HackerRank - Left Rotation in JavaScript












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$begingroup$


I'm looking to learn more about data structures, time complexity, and efficient algorithms. I have solved the Left Rotation Problem
on HackerRank using JavaScript. I am looking to see ways to optimize the time complexity. I feel like I have a lot to learn, as don't grok Big O.



My solution:



function main() {
const nd = readLine().split(' ')
const numbers = parseInt(nd[0], 10)
const rotations = parseInt(nd[1], 10)
const arr = readLine().split(' ').map(aTemp => parseInt(aTemp, 10))
const front = arr.slice(0, rotations)
const back = arr.slice(rotations, numbers)
const new_arr = back.concat(front)
console.log(new_arr.join(' '))
}


I feel like this likely has bad time complexity, as under the hood, I believe the slice function uses a loop and has a time complexity of O(n), in addition, I'm unsure how JavaScript implements the merge from the concat method under the hood.










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New contributor




Justin Bess 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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    0












    $begingroup$


    I'm looking to learn more about data structures, time complexity, and efficient algorithms. I have solved the Left Rotation Problem
    on HackerRank using JavaScript. I am looking to see ways to optimize the time complexity. I feel like I have a lot to learn, as don't grok Big O.



    My solution:



    function main() {
    const nd = readLine().split(' ')
    const numbers = parseInt(nd[0], 10)
    const rotations = parseInt(nd[1], 10)
    const arr = readLine().split(' ').map(aTemp => parseInt(aTemp, 10))
    const front = arr.slice(0, rotations)
    const back = arr.slice(rotations, numbers)
    const new_arr = back.concat(front)
    console.log(new_arr.join(' '))
    }


    I feel like this likely has bad time complexity, as under the hood, I believe the slice function uses a loop and has a time complexity of O(n), in addition, I'm unsure how JavaScript implements the merge from the concat method under the hood.










    share|improve this question







    New contributor




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







    $endgroup$















      0












      0








      0





      $begingroup$


      I'm looking to learn more about data structures, time complexity, and efficient algorithms. I have solved the Left Rotation Problem
      on HackerRank using JavaScript. I am looking to see ways to optimize the time complexity. I feel like I have a lot to learn, as don't grok Big O.



      My solution:



      function main() {
      const nd = readLine().split(' ')
      const numbers = parseInt(nd[0], 10)
      const rotations = parseInt(nd[1], 10)
      const arr = readLine().split(' ').map(aTemp => parseInt(aTemp, 10))
      const front = arr.slice(0, rotations)
      const back = arr.slice(rotations, numbers)
      const new_arr = back.concat(front)
      console.log(new_arr.join(' '))
      }


      I feel like this likely has bad time complexity, as under the hood, I believe the slice function uses a loop and has a time complexity of O(n), in addition, I'm unsure how JavaScript implements the merge from the concat method under the hood.










      share|improve this question







      New contributor




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







      $endgroup$




      I'm looking to learn more about data structures, time complexity, and efficient algorithms. I have solved the Left Rotation Problem
      on HackerRank using JavaScript. I am looking to see ways to optimize the time complexity. I feel like I have a lot to learn, as don't grok Big O.



      My solution:



      function main() {
      const nd = readLine().split(' ')
      const numbers = parseInt(nd[0], 10)
      const rotations = parseInt(nd[1], 10)
      const arr = readLine().split(' ').map(aTemp => parseInt(aTemp, 10))
      const front = arr.slice(0, rotations)
      const back = arr.slice(rotations, numbers)
      const new_arr = back.concat(front)
      console.log(new_arr.join(' '))
      }


      I feel like this likely has bad time complexity, as under the hood, I believe the slice function uses a loop and has a time complexity of O(n), in addition, I'm unsure how JavaScript implements the merge from the concat method under the hood.







      javascript performance






      share|improve this question







      New contributor




      Justin Bess 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




      Justin Bess 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




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









      asked 20 mins ago









      Justin BessJustin Bess

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      New contributor




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





      New contributor





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






      Justin Bess 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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