Calculating Sqrt of 2

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Since $sqrt2$ is irrational, Is there a way to compute the 20 digits of it?



What I have done so far
I started the first digit decimal of the $sqrt2$ by calculating iterately so that it would not go to 3 so fast. It looks like this :



beginalign
sqrt 2 & = 1.4^2 equiv 1.96\
sqrt 2 & = 1.41^2 equiv 1.9881\
sqrt 2 & = 1.414^2 equiv 1.999396\
& ...
endalign



What I did is to first tell whether it pass such that $1.x^2$ would not greater than to 3.

If that passes, I will add a new decimal to it. Lets say y. $1.xy^2$

If that y fails, I increment y by 1 and square it again.
The process will keep repeating. The bad is that the process takes so much time.










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  • 1




    You can go on trying to compute the square of $1.414x$, where $x$ is a number between $0$ and $9$. The greatest number between $1.4140$ and $1.4149$ such that its square is less then $2$ is your next candidate to repeat the process.
    – Gibbs
    1 hour ago










  • See en.wikipedia.org/wiki/Methods_of_computing_square_roots
    – lhf
    1 hour ago










  • @Gibbs I tried that so far. But the reason is that it takes more time to compute it.
    – MMJM
    1 hour ago














up vote
2
down vote

favorite












Since $sqrt2$ is irrational, Is there a way to compute the 20 digits of it?



What I have done so far
I started the first digit decimal of the $sqrt2$ by calculating iterately so that it would not go to 3 so fast. It looks like this :



beginalign
sqrt 2 & = 1.4^2 equiv 1.96\
sqrt 2 & = 1.41^2 equiv 1.9881\
sqrt 2 & = 1.414^2 equiv 1.999396\
& ...
endalign



What I did is to first tell whether it pass such that $1.x^2$ would not greater than to 3.

If that passes, I will add a new decimal to it. Lets say y. $1.xy^2$

If that y fails, I increment y by 1 and square it again.
The process will keep repeating. The bad is that the process takes so much time.










share|cite|improve this question



















  • 1




    You can go on trying to compute the square of $1.414x$, where $x$ is a number between $0$ and $9$. The greatest number between $1.4140$ and $1.4149$ such that its square is less then $2$ is your next candidate to repeat the process.
    – Gibbs
    1 hour ago










  • See en.wikipedia.org/wiki/Methods_of_computing_square_roots
    – lhf
    1 hour ago










  • @Gibbs I tried that so far. But the reason is that it takes more time to compute it.
    – MMJM
    1 hour ago












up vote
2
down vote

favorite









up vote
2
down vote

favorite











Since $sqrt2$ is irrational, Is there a way to compute the 20 digits of it?



What I have done so far
I started the first digit decimal of the $sqrt2$ by calculating iterately so that it would not go to 3 so fast. It looks like this :



beginalign
sqrt 2 & = 1.4^2 equiv 1.96\
sqrt 2 & = 1.41^2 equiv 1.9881\
sqrt 2 & = 1.414^2 equiv 1.999396\
& ...
endalign



What I did is to first tell whether it pass such that $1.x^2$ would not greater than to 3.

If that passes, I will add a new decimal to it. Lets say y. $1.xy^2$

If that y fails, I increment y by 1 and square it again.
The process will keep repeating. The bad is that the process takes so much time.










share|cite|improve this question















Since $sqrt2$ is irrational, Is there a way to compute the 20 digits of it?



What I have done so far
I started the first digit decimal of the $sqrt2$ by calculating iterately so that it would not go to 3 so fast. It looks like this :



beginalign
sqrt 2 & = 1.4^2 equiv 1.96\
sqrt 2 & = 1.41^2 equiv 1.9881\
sqrt 2 & = 1.414^2 equiv 1.999396\
& ...
endalign



What I did is to first tell whether it pass such that $1.x^2$ would not greater than to 3.

If that passes, I will add a new decimal to it. Lets say y. $1.xy^2$

If that y fails, I increment y by 1 and square it again.
The process will keep repeating. The bad is that the process takes so much time.







approximation radicals






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edited 1 hour ago

























asked 1 hour ago









MMJM

646




646







  • 1




    You can go on trying to compute the square of $1.414x$, where $x$ is a number between $0$ and $9$. The greatest number between $1.4140$ and $1.4149$ such that its square is less then $2$ is your next candidate to repeat the process.
    – Gibbs
    1 hour ago










  • See en.wikipedia.org/wiki/Methods_of_computing_square_roots
    – lhf
    1 hour ago










