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How to speed up a process


Alternatives to procedural loops and iterating over lists in MathematicaWhy should I avoid the For loop in Mathematica?Getting lengths of sublists that sum to more than oneHow to speed up multi-curve plotting?Speed up replacement using Rule Dispatch AssocitationReflecting lines in ellipses: speed up the code?Why is CurrencyConvert so slow?Performance of a bootstrap - time of computation not linear with number of iterationsHow to speed up computation of medoids?How to speed up plotting with PlotPoints?How to speed up ListPlot when each point has its own colorIncresing efficiency of the code:













5












$begingroup$


I am wondering how to speed up the following code: Currently it takes more than two sec to be processed.



Timing[For[i = 1;

list = {}, i <= 11111, i++, l = AppendTo[list, i/Pi]];
Total@N@list]


I am new to Wolfram languages and it's the only thing I could come up with.
Any idea ?



Thanks










share|improve this question









$endgroup$

















    5












    $begingroup$


    I am wondering how to speed up the following code: Currently it takes more than two sec to be processed.



    Timing[For[i = 1;

    list = {}, i <= 11111, i++, l = AppendTo[list, i/Pi]];
    Total@N@list]


    I am new to Wolfram languages and it's the only thing I could come up with.
    Any idea ?



    Thanks










    share|improve this question









    $endgroup$















      5












      5








      5





      $begingroup$


      I am wondering how to speed up the following code: Currently it takes more than two sec to be processed.



      Timing[For[i = 1;

      list = {}, i <= 11111, i++, l = AppendTo[list, i/Pi]];
      Total@N@list]


      I am new to Wolfram languages and it's the only thing I could come up with.
      Any idea ?



      Thanks










      share|improve this question









      $endgroup$




      I am wondering how to speed up the following code: Currently it takes more than two sec to be processed.



      Timing[For[i = 1;

      list = {}, i <= 11111, i++, l = AppendTo[list, i/Pi]];
      Total@N@list]


      I am new to Wolfram languages and it's the only thing I could come up with.
      Any idea ?



      Thanks







      performance-tuning timing






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked 7 hours ago









      LittleFingerLittleFinger

      864




      864






















          3 Answers
          3






          active

          oldest

          votes


















          6












          $begingroup$

          You can see in @MarcoB's answer the enormous speed up possible.



          Even for your code, if you replace the AppendTo with a different structure, you can get orders of magnitude improvement.



          Your code here - note that we don't need l for anything.



          ( For[i = 1; list = {}, i <= 11111, i++, AppendTo[list, i/Pi]];
          Total@N@list ) //AbsoluteTiming



          {2.12476, 1.96501*10^7}




          Slight modification results in factor of 100 speed up.



          (For[i = 1; list = {}, i <= 11111, i++, list = {list, i/Pi}];
          Total@N@Flatten@list) // AbsoluteTiming



          {0.0287278, 1.96501*10^7}







          share|improve this answer









          $endgroup$





















            9












            $begingroup$

            Total@Range[11111]/Pi // N

            (*Out: 1.96501*10^7 *)




            In general:




            • avoid For loops: see: Why should I avoid the For loop in Mathematica?

            • avoid Append / AppendTo because they generate a new list every time you add an element; instead, generate lists with Table, Array, Range, Reap / Sow instead;

            • See also: Alternatives to procedural loops and iterating over lists in Mathematica




            Just for some timing context, and to compare For with Do:



            n = 10^6; rpt = RepeatedTiming;

            (For[i = 1; list = {}, i <= n, i++, list = {list, i}]; Total@N@Flatten[list];) // rpt
            (For[i = 1; list = {}, i <= n, i++, list = {list, i}]; N@Total@Flatten[list];) // rpt

            (list = {}; Do[list = {list, i}, {i, n}]; Total@N@Flatten[list];) // rpt
            (list = {}; Do[list = {list, i}, {i, n}]; N@Total@Flatten[list];) // rpt

            Total@N@Range[n]; // rpt
            N@Total@Range[n]; // rpt

            n (n + 1)/2.; // rpt



            (* Out:

            For loops: 1.35 s
            1.40 s

            Do loops: 0.980 s
            0.887 s

            Range: 0.01 s
            0.007 s

            formula: 1 x 10^-6 s

            *)





            share|improve this answer











            $endgroup$













            • $begingroup$
              Of course, you don't need to know the formula. Mathematica will work it out for you in fraction of the time it took to do the For loop.
              $endgroup$
              – mikado
              5 hours ago



















            5












            $begingroup$

            n = 11111;
            Total@Range[11111]/Pi // N // RepeatedTiming
            n (n + 1)/(2. Pi)// RepeatedTiming



