Q: LeetCode 189. Rotate Array












3














I have a working solution for this problem that was accepted in LeetCode:



"Given an array, rotate the array to the right by k steps, where k is non-negative."



function rotate(nums, k) {
for (let i = 1; i <= k; i += 1) {
const poppedNum = nums.pop();
nums.unshift(poppedNum);
}

return nums;
}

// rotate([1, 2, 3, 4, 5, 6, 7], 3) -> [5, 6, 7, 1, 2, 3, 4]


Questions:




  • Would the time complexity be O(k) and space complexity be O(1)?


  • Is there a better way to solve this? The question asked to rotate the elements in-place if possible, but I am not sure how to accomplish this at the moment.











share|improve this question







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davidatthepark is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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    3














    I have a working solution for this problem that was accepted in LeetCode:



    "Given an array, rotate the array to the right by k steps, where k is non-negative."



    function rotate(nums, k) {
    for (let i = 1; i <= k; i += 1) {
    const poppedNum = nums.pop();
    nums.unshift(poppedNum);
    }

    return nums;
    }

    // rotate([1, 2, 3, 4, 5, 6, 7], 3) -> [5, 6, 7, 1, 2, 3, 4]


    Questions:




    • Would the time complexity be O(k) and space complexity be O(1)?


    • Is there a better way to solve this? The question asked to rotate the elements in-place if possible, but I am not sure how to accomplish this at the moment.











    share|improve this question







    New contributor




    davidatthepark is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.























      3












      3








      3







      I have a working solution for this problem that was accepted in LeetCode:



      "Given an array, rotate the array to the right by k steps, where k is non-negative."



      function rotate(nums, k) {
      for (let i = 1; i <= k; i += 1) {
      const poppedNum = nums.pop();
      nums.unshift(poppedNum);
      }

      return nums;
      }

      // rotate([1, 2, 3, 4, 5, 6, 7], 3) -> [5, 6, 7, 1, 2, 3, 4]


      Questions:




      • Would the time complexity be O(k) and space complexity be O(1)?


      • Is there a better way to solve this? The question asked to rotate the elements in-place if possible, but I am not sure how to accomplish this at the moment.











      share|improve this question







      New contributor




      davidatthepark is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      I have a working solution for this problem that was accepted in LeetCode:



      "Given an array, rotate the array to the right by k steps, where k is non-negative."



      function rotate(nums, k) {
      for (let i = 1; i <= k; i += 1) {
      const poppedNum = nums.pop();
      nums.unshift(poppedNum);
      }

      return nums;
      }

      // rotate([1, 2, 3, 4, 5, 6, 7], 3) -> [5, 6, 7, 1, 2, 3, 4]


      Questions:




      • Would the time complexity be O(k) and space complexity be O(1)?


      • Is there a better way to solve this? The question asked to rotate the elements in-place if possible, but I am not sure how to accomplish this at the moment.








      javascript algorithm interview-questions






      share|improve this question







      New contributor




      davidatthepark is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question







      New contributor




      davidatthepark is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|improve this question




      share|improve this question






      New contributor




      davidatthepark is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      asked 6 hours ago









      davidatthepark

      1213




      1213




      New contributor




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      New contributor





      davidatthepark is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






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          2 Answers
          2






          active

          oldest

          votes


















          2














          Review



          Not bad, but there is room for a few improvements to avoid some possible problematic input arguments.



          Style



          Some points on your code.




          • The names nums and k could be better, maybe array and rotateBy

          • Try to avoid one use variables unless it makes the lines using them to long. Thus you can pop and unshift in one line nums.unshift(nums.pop());

          • Idiomatic javascript uses zero based loop counters rather than starting at 1. Thus the loop would be for (let i = 0; i < k; i++) {


          Complexity



          Your complexity is O(n) and storage O(1) where n is the number of rotations, the range of n is > 0



          However consider the next examples



          rotate([1,2,3,4,5,6,7,8,9], 18); // Will rotate 18 times same as rotate 0
          rotate([1,2,3,4,5,6,7,8,9], 8); // Will rotate 8 times same as rotate left 1
          rotate([1], 8e9); // Will spend a lot of time not changing anything


          Your function will do too much work if the rotations are outside the expected ranges, the rotation can be done in reverse in less steps, or rotating has no effect.