  • @Gibbs I tried that so far. But the reason is that it takes more time to compute it.
    – MMJM
    1 hour ago












  • 1




    You can go on trying to compute the square of $1.414x$, where $x$ is a number between $0$ and $9$. The greatest number between $1.4140$ and $1.4149$ such that its square is less then $2$ is your next candidate to repeat the process.
    – Gibbs
    1 hour ago










  • See en.wikipedia.org/wiki/Methods_of_computing_square_roots
    – lhf
    1 hour ago










  • @Gibbs I tried that so far. But the reason is that it takes more time to compute it.
    – MMJM
    1 hour ago







1




1




You can go on trying to compute the square of $1.414x$, where $x$ is a number between $0$ and $9$. The greatest number between $1.4140$ and $1.4149$ such that its square is less then $2$ is your next candidate to repeat the process.
– Gibbs
1 hour ago




You can go on trying to compute the square of $1.414x$, where $x$ is a number between $0$ and $9$. The greatest number between $1.4140$ and $1.4149$ such that its square is less then $2$ is your next candidate to repeat the process.
– Gibbs
1 hour ago












See en.wikipedia.org/wiki/Methods_of_computing_square_roots
– lhf
1 hour ago




See en.wikipedia.org/wiki/Methods_of_computing_square_roots
– lhf
1 hour ago












@Gibbs I tried that so far. But the reason is that it takes more time to compute it.
– MMJM
1 hour ago




@Gibbs I tried that so far. But the reason is that it takes more time to compute it.
– MMJM
1 hour ago










5 Answers
5






active

oldest

votes

















up vote
5
down vote













Calculating the square root of a number is one of the first problems tackled with numerical methods, known I think to the ancient Babylonians. The observation is that if $x,,y>0$ and $ynesqrtx$ the $y,,x/y$ will be on opposite sides of $sqrtx$, and we could try averaging them. So try $y_0=1,,y_n+1=frac12(y_n+fracxy_n)$. This is actually the Newton-Raphson method 5xum mentioned. The number of correct decimal places approximately doubles at each stage, i.e. you probably only have to go as far as $y_5$ or so.






share|cite|improve this answer




















  • Definitely one of the fastest methods: $$ y_0 = 1.colortan0;\ y_1 = 1.colortan5;\ y_2 = 1.41colortan666666666666666666666666666...;\ y_3 = 1.41421colortan568627450980392156862745...;\ y_4 = 1.41421356237colortan468991062629557889...;\ y_5 = 1.41421356237309504880168colortan962350...;\ cdots $$
    – Oleg567
    55 mins ago







  • 1




    @Oleg567 We could go even faster with post-Newton Householder methods, but the individual steps become more computationally complex. BTW the calculator you used to check that probably also used Newton-Raphson for the division.
    – J.G.
    52 mins ago










  • The beauty of this method is that the initial estimate can be way off and the method will converge quickly anyway. of course, making an educated guess to pick the initial estimate helps to reduce the number of iterations.
    – Vasya
    49 mins ago










  • Love the intuitive explanation for it!
    – dbx
    30 mins ago

















up vote
1
down vote













Here the way I learnt to obtain decimal digit after decimal digit when I began middle school:



beginarraylcl
2&big( &1.414,21 \[1ex]
1,00&& 24times colorred4=96<100\
-96,&& 25times5=125>100\[1ex]
phantom-04,00&&281timescolorred1<400\
;:-2,81&&282times2>400\[1ex]
phantom-0119,00&&2824timescolorred4<11900\
phantom0-112,96&&2825times5>11900 \[1ex]
phantom00;604,00&&28282timescolorred2 < 60400 \
&&28283times3> 60400
endarray
&c.






share|cite|improve this answer



























    up vote
    0
    down vote













    Newton-Rhapson is a good idea because of the convergence rate. However, I am more of a fan of using Taylor's expansions here since it is super easy to derive on the go to give fairly ok estimates in quite a reasonable time. So, the way to go to find $sqrtx$ is to find first the closest integer which approximates $sqrtx$ and call this $a$, then apply Taylor to $a^2$. Then Taylor says
    $$ sqrtx approx a + (x-a^2)cdot frac12 a - (x-a^2)^2/2 cdot frac14 a^3 + cdots. $$
    The thing that is nice here is that you also get bounds on the error you make. So, denote $f(x) = sqrtx$, then the error of a $n$th order approximation (i.e., going as far as $(x-a^2)^n/n! cdot f^(n)(a^2)$ in the approximation above) is given by $$ (x-a)^n+1/(n+1)! cdot f^(n+1)(xi)$$ for a certain $xi$ between $a^2$ and $x$. This can be estimated quite easily since this $f^(n+1)$ is monotone around $x$. Thus look at the boundaries of the domain of $xi$ and find the 'best' maximal value which you can calculate without a calculator.



