nums, k) {
k = k % nums.length;
//...
}
Then, we'll call the function reverse
(which we'll write in a minute), and we'll call it three times. reverse()
will take in the array, the index to start reversing, and the index to end reversing. So, the first call to reverse()
will pass in nums
, 0
(as the start index), and nums.length-1
(as the end index). The second call to reverse()
will pass in nums
, 0
(as the start index), and k-1
(as the end index). The third call to reverse()
will pass in nums
, k
(as the start index), and nums.length-1
(as the end index).
function rotate3(nums, k) {
k = k % nums.length;
reverse(nums, 0, nums.length - 1);
reverse(nums, 0, k - 1);
reverse(nums, k, nums.length - 1);
//...
}
Now, we can write the function reverse
, whose parameters will be nums
, start
, and end
. In this function, we'll switch the values at the start and end index, and will move start and end toward the center. We'll keep doing this as long as start is less than end.
So, we'll write a while loop, that will keep going as long as start is less than end. Inside the loop, we'll keep a temporary variable that will store the value of the nums array at the start index. Then, we'll set the value at the start index equal to the value at the end index, and the value at the end index equal to the temporary variable. We'll move start toward the middle by incrementing it, and we'll move the end toward the middle by decrementing it. Finally, when the while loop is done executing, we'll return nums
to the rotate
function.
function rotate3(nums, k) {
k = k % nums.length;
reverse(nums, 0, nums.length - 1);
reverse(nums, 0, k - 1);
reverse(nums, k, nums.length - 1);
//...
function reverse(nums, start, end) {
while (start < end) {
let temporary = nums[start];
nums[start] = nums[end];
nums[end] = temporary;
start++;
end--;
}
return nums;
}
}
Once each reverse()
function is done executing, the final thing to do will be to return nums
.
function rotate3(nums, k) {
k = k % nums.length;
reverse(nums, 0, nums.length - 1);
reverse(nums, 0, k - 1);
reverse(nums, k, nums.length - 1);
return nums;
function reverse(nums, start, end) {
while (start < end) {
let temporary = nums[start];
nums[start] = nums[end];
nums[end] = temporary;
start++;
end--;
}
return nums;
}
}
This solution is done in linear time (O(n)) and constant space (O(1)).
--
Let me know in the comments if you have any questions or ideas for other ways to solve this!
Posted on June 12, 2020
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