          You can limit the complexity to O(n) where n <= array.length / 2



          Rewrite



          This is a slight improvement on your function to ensure you don't rotate more than needed.



          function rotate(array, rotateBy) {
          rotateBy %= array.length;
          if (rotateBy < array.length - rotateBy) {
          while (rotateBy--) { array.unshift(array.pop()) }
          } else {
          rotateBy = array.length - rotateBy;
          while (rotateBy--) { array.push(array.shift()) }
          }
          return array;
          }


          You could also use Array.splice



           array.unshift(...array.splice(-rotateBy,rotateBy));


          However under the hood the complexity would be a little greater O(2n) (which is still O(n)) as splice steps over each item to remove and add to a new array. Then ... steps over them again to unshift each item to the array.



          The storage would also increase as the spliced array is held in memory until the code has finished unshifting them making storage O(n)



          If the array contained all the same values the rotation would have no effect thus all rotation could be done in O(1). However there is no way to know this without checking each item in turn.






          share|improve this answer































            0














            The time complexity really depends on the unshift time complexity. ECMA does not specify it, but I would expect that it is not constant. I would not be surprised if it is actually linear in the size of the array. If so, the complexity of rotate would be $O(nk)$.



            In fact, I tested the performance of your code by timing your rotate by 1, for arrays of size from 100000 to 100000000, doubling the size every time. The results (in milliseconds) are



            1, 3, 8, 14, 29, 33, 69, 229, 447, 926


            I did few runs, the exact numbers were different, but consistent. You can see that as size doubles the run time (at lest) doubles as well.



            And again, it was rotation by 1. Rotation by k will take proportionally longer.





            There are few classic algorithms which perform the rotation in true $O(n)$ complexity, that is their execution time does not depend on k. One is extremely simple to code, but takes effort to comprehend. In pseudocode:



                reverse(0, k)
            reverse(k, n)
            reverse(0, n)


            Notice that each element is moved twice. This is suboptimal. Another algorithm moves each element exactly once - right into the place where it belongs. I don't want to spoil the fun of discovering it. Try to figure it out (hint: it needs to compute gcd(n, k)).





            That said, the leetcode problem only asks to print the rotated array. I would seriously consider to not actually perform rotation, but



                print values from n-k to n
            print values from 0 to n-k


            It feels like cheating, but in fact it is valid, and sometimes very useful technique.






            share|improve this answer





















              Your Answer





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              2 Answers
              2






              active

              oldest

              votes








              2 Answers
              2






              active

              oldest

              votes









              active

              oldest

              votes






              active

              oldest

              votes









              2














              Review



              Not bad, but there is room for a few improvements to avoid some possible problematic input arguments.



              Style



              Some points on your code.




              • The names nums and k could be better, maybe array and rotateBy

              • Try to avoid one use variables unless it makes the lines using them to long. Thus you can pop and unshift in one line nums.unshift(nums.pop());

              • Idiomatic javascript uses zero based loop counters rather than starting at 1. Thus the loop would be for (let i = 0; i < k; i++) {


              Complexity



              Your complexity is O(n) and storage O(1) where n is the number of rotations, the range of n is > 0



              However consider the next examples



              rotate([1,2,3,4,5,6,7,8,9], 18); // Will rotate 18 times same as rotate 0
              rotate([1,2,3,4,5,6,7,8,9], 8); // Will rotate 8 times same as rotate left 1
              rotate([1], 8e9); // Will spend a lot of time not changing anything


              Your function will do too much work if the rotations are outside the expected ranges, the rotation can be done in reverse in less steps, or rotating has no effect.



              You can limit the complexity to O(n) where n <= array.length / 2



              Rewrite



              This is a slight improvement on your function to ensure you don't rotate more than needed.



              function rotate(array, rotateBy) {
              rotateBy %= array.length;
              if (rotateBy < array.length - rotateBy) {
              while (rotateBy--) { array.unshift(array.pop()) }
              } else {
              rotateBy = array.length - rotateBy;
              while (rotateBy--) { array.push(array.shift()) }
              }
              return array;
              }


              You could also use Array.splice



               array.unshift(...array.splice(-rotateBy,rotateBy));


              However under the hood the complexity would be a little greater O(2n) (which is still O(n)) as splice steps over each item to remove and add to a new array. Then ... steps over them again to unshift each item to the array.