    Example for $x=2$. Apparently $1$ is the closest integer to $sqrt2$ and thus we will take $a=1$. Then, let's take a second order approximation
    $$sqrt2 approx 1 + (2-1)cdot frac12 - (2-1)^2/2cdot frac14 = 1 + 0.5 - 0.125 = 1.375 $$
    and the absolute error is given by
    $$ E=left|(2-1)^3/3!cdot frac38 cdot xi^2sqrtxiright| = frac116 cdot frac1xi^2sqrtxi$$
    for a certain $xi$ between $1$ and $2$. Since this is a decreasing function on $(1,2)$. The maximum is attained at $1$ and hence the error is bounded by
    $$ E leq frac116 $$
    which seems to be a good estimate since $E = 0.039dots$ and $1/16 = 0.0625$.






    share|cite|improve this answer





























      up vote
      0
      down vote













      You can compute it manually using the algorithm:



      1. $p=0$, $r=0$, $i=0$

      2. Split the number into sections of two digits

      3. Take i'th section $n_i$, let $k=100t+n_i$

      4. Find the greatest number $x$, such that $$y=x(20p+x)leq k$$

      5. Assign $p=10 p + x$, $i=i+1$, if the accyracy of the result is not satisfied, then return to 3.

      Example:




      02.00 00 00 00 00




      • $n_0 = 2$, $k=2$, therefore for $x=1$: $y=1$ and $p=1$

      • $n_1=0$, $k=100$, so for $x=4$: $y=24*4=96<100$ and $p=14$

      • $n_2=0$, $k=400$, so for $x=1$, $y=281*1=281<400$ and $p=141$

      • $n_3=0$, $k=11900$, so for $x=4$, $y=2824*4=11296<11900$ and $p=1414$

      • $n_4=0$, $k=60400$, so for $x=2$, $y=28282*2=56564<60400$ and $p=14142$

      • $n_5=0$, $k=383600$, so for $x=1$, $y=282841*1=282841<383600$ and $p=141421$

      • ...

      After all just remember to point the comma in place, where it should be, ie. after first number (it depends how many sections were there on the left side of our number), so you'll have:
      $$sqrt2approx 1.41421$$



      To obtain accuracy of 20 numbers after the comma, you should append 20 sections of 00 in the step 2. , ie.:




      02.00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00







      share|cite|improve this answer



























        up vote
        -1
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        The number $sqrt2$ is the solution to the equation $x^2-2=0$, so any method for numerically approximating the roots of an equation (such as the Newton method) will be able to approximate $sqrt2$.






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          5 Answers
          5






          active

          oldest

          votes








          5 Answers
          5






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes








          up vote
          5
          down vote













          Calculating the square root of a number is one of the first problems tackled with numerical methods, known I think to the ancient Babylonians. The observation is that if $x,,y>0$ and $ynesqrtx$ the $y,,x/y$ will be on opposite sides of $sqrtx$, and we could try averaging them. So try $y_0=1,,y_n+1=frac12(y_n+fracxy_n)$. This is actually the Newton-Raphson method 5xum mentioned. The number of correct decimal places approximately doubles at each stage, i.e. you probably only have to go as far as $y_5$ or so.






          share|cite|improve this answer




















          • Definitely one of the fastest methods: $$ y_0 = 1.colortan0;\ y_1 = 1.colortan5;\ y_2 = 1.41colortan666666666666666666666666666...;\ y_3 = 1.41421colortan568627450980392156862745...;\ y_4 = 1.41421356237colortan468991062629557889...;\ y_5 = 1.41421356237309504880168colortan962350...;\ cdots $$
            – Oleg567
            55 mins ago







          • 1




            @Oleg567 We could go even faster with post-Newton Householder methods, but the individual steps become more computationally complex. BTW the calculator you used to check that probably also used Newton-Raphson for the division.
            – J.G.
            52 mins ago










          • The beauty of this method is that the initial estimate can be way off and the method will converge quickly anyway. of course, making an educated guess to pick the initial estimate helps to reduce the number of iterations.
            – Vasya
            49 mins ago










          • Love the intuitive explanation for it!
            – dbx
            30 mins ago














          up vote
          5
          down vote













          Calculating the square root of a number is one of the first problems tackled with numerical methods, known I think to the ancient Babylonians. The observation is that if $x,,y>0$ and $ynesqrtx$ the $y,,x/y$ will be on opposite sides of $sqrtx$, and we could try averaging them. So try $y_0=1,,y_n+1=frac12(y_n+fracxy_n)$. This is actually the Newton-Raphson method 5xum mentioned. The number of correct decimal places approximately doubles at each stage, i.e. you probably only have to go as far as $y_5$ or so.