            {0.000034, 1.96501*10^7}



            {1.2*10^-6, 1.96501*10^7}







            share|improve this answer











            $endgroup$









            • 1




              $begingroup$
              He. Good old Carl Friedrich to the rescue... :-) I'd go for n (n + 1)/2. / Pi then, to avoid N and squeeze the last few microseconds out
              $endgroup$
              – MarcoB
              6 hours ago













            Your Answer





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            3 Answers
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            3 Answers
            3






            active

            oldest

            votes









            active

            oldest

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            active

            oldest

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            6












            $begingroup$

            You can see in @MarcoB's answer the enormous speed up possible.



            Even for your code, if you replace the AppendTo with a different structure, you can get orders of magnitude improvement.



            Your code here - note that we don't need l for anything.



            ( For[i = 1; list = {}, i <= 11111, i++, AppendTo[list, i/Pi]];
            Total@N@list ) //AbsoluteTiming



            {2.12476, 1.96501*10^7}




            Slight modification results in factor of 100 speed up.



            (For[i = 1; list = {}, i <= 11111, i++, list = {list, i/Pi}];
            Total@N@Flatten@list) // AbsoluteTiming



            {0.0287278, 1.96501*10^7}







            share|improve this answer









            $endgroup$


















              6












              $begingroup$

              You can see in @MarcoB's answer the enormous speed up possible.



              Even for your code, if you replace the AppendTo with a different structure, you can get orders of magnitude improvement.



              Your code here - note that we don't need l for anything.



              ( For[i = 1; list = {}, i <= 11111, i++, AppendTo[list, i/Pi]];
              Total@N@list ) //AbsoluteTiming



              {2.12476, 1.96501*10^7}




              Slight modification results in factor of 100 speed up.



              (For[i = 1; list = {}, i <= 11111, i++, list = {list, i/Pi}];
              Total@N@Flatten@list) // AbsoluteTiming



              {0.0287278, 1.96501*10^7}







              share|improve this answer









              $endgroup$
















                6












                6








                6





                $begingroup$

                You can see in @MarcoB's answer the enormous speed up possible.



                Even for your code, if you replace the AppendTo with a different structure, you can get orders of magnitude improvement.



                Your code here - note that we don't need l for anything.



                ( For[i = 1; list = {}, i <= 11111, i++, AppendTo[list, i/Pi]];
                Total@N@list ) //AbsoluteTiming



                {2.12476, 1.96501*10^7}




                Slight modification results in factor of 100 speed up.



                (For[i = 1; list = {}, i <= 11111, i++, list = {list, i/Pi}];
                Total@N@Flatten@list) // AbsoluteTiming



                {0.0287278, 1.96501*10^7}







                share|improve this answer









                $endgroup$



                You can see in @MarcoB's answer the enormous speed up possible.



                Even for your code, if you replace the AppendTo with a different structure, you can get orders of magnitude improvement.



                Your code here - note that we don't need l for anything.



                ( For[i = 1; list = {}, i <= 11111, i++, AppendTo[list, i/Pi]];
                Total@N@list ) //AbsoluteTiming



                {2.12476, 1.96501*10^7}




                Slight modification results in factor of 100 speed up.



                (For[i = 1; list = {}, i <= 11111, i++, list = {list, i/Pi}];
                Total@N@Flatten@list) // AbsoluteTiming



                {0.0287278, 1.96501*10^7}








                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered 6 hours ago









                MikeYMikeY

                3,208514




                3,208514























                    9












                    $begingroup$

                    Total@Range[11111]/Pi // N

                    (*Out: 1.96501*10^7 *)




                    In general:




                    • avoid For loops: see: Why should I avoid the For loop in Mathematica?

                    • avoid Append / AppendTo because they generate a new list every time you add an element; instead, generate lists with Table, Array, Range, Reap / Sow instead;

                    • See also: Alternatives to procedural loops and iterating over lists in Mathematica




                    Just for some timing context, and to compare For with Do:



                    n = 10^6; rpt = RepeatedTiming;

                    (For[i = 1; list = {}, i <= n, i++, list = {list, i}]; Total@N@Flatten[list];) // rpt
                    (For[i = 1; list = {}, i <= n, i++, list = {list, i}]; N@Total@Flatten[list];) // rpt

                    (list = {}; Do[list = {list, i}, {i, n}]; Total@N@Flatten[list];) // rpt
                    (list = {}; Do[list = {list, i}, {i, n}]; N@Total@Flatten[list];) // rpt