              The storage would also increase as the spliced array is held in memory until the code has finished unshifting them making storage O(n)



              If the array contained all the same values the rotation would have no effect thus all rotation could be done in O(1). However there is no way to know this without checking each item in turn.






              share|improve this answer




























                2














                Review



                Not bad, but there is room for a few improvements to avoid some possible problematic input arguments.



                Style



                Some points on your code.




                • The names nums and k could be better, maybe array and rotateBy

                • Try to avoid one use variables unless it makes the lines using them to long. Thus you can pop and unshift in one line nums.unshift(nums.pop());

                • Idiomatic javascript uses zero based loop counters rather than starting at 1. Thus the loop would be for (let i = 0; i < k; i++) {


                Complexity



                Your complexity is O(n) and storage O(1) where n is the number of rotations, the range of n is > 0



                However consider the next examples



                rotate([1,2,3,4,5,6,7,8,9], 18); // Will rotate 18 times same as rotate 0
                rotate([1,2,3,4,5,6,7,8,9], 8); // Will rotate 8 times same as rotate left 1
                rotate([1], 8e9); // Will spend a lot of time not changing anything


                Your function will do too much work if the rotations are outside the expected ranges, the rotation can be done in reverse in less steps, or rotating has no effect.



                You can limit the complexity to O(n) where n <= array.length / 2



                Rewrite



                This is a slight improvement on your function to ensure you don't rotate more than needed.



                function rotate(array, rotateBy) {
                rotateBy %= array.length;
                if (rotateBy < array.length - rotateBy) {
                while (rotateBy--) { array.unshift(array.pop()) }
                } else {
                rotateBy = array.length - rotateBy;
                while (rotateBy--) { array.push(array.shift()) }
                }
                return array;
                }


                You could also use Array.splice



                 array.unshift(...array.splice(-rotateBy,rotateBy));


                However under the hood the complexity would be a little greater O(2n) (which is still O(n)) as splice steps over each item to remove and add to a new array. Then ... steps over them again to unshift each item to the array.



                The storage would also increase as the spliced array is held in memory until the code has finished unshifting them making storage O(n)



                If the array contained all the same values the rotation would have no effect thus all rotation could be done in O(1). However there is no way to know this without checking each item in turn.






                share|improve this answer


























                  2












                  2








                  2






                  Review



                  Not bad, but there is room for a few improvements to avoid some possible problematic input arguments.



                  Style



                  Some points on your code.




                  • The names nums and k could be better, maybe array and rotateBy

                  • Try to avoid one use variables unless it makes the lines using them to long. Thus you can pop and unshift in one line nums.unshift(nums.pop());

                  • Idiomatic javascript uses zero based loop counters rather than starting at 1. Thus the loop would be for (let i = 0; i < k; i++) {


                  Complexity



                  Your complexity is O(n) and storage O(1) where n is the number of rotations, the range of n is > 0



                  However consider the next examples



                  rotate([1,2,3,4,5,6,7,8,9], 18); // Will rotate 18 times same as rotate 0
                  rotate([1,2,3,4,5,6,7,8,9], 8); // Will rotate 8 times same as rotate left 1
                  rotate([1], 8e9); // Will spend a lot of time not changing anything


                  Your function will do too much work if the rotations are outside the expected ranges, the rotation can be done in reverse in less steps, or rotating has no effect.



                  You can limit the complexity to O(n) where n <= array.length / 2



                  Rewrite



                  This is a slight improvement on your function to ensure you don't rotate more than needed.



                  function rotate(array, rotateBy) {
                  rotateBy %= array.length;
                  if (rotateBy < array.length - rotateBy) {
                  while (rotateBy--) { array.unshift(array.pop()) }
                  } else {
                  rotateBy = array.length - rotateBy;
                  while (rotateBy--) { array.push(array.shift()) }
                  }
                  return array;
                  }


                  You could also use Array.splice



                   array.unshift(...array.splice(-rotateBy,rotateBy));


                  However under the hood the complexity would be a little greater O(2n) (which is still O(n)) as splice steps over each item to remove and add to a new array. Then ... steps over them again to unshift each item to the array.