          share|cite|improve this answer




















          • Definitely one of the fastest methods: $$ y_0 = 1.colortan0;\ y_1 = 1.colortan5;\ y_2 = 1.41colortan666666666666666666666666666...;\ y_3 = 1.41421colortan568627450980392156862745...;\ y_4 = 1.41421356237colortan468991062629557889...;\ y_5 = 1.41421356237309504880168colortan962350...;\ cdots $$
            – Oleg567
            55 mins ago







          • 1




            @Oleg567 We could go even faster with post-Newton Householder methods, but the individual steps become more computationally complex. BTW the calculator you used to check that probably also used Newton-Raphson for the division.
            – J.G.
            52 mins ago










          • The beauty of this method is that the initial estimate can be way off and the method will converge quickly anyway. of course, making an educated guess to pick the initial estimate helps to reduce the number of iterations.
            – Vasya
            49 mins ago










          • Love the intuitive explanation for it!
            – dbx
            30 mins ago












          up vote
          5
          down vote










          up vote
          5
          down vote









          Calculating the square root of a number is one of the first problems tackled with numerical methods, known I think to the ancient Babylonians. The observation is that if $x,,y>0$ and $ynesqrtx$ the $y,,x/y$ will be on opposite sides of $sqrtx$, and we could try averaging them. So try $y_0=1,,y_n+1=frac12(y_n+fracxy_n)$. This is actually the Newton-Raphson method 5xum mentioned. The number of correct decimal places approximately doubles at each stage, i.e. you probably only have to go as far as $y_5$ or so.






          share|cite|improve this answer












          Calculating the square root of a number is one of the first problems tackled with numerical methods, known I think to the ancient Babylonians. The observation is that if $x,,y>0$ and $ynesqrtx$ the $y,,x/y$ will be on opposite sides of $sqrtx$, and we could try averaging them. So try $y_0=1,,y_n+1=frac12(y_n+fracxy_n)$. This is actually the Newton-Raphson method 5xum mentioned. The number of correct decimal places approximately doubles at each stage, i.e. you probably only have to go as far as $y_5$ or so.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered 1 hour ago









          J.G.

          14.2k11525




          14.2k11525











          • Definitely one of the fastest methods: $$ y_0 = 1.colortan0;\ y_1 = 1.colortan5;\ y_2 = 1.41colortan666666666666666666666666666...;\ y_3 = 1.41421colortan568627450980392156862745...;\ y_4 = 1.41421356237colortan468991062629557889...;\ y_5 = 1.41421356237309504880168colortan962350...;\ cdots $$
            – Oleg567
            55 mins ago







          • 1




            @Oleg567 We could go even faster with post-Newton Householder methods, but the individual steps become more computationally complex. BTW the calculator you used to check that probably also used Newton-Raphson for the division.
            – J.G.
            52 mins ago










          • The beauty of this method is that the initial estimate can be way off and the method will converge quickly anyway. of course, making an educated guess to pick the initial estimate helps to reduce the number of iterations.
            – Vasya
            49 mins ago










          • Love the intuitive explanation for it!
            – dbx
            30 mins ago
















          • Definitely one of the fastest methods: $$ y_0 = 1.colortan0;\ y_1 = 1.colortan5;\ y_2 = 1.41colortan666666666666666666666666666...;\ y_3 = 1.41421colortan568627450980392156862745...;\ y_4 = 1.41421356237colortan468991062629557889...;\ y_5 = 1.41421356237309504880168colortan962350...;\ cdots $$
            – Oleg567
            55 mins ago







          • 1




            @Oleg567 We could go even faster with post-Newton Householder methods, but the individual steps become more computationally complex. BTW the calculator you used to check that probably also used Newton-Raphson for the division.
            – J.G.
            52 mins ago










          • The beauty of this method is that the initial estimate can be way off and the method will converge quickly anyway. of course, making an educated guess to pick the initial estimate helps to reduce the number of iterations.
            – Vasya
            49 mins ago










          • Love the intuitive explanation for it!
            – dbx
            30 mins ago















          Definitely one of the fastest methods: $$ y_0 = 1.colortan0;\ y_1 = 1.colortan5;\ y_2 = 1.41colortan666666666666666666666666666...;\ y_3 = 1.41421colortan568627450980392156862745...;\ y_4 = 1.41421356237colortan468991062629557889...;\ y_5 = 1.41421356237309504880168colortan962350...;\ cdots $$
          – Oleg567
          55 mins ago