                    Total@N@Range[n]; // rpt
                    N@Total@Range[n]; // rpt

                    n (n + 1)/2.; // rpt



                    (* Out:

                    For loops: 1.35 s
                    1.40 s

                    Do loops: 0.980 s
                    0.887 s

                    Range: 0.01 s
                    0.007 s

                    formula: 1 x 10^-6 s

                    *)





                    share|improve this answer











                    $endgroup$













                    • $begingroup$
                      Of course, you don't need to know the formula. Mathematica will work it out for you in fraction of the time it took to do the For loop.
                      $endgroup$
                      – mikado
                      5 hours ago
















                    9












                    $begingroup$

                    Total@Range[11111]/Pi // N

                    (*Out: 1.96501*10^7 *)




                    In general:




                    • avoid For loops: see: Why should I avoid the For loop in Mathematica?

                    • avoid Append / AppendTo because they generate a new list every time you add an element; instead, generate lists with Table, Array, Range, Reap / Sow instead;

                    • See also: Alternatives to procedural loops and iterating over lists in Mathematica




                    Just for some timing context, and to compare For with Do:



                    n = 10^6; rpt = RepeatedTiming;

                    (For[i = 1; list = {}, i <= n, i++, list = {list, i}]; Total@N@Flatten[list];) // rpt
                    (For[i = 1; list = {}, i <= n, i++, list = {list, i}]; N@Total@Flatten[list];) // rpt

                    (list = {}; Do[list = {list, i}, {i, n}]; Total@N@Flatten[list];) // rpt
                    (list = {}; Do[list = {list, i}, {i, n}]; N@Total@Flatten[list];) // rpt

                    Total@N@Range[n]; // rpt
                    N@Total@Range[n]; // rpt

                    n (n + 1)/2.; // rpt



                    (* Out:

                    For loops: 1.35 s
                    1.40 s

                    Do loops: 0.980 s
                    0.887 s

                    Range: 0.01 s
                    0.007 s

                    formula: 1 x 10^-6 s

                    *)





                    share|improve this answer











                    $endgroup$













                    • $begingroup$
                      Of course, you don't need to know the formula. Mathematica will work it out for you in fraction of the time it took to do the For loop.
                      $endgroup$
                      – mikado
                      5 hours ago














                    9












                    9








                    9





                    $begingroup$

                    Total@Range[11111]/Pi // N

                    (*Out: 1.96501*10^7 *)




                    In general:




                    • avoid For loops: see: Why should I avoid the For loop in Mathematica?

                    • avoid Append / AppendTo because they generate a new list every time you add an element; instead, generate lists with Table, Array, Range, Reap / Sow instead;

                    • See also: Alternatives to procedural loops and iterating over lists in Mathematica




                    Just for some timing context, and to compare For with Do:



                    n = 10^6; rpt = RepeatedTiming;

                    (For[i = 1; list = {}, i <= n, i++, list = {list, i}]; Total@N@Flatten[list];) // rpt
                    (For[i = 1; list = {}, i <= n, i++, list = {list, i}]; N@Total@Flatten[list];) // rpt

                    (list = {}; Do[list = {list, i}, {i, n}]; Total@N@Flatten[list];) // rpt
                    (list = {}; Do[list = {list, i}, {i, n}]; N@Total@Flatten[list];) // rpt

                    Total@N@Range[n]; // rpt
                    N@Total@Range[n]; // rpt

                    n (n + 1)/2.; // rpt



                    (* Out:

                    For loops: 1.35 s
                    1.40 s

                    Do loops: 0.980 s
                    0.887 s

                    Range: 0.01 s
                    0.007 s

                    formula: 1 x 10^-6 s

                    *)





                    share|improve this answer











                    $endgroup$



                    Total@Range[11111]/Pi // N

                    (*Out: 1.96501*10^7 *)




                    In general:




                    • avoid For loops: see: Why should I avoid the For loop in Mathematica?

                    • avoid Append / AppendTo because they generate a new list every time you add an element; instead, generate lists with Table, Array, Range, Reap / Sow instead;

                    • See also: Alternatives to procedural loops and iterating over lists in Mathematica




                    Just for some timing context, and to compare For with Do:



                    n = 10^6; rpt = RepeatedTiming;

                    (For[i = 1; list = {}, i <= n, i++, list = {list, i}]; Total@N@Flatten[list];) // rpt
                    (For[i = 1; list = {}, i <= n, i++, list = {list, i}]; N@Total@Flatten[list];) // rpt

                    (list = {}; Do[list = {list, i}, {i, n}]; Total@N@Flatten[list];) // rpt
                    (list = {}; Do[list = {list, i}, {i, n}]; N@Total@Flatten[list];) // rpt