                  The storage would also increase as the spliced array is held in memory until the code has finished unshifting them making storage O(n)



                  If the array contained all the same values the rotation would have no effect thus all rotation could be done in O(1). However there is no way to know this without checking each item in turn.






                  share|improve this answer














                  Review



                  Not bad, but there is room for a few improvements to avoid some possible problematic input arguments.



                  Style



                  Some points on your code.




                  • The names nums and k could be better, maybe array and rotateBy

                  • Try to avoid one use variables unless it makes the lines using them to long. Thus you can pop and unshift in one line nums.unshift(nums.pop());

                  • Idiomatic javascript uses zero based loop counters rather than starting at 1. Thus the loop would be for (let i = 0; i < k; i++) {


                  Complexity



                  Your complexity is O(n) and storage O(1) where n is the number of rotations, the range of n is > 0



                  However consider the next examples



                  rotate([1,2,3,4,5,6,7,8,9], 18); // Will rotate 18 times same as rotate 0
                  rotate([1,2,3,4,5,6,7,8,9], 8); // Will rotate 8 times same as rotate left 1
                  rotate([1], 8e9); // Will spend a lot of time not changing anything


                  Your function will do too much work if the rotations are outside the expected ranges, the rotation can be done in reverse in less steps, or rotating has no effect.



                  You can limit the complexity to O(n) where n <= array.length / 2



                  Rewrite



                  This is a slight improvement on your function to ensure you don't rotate more than needed.



                  function rotate(array, rotateBy) {
                  rotateBy %= array.length;
                  if (rotateBy < array.length - rotateBy) {
                  while (rotateBy--) { array.unshift(array.pop()) }
                  } else {
                  rotateBy = array.length - rotateBy;
                  while (rotateBy--) { array.push(array.shift()) }
                  }
                  return array;
                  }


                  You could also use Array.splice



                   array.unshift(...array.splice(-rotateBy,rotateBy));


                  However under the hood the complexity would be a little greater O(2n) (which is still O(n)) as splice steps over each item to remove and add to a new array. Then ... steps over them again to unshift each item to the array.



                  The storage would also increase as the spliced array is held in memory until the code has finished unshifting them making storage O(n)



                  If the array contained all the same values the rotation would have no effect thus all rotation could be done in O(1). However there is no way to know this without checking each item in turn.







                  share|improve this answer














                  share|improve this answer



                  share|improve this answer








                  edited 4 hours ago

























                  answered 5 hours ago









                  Blindman67

                  7,0421521




                  7,0421521

























                      0














                      The time complexity really depends on the unshift time complexity. ECMA does not specify it, but I would expect that it is not constant. I would not be surprised if it is actually linear in the size of the array. If so, the complexity of rotate would be $O(nk)$.



                      In fact, I tested the performance of your code by timing your rotate by 1, for arrays of size from 100000 to 100000000, doubling the size every time. The results (in milliseconds) are



                      1, 3, 8, 14, 29, 33, 69, 229, 447, 926


                      I did few runs, the exact numbers were different, but consistent. You can see that as size doubles the run time (at lest) doubles as well.



                      And again, it was rotation by 1. Rotation by k will take proportionally longer.





                      There are few classic algorithms which perform the rotation in true $O(n)$ complexity, that is their execution time does not depend on k. One is extremely simple to code, but takes effort to comprehend. In pseudocode:



                          reverse(0, k)
                      reverse(k, n)
                      reverse(0, n)


                      Notice that each element is moved twice. This is suboptimal. Another algorithm moves each element exactly once - right into the place where it belongs. I don't want to spoil the fun of discovering it. Try to figure it out (hint: it needs to compute gcd(n, k)).





                      That said, the leetcode problem only asks to print the rotated array. I would seriously consider to not actually perform rotation, but



                          print values from n-k to n
                      print values from 0 to n-k


                      It feels like cheating, but in fact it is valid, and sometimes very useful technique.






                      share|improve this answer


























                        0














                        The time complexity really depends on the unshift time complexity. ECMA does not specify it, but I would expect that it is not constant. I would not be surprised if it is actually linear in the size of the array. If so, the complexity of rotate would be $O(nk)$.