          Definitely one of the fastest methods: $$ y_0 = 1.colortan0;\ y_1 = 1.colortan5;\ y_2 = 1.41colortan666666666666666666666666666...;\ y_3 = 1.41421colortan568627450980392156862745...;\ y_4 = 1.41421356237colortan468991062629557889...;\ y_5 = 1.41421356237309504880168colortan962350...;\ cdots $$
          – Oleg567
          55 mins ago





          1




          1




          @Oleg567 We could go even faster with post-Newton Householder methods, but the individual steps become more computationally complex. BTW the calculator you used to check that probably also used Newton-Raphson for the division.
          – J.G.
          52 mins ago




          @Oleg567 We could go even faster with post-Newton Householder methods, but the individual steps become more computationally complex. BTW the calculator you used to check that probably also used Newton-Raphson for the division.
          – J.G.
          52 mins ago












          The beauty of this method is that the initial estimate can be way off and the method will converge quickly anyway. of course, making an educated guess to pick the initial estimate helps to reduce the number of iterations.
          – Vasya
          49 mins ago




          The beauty of this method is that the initial estimate can be way off and the method will converge quickly anyway. of course, making an educated guess to pick the initial estimate helps to reduce the number of iterations.
          – Vasya
          49 mins ago












          Love the intuitive explanation for it!
          – dbx
          30 mins ago




          Love the intuitive explanation for it!
          – dbx
          30 mins ago










          up vote
          1
          down vote













          Here the way I learnt to obtain decimal digit after decimal digit when I began middle school:



          beginarraylcl
          2&big( &1.414,21 \[1ex]
          1,00&& 24times colorred4=96<100\
          -96,&& 25times5=125>100\[1ex]
          phantom-04,00&&281timescolorred1<400\
          ;:-2,81&&282times2>400\[1ex]
          phantom-0119,00&&2824timescolorred4<11900\
          phantom0-112,96&&2825times5>11900 \[1ex]
          phantom00;604,00&&28282timescolorred2 < 60400 \
          &&28283times3> 60400
          endarray
          &c.






          share|cite|improve this answer
























            up vote
            1
            down vote













            Here the way I learnt to obtain decimal digit after decimal digit when I began middle school:



            beginarraylcl
            2&big( &1.414,21 \[1ex]
            1,00&& 24times colorred4=96<100\
            -96,&& 25times5=125>100\[1ex]
            phantom-04,00&&281timescolorred1<400\
            ;:-2,81&&282times2>400\[1ex]
            phantom-0119,00&&2824timescolorred4<11900\
            phantom0-112,96&&2825times5>11900 \[1ex]
            phantom00;604,00&&28282timescolorred2 < 60400 \
            &&28283times3> 60400
            endarray
            &c.






            share|cite|improve this answer






















              up vote
              1
              down vote










              up vote
              1
              down vote









              Here the way I learnt to obtain decimal digit after decimal digit when I began middle school:



              beginarraylcl
              2&big( &1.414,21 \[1ex]
              1,00&& 24times colorred4=96<100\
              -96,&& 25times5=125>100\[1ex]
              phantom-04,00&&281timescolorred1<400\
              ;:-2,81&&282times2>400\[1ex]
              phantom-0119,00&&2824timescolorred4<11900\
              phantom0-112,96&&2825times5>11900 \[1ex]
              phantom00;604,00&&28282timescolorred2 < 60400 \
              &&28283times3> 60400
              endarray
              &c.






              share|cite|improve this answer












              Here the way I learnt to obtain decimal digit after decimal digit when I began middle school:



              beginarraylcl
              2&big( &1.414,21 \[1ex]
              1,00&& 24times colorred4=96<100\
              -96,&& 25times5=125>100\[1ex]
              phantom-04,00&&281timescolorred1<400\
              ;:-2,81&&282times2>400\[1ex]
              phantom-0119,00&&2824timescolorred4<11900\
              phantom0-112,96&&2825times5>11900 \[1ex]
              phantom00;604,00&&28282timescolorred2 < 60400 \
              &&28283times3> 60400
              endarray
              &c.