                    Total@N@Range[n]; // rpt
                    N@Total@Range[n]; // rpt

                    n (n + 1)/2.; // rpt



                    (* Out:

                    For loops: 1.35 s
                    1.40 s

                    Do loops: 0.980 s
                    0.887 s

                    Range: 0.01 s
                    0.007 s

                    formula: 1 x 10^-6 s

                    *)






                    share|improve this answer














                    share|improve this answer



                    share|improve this answer








                    edited 5 hours ago

























                    answered 7 hours ago









                    MarcoBMarcoB

                    36.7k556112




                    36.7k556112












                    • $begingroup$
                      Of course, you don't need to know the formula. Mathematica will work it out for you in fraction of the time it took to do the For loop.
                      $endgroup$
                      – mikado
                      5 hours ago


















                    • $begingroup$
                      Of course, you don't need to know the formula. Mathematica will work it out for you in fraction of the time it took to do the For loop.
                      $endgroup$
                      – mikado
                      5 hours ago
















                    $begingroup$
                    Of course, you don't need to know the formula. Mathematica will work it out for you in fraction of the time it took to do the For loop.
                    $endgroup$
                    – mikado
                    5 hours ago




                    $begingroup$
                    Of course, you don't need to know the formula. Mathematica will work it out for you in fraction of the time it took to do the For loop.
                    $endgroup$
                    – mikado
                    5 hours ago











                    5












                    $begingroup$

                    n = 11111;
                    Total@Range[11111]/Pi // N // RepeatedTiming
                    n (n + 1)/(2. Pi)// RepeatedTiming



                    {0.000034, 1.96501*10^7}



                    {1.2*10^-6, 1.96501*10^7}







                    share|improve this answer











                    $endgroup$









                    • 1




                      $begingroup$
                      He. Good old Carl Friedrich to the rescue... :-) I'd go for n (n + 1)/2. / Pi then, to avoid N and squeeze the last few microseconds out
                      $endgroup$
                      – MarcoB
                      6 hours ago


















                    5












                    $begingroup$

                    n = 11111;
                    Total@Range[11111]/Pi // N // RepeatedTiming
                    n (n + 1)/(2. Pi)// RepeatedTiming



                    {0.000034, 1.96501*10^7}



                    {1.2*10^-6, 1.96501*10^7}







                    share|improve this answer











                    $endgroup$









                    • 1




                      $begingroup$
                      He. Good old Carl Friedrich to the rescue... :-) I'd go for n (n + 1)/2. / Pi then, to avoid N and squeeze the last few microseconds out
                      $endgroup$
                      – MarcoB
                      6 hours ago
















                    5












                    5








                    5





                    $begingroup$

                    n = 11111;
                    Total@Range[11111]/Pi // N // RepeatedTiming
                    n (n + 1)/(2. Pi)// RepeatedTiming



                    {0.000034, 1.96501*10^7}



                    {1.2*10^-6, 1.96501*10^7}







                    share|improve this answer











                    $endgroup$



                    n = 11111;
                    Total@Range[11111]/Pi // N // RepeatedTiming
                    n (n + 1)/(2. Pi)// RepeatedTiming



                    {0.000034, 1.96501*10^7}



                    {1.2*10^-6, 1.96501*10^7}








                    share|improve this answer














                    share|improve this answer



                    share|improve this answer








                    edited 6 hours ago

























                    answered 6 hours ago









                    Henrik SchumacherHenrik Schumacher

                    55.4k576154




                    55.4k576154








                    • 1




                      $begingroup$
                      He. Good old Carl Friedrich to the rescue... :-) I'd go for n (n + 1)/2. / Pi then, to avoid N and squeeze the last few microseconds out
                      $endgroup$
                      – MarcoB
                      6 hours ago
















                    • 1




                      $begingroup$
                      He. Good old Carl Friedrich to the rescue... :-) I'd go for n (n + 1)/2. / Pi then, to avoid N and squeeze the last few microseconds out
                      $endgroup$
                      – MarcoB
                      6 hours ago










                    1




                    1




                    $begingroup$
                    He. Good old Carl Friedrich to the rescue... :-) I'd go for n (n + 1)/2. / Pi then, to avoid N and squeeze the last few microseconds out
                    $endgroup$
                    – MarcoB
                    6 hours ago






                    $begingroup$
                    He. Good old Carl Friedrich to the rescue... :-) I'd go for n (n + 1)/2. / Pi then, to avoid N and squeeze the last few microseconds out
                    $endgroup$
                    – MarcoB
                    6 hours ago




















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