                        In fact, I tested the performance of your code by timing your rotate by 1, for arrays of size from 100000 to 100000000, doubling the size every time. The results (in milliseconds) are



                        1, 3, 8, 14, 29, 33, 69, 229, 447, 926


                        I did few runs, the exact numbers were different, but consistent. You can see that as size doubles the run time (at lest) doubles as well.



                        And again, it was rotation by 1. Rotation by k will take proportionally longer.





                        There are few classic algorithms which perform the rotation in true $O(n)$ complexity, that is their execution time does not depend on k. One is extremely simple to code, but takes effort to comprehend. In pseudocode:



                            reverse(0, k)
                        reverse(k, n)
                        reverse(0, n)


                        Notice that each element is moved twice. This is suboptimal. Another algorithm moves each element exactly once - right into the place where it belongs. I don't want to spoil the fun of discovering it. Try to figure it out (hint: it needs to compute gcd(n, k)).





                        That said, the leetcode problem only asks to print the rotated array. I would seriously consider to not actually perform rotation, but



                            print values from n-k to n
                        print values from 0 to n-k


                        It feels like cheating, but in fact it is valid, and sometimes very useful technique.






                        share|improve this answer
























                          0












                          0








                          0






                          The time complexity really depends on the unshift time complexity. ECMA does not specify it, but I would expect that it is not constant. I would not be surprised if it is actually linear in the size of the array. If so, the complexity of rotate would be $O(nk)$.



                          In fact, I tested the performance of your code by timing your rotate by 1, for arrays of size from 100000 to 100000000, doubling the size every time. The results (in milliseconds) are



                          1, 3, 8, 14, 29, 33, 69, 229, 447, 926


                          I did few runs, the exact numbers were different, but consistent. You can see that as size doubles the run time (at lest) doubles as well.



                          And again, it was rotation by 1. Rotation by k will take proportionally longer.





                          There are few classic algorithms which perform the rotation in true $O(n)$ complexity, that is their execution time does not depend on k. One is extremely simple to code, but takes effort to comprehend. In pseudocode:



                              reverse(0, k)
                          reverse(k, n)
                          reverse(0, n)


                          Notice that each element is moved twice. This is suboptimal. Another algorithm moves each element exactly once - right into the place where it belongs. I don't want to spoil the fun of discovering it. Try to figure it out (hint: it needs to compute gcd(n, k)).





                          That said, the leetcode problem only asks to print the rotated array. I would seriously consider to not actually perform rotation, but



                              print values from n-k to n
                          print values from 0 to n-k


                          It feels like cheating, but in fact it is valid, and sometimes very useful technique.






                          share|improve this answer












                          The time complexity really depends on the unshift time complexity. ECMA does not specify it, but I would expect that it is not constant. I would not be surprised if it is actually linear in the size of the array. If so, the complexity of rotate would be $O(nk)$.



                          In fact, I tested the performance of your code by timing your rotate by 1, for arrays of size from 100000 to 100000000, doubling the size every time. The results (in milliseconds) are



                          1, 3, 8, 14, 29, 33, 69, 229, 447, 926


                          I did few runs, the exact numbers were different, but consistent. You can see that as size doubles the run time (at lest) doubles as well.



                          And again, it was rotation by 1. Rotation by k will take proportionally longer.





                          There are few classic algorithms which perform the rotation in true $O(n)$ complexity, that is their execution time does not depend on k. One is extremely simple to code, but takes effort to comprehend. In pseudocode:



                              reverse(0, k)
                          reverse(k, n)
                          reverse(0, n)


                          Notice that each element is moved twice. This is suboptimal. Another algorithm moves each element exactly once - right into the place where it belongs. I don't want to spoil the fun of discovering it. Try to figure it out (hint: it needs to compute gcd(n, k)).





                          That said, the leetcode problem only asks to print the rotated array. I would seriously consider to not actually perform rotation, but



                              print values from n-k to n
                          print values from 0 to n-k


                          It feels like cheating, but in fact it is valid, and sometimes very useful technique.







                          share|improve this answer












                          share|improve this answer



                          share|improve this answer










                          answered 3 hours ago









                          vnp

                          38.5k13097




                          38.5k13097






















                              davidatthepark is a new contributor. Be nice, and check out our Code of Conduct.










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