              share|cite|improve this answer












              share|cite|improve this answer



              share|cite|improve this answer










              answered 27 mins ago









              Bernard

              112k635102




              112k635102




















                  up vote
                  0
                  down vote













                  Newton-Rhapson is a good idea because of the convergence rate. However, I am more of a fan of using Taylor's expansions here since it is super easy to derive on the go to give fairly ok estimates in quite a reasonable time. So, the way to go to find $sqrtx$ is to find first the closest integer which approximates $sqrtx$ and call this $a$, then apply Taylor to $a^2$. Then Taylor says
                  $$ sqrtx approx a + (x-a^2)cdot frac12 a - (x-a^2)^2/2 cdot frac14 a^3 + cdots. $$
                  The thing that is nice here is that you also get bounds on the error you make. So, denote $f(x) = sqrtx$, then the error of a $n$th order approximation (i.e., going as far as $(x-a^2)^n/n! cdot f^(n)(a^2)$ in the approximation above) is given by $$ (x-a)^n+1/(n+1)! cdot f^(n+1)(xi)$$ for a certain $xi$ between $a^2$ and $x$. This can be estimated quite easily since this $f^(n+1)$ is monotone around $x$. Thus look at the boundaries of the domain of $xi$ and find the 'best' maximal value which you can calculate without a calculator.



                  Example for $x=2$. Apparently $1$ is the closest integer to $sqrt2$ and thus we will take $a=1$. Then, let's take a second order approximation
                  $$sqrt2 approx 1 + (2-1)cdot frac12 - (2-1)^2/2cdot frac14 = 1 + 0.5 - 0.125 = 1.375 $$
                  and the absolute error is given by
                  $$ E=left|(2-1)^3/3!cdot frac38 cdot xi^2sqrtxiright| = frac116 cdot frac1xi^2sqrtxi$$
                  for a certain $xi$ between $1$ and $2$. Since this is a decreasing function on $(1,2)$. The maximum is attained at $1$ and hence the error is bounded by
                  $$ E leq frac116 $$
                  which seems to be a good estimate since $E = 0.039dots$ and $1/16 = 0.0625$.






                  share|cite|improve this answer


























                    up vote
                    0
                    down vote













                    Newton-Rhapson is a good idea because of the convergence rate. However, I am more of a fan of using Taylor's expansions here since it is super easy to derive on the go to give fairly ok estimates in quite a reasonable time. So, the way to go to find $sqrtx$ is to find first the closest integer which approximates $sqrtx$ and call this $a$, then apply Taylor to $a^2$. Then Taylor says
                    $$ sqrtx approx a + (x-a^2)cdot frac12 a - (x-a^2)^2/2 cdot frac14 a^3 + cdots. $$
                    The thing that is nice here is that you also get bounds on the error you make. So, denote $f(x) = sqrtx$, then the error of a $n$th order approximation (i.e., going as far as $(x-a^2)^n/n! cdot f^(n)(a^2)$ in the approximation above) is given by $$ (x-a)^n+1/(n+1)! cdot f^(n+1)(xi)$$ for a certain $xi$ between $a^2$ and $x$. This can be estimated quite easily since this $f^(n+1)$ is monotone around $x$. Thus look at the boundaries of the domain of $xi$ and find the 'best' maximal value which you can calculate without a calculator.



                    Example for $x=2$. Apparently $1$ is the closest integer to $sqrt2$ and thus we will take $a=1$. Then, let's take a second order approximation
                    $$sqrt2 approx 1 + (2-1)cdot frac12 - (2-1)^2/2cdot frac14 = 1 + 0.5 - 0.125 = 1.375 $$
                    and the absolute error is given by
                    $$ E=left|(2-1)^3/3!cdot frac38 cdot xi^2sqrtxiright| = frac116 cdot frac1xi^2sqrtxi$$
                    for a certain $xi$ between $1$ and $2$. Since this is a decreasing function on $(1,2)$. The maximum is attained at $1$ and hence the error is bounded by
                    $$ E leq frac116 $$
                    which seems to be a good estimate since $E = 0.039dots$ and $1/16 = 0.0625$.






                    share|cite|improve this answer
























                      up vote
                      0
                      down vote










                      up vote
                      0
                      down vote









                      Newton-Rhapson is a good idea because of the convergence rate. However, I am more of a fan of using Taylor's expansions here since it is super easy to derive on the go to give fairly ok estimates in quite a reasonable time. So, the way to go to find $sqrtx$ is to find first the closest integer which approximates $sqrtx$ and call this $a$, then apply Taylor to $a^2$. Then Taylor says
                      $$ sqrtx approx a + (x-a^2)cdot frac12 a - (x-a^2)^2/2 cdot frac14 a^3 + cdots. $$
                      The thing that is nice here is that you also get bounds on the error you make. So, denote $f(x) = sqrtx$, then the error of a $n$th order approximation (i.e., going as far as $(x-a^2)^n/n! cdot f^(n)(a^2)$ in the approximation above) is given by $$ (x-a)^n+1/(n+1)! cdot f^(n+1)(xi)$$ for a certain $xi$ between $a^2$ and $x$. This can be estimated quite easily since this $f^(n+1)$ is monotone around $x$. Thus look at the boundaries of the domain of $xi$ and find the 'best' maximal value which you can calculate without a calculator.



                      Example for $x=2$. Apparently $1$ is the closest integer to $sqrt2$ and thus we will take $a=1$. Then, let's take a second order approximation
                      $$sqrt2 approx 1 + (2-1)cdot frac12 - (2-1)^2/2cdot frac14 = 1 + 0.5 - 0.125 = 1.375 $$
                      and the absolute error is given by
                      $$ E=left|(2-1)^3/3!cdot frac38 cdot xi^2sqrtxiright| = frac116 cdot frac1xi^2sqrtxi$$
                      for a certain $xi$ between $1$ and $2$. Since this is a decreasing function on $(1,2)$. The maximum is attained at $1$ and hence the error is bounded by
                      $$ E leq frac116 $$
                      which seems to be a good estimate since $E = 0.039dots$ and $1/16 = 0.0625$.






                      share|cite|improve this answer














                      Newton-Rhapson is a good idea because of the convergence rate. However, I am more of a fan of using Taylor's expansions here since it is super easy to derive on the go to give fairly ok estimates in quite a reasonable time. So, the way to go to find $sqrtx$ is to find first the closest integer which approximates $sqrtx$ and call this $a$, then apply Taylor to $a^2$. Then Taylor says
                      $$ sqrtx approx a + (x-a^2)cdot frac12 a - (x-a^2)^2/2 cdot frac14 a^3 + cdots. $$
                      The thing that is nice here is that you also get bounds on the error you make. So, denote $f(x) = sqrtx$, then the error of a $n$th order approximation (i.e., going as far as $(x-a^2)^n/n! cdot f^(n)(a^2)$ in the approximation above) is given by $$ (x-a)^n+1/(n+1)! cdot f^(n+1)(xi)$$ for a certain $xi$ between $a^2$ and $x$. This can be estimated quite easily since this $f^(n+1)$ is monotone around $x$. Thus look at the boundaries of the domain of $xi$ and find the 'best' maximal value which you can calculate without a calculator.



                      Example for $x=2$. Apparently $1$ is the closest integer to $sqrt2$ and thus we will take $a=1$. Then, let's take a second order approximation
                      $$sqrt2 approx 1 + (2-1)cdot frac12 - (2-1)^2/2cdot frac14 = 1 + 0.5 - 0.125 = 1.375 $$
                      and the absolute error is given by
                      $$ E=left|(2-1)^3/3!cdot frac38 cdot xi^2sqrtxiright| = frac116 cdot frac1xi^2sqrtxi$$
                      for a certain $xi$ between $1$ and $2$. Since this is a decreasing function on $(1,2)$. The maximum is attained at $1$ and hence the error is bounded by
                      $$ E leq frac116 $$
                      which seems to be a good estimate since $E = 0.039dots$ and $1/16 = 0.0625$.







                      share|cite|improve this answer














                      share|cite|improve this answer



                      share|cite|improve this answer








                      edited 36 mins ago

























                      answered 43 mins ago









                      Stan Tendijck

                      1,301110




                      1,301110




















                          up vote
                          0
                          down vote













                          You can compute it manually using the algorithm:



                          1. $p=0$, $r=0$, $i=0$

                          2. Split the number into sections of two digits

                          3. Take i'th section $n_i$, let $k=100t+n_i$

                          4. Find the greatest number $x$, such that $$y=x(20p+x)leq k$$

                          5. Assign $p=10 p + x$, $i=i+1$, if the accyracy of the result is not satisfied, then return to 3.

                          Example:




                          02.00 00 00 00 00




                          • $n_0 = 2$, $k=2$, therefore for $x=1$: $y=1$ and $p=1$

                          • $n_1=0$, $k=100$, so for $x=4$: $y=24*4=96<100$ and $p=14$

                          • $n_2=0$, $k=400$, so for $x=1$, $y=281*1=281<400$ and $p=141$

                          • $n_3=0$, $k=11900$, so for $x=4$, $y=2824*4=11296<11900$ and $p=1414$

                          • $n_4=0$, $k=60400$, so for $x=2$, $y=28282*2=56564<60400$ and $p=14142$

                          • $n_5=0$, $k=383600$, so for $x=1$, $y=282841*1=282841<383600$ and $p=141421$

                          • ...

                          After all just remember to point the comma in place, where it should be, ie. after first number (it depends how many sections were there on the left side of our number), so you'll have:
                          $$sqrt2approx 1.41421$$



                          To obtain accuracy of 20 numbers after the comma, you should append 20 sections of 00 in the step 2. , ie.:




                          02.00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00







                          share|cite|improve this answer
























                            up vote
                            0
                            down vote













                            You can compute it manually using the algorithm:



                            1. $p=0$, $r=0$, $i=0$

                            2. Split the number into sections of two digits

                            3. Take i'th section $n_i$, let $k=100t+n_i$

                            4. Find the greatest number $x$, such that $$y=x(20p+x)leq k$$

                            5. Assign $p=10 p + x$, $i=i+1$, if the accyracy of the result is not satisfied, then return to 3.

                            Example:




                            02.00 00 00 00 00




                            • $n_0 = 2$, $k=2$, therefore for $x=1$: $y=1$ and $p=1$

                            • $n_1=0$, $k=100$, so for $x=4$: $y=24*4=96<100$ and $p=14$

                            • $n_2=0$, $k=400$, so for $x=1$, $y=281*1=281<400$ and $p=141$

                            • $n_3=0$, $k=11900$, so for $x=4$, $y=2824*4=11296<11900$ and $p=1414$

                            • $n_4=0$, $k=60400$, so for $x=2$, $y=28282*2=56564<60400$ and $p=14142$

                            • $n_5=0$, $k=383600$, so for $x=1$, $y=282841*1=282841<383600$ and $p=141421$

                            • ...

                            After all just remember to point the comma in place, where it should be, ie. after first number (it depends how many sections were there on the left side of our number), so you'll have:
                            $$sqrt2approx 1.41421$$



                            To obtain accuracy of 20 numbers after the comma, you should append 20 sections of 00 in the step 2. , ie.:




                            02.00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00







                            share|cite|improve this answer






















                              up vote
                              0
                              down vote










                              up vote
                              0
                              down vote









                              You can compute it manually using the algorithm:



                              1. $p=0$, $r=0$, $i=0$

                              2. Split the number into sections of two digits

                              3. Take i'th section $n_i$, let $k=100t+n_i$

                              4. Find the greatest number $x$, such that $$y=x(20p+x)leq k$$

                              5. Assign $p=10 p + x$, $i=i+1$, if the accyracy of the result is not satisfied, then return to 3.

                              Example:




                              02.00 00 00 00 00




                              • $n_0 = 2$, $k=2$, therefore for $x=1$: $y=1$ and $p=1$

                              • $n_1=0$, $k=100$, so for $x=4$: $y=24*4=96<100$ and $p=14$

                              • $n_2=0$, $k=400$, so for $x=1$, $y=281*1=281<400$ and $p=141$

                              • $n_3=0$, $k=11900$, so for $x=4$, $y=2824*4=11296<11900$ and $p=1414$

                              • $n_4=0$, $k=60400$, so for $x=2$, $y=28282*2=56564<60400$ and $p=14142$

                              • $n_5=0$, $k=383600$, so for $x=1$, $y=282841*1=282841<383600$ and $p=141421$

                              • ...

                              After all just remember to point the comma in place, where it should be, ie. after first number (it depends how many sections were there on the left side of our number), so you'll have:
                              $$sqrt2approx 1.41421$$



                              To obtain accuracy of 20 numbers after the comma, you should append 20 sections of 00 in the step 2. , ie.:




                              02.00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00







                              share|cite|improve this answer












                              You can compute it manually using the algorithm:



                              1. $p=0$, $r=0$, $i=0$

                              2. Split the number into sections of two digits

                              3. Take i'th section $n_i$, let $k=100t+n_i$

                              4. Find the greatest number $x$, such that $$y=x(20p+x)leq k$$

                              5. Assign $p=10 p + x$, $i=i+1$, if the accyracy of the result is not satisfied, then return to 3.

                              Example:




                              02.00 00 00 00 00




                              • $n_0 = 2$, $k=2$, therefore for $x=1$: $y=1$ and $p=1$

                              • $n_1=0$, $k=100$, so for $x=4$: $y=24*4=96<100$ and $p=14$

                              • $n_2=0$, $k=400$, so for $x=1$, $y=281*1=281<400$ and $p=141$

                              • $n_3=0$, $k=11900$, so for $x=4$, $y=2824*4=11296<11900$ and $p=1414$

                              • $n_4=0$, $k=60400$, so for $x=2$, $y=28282*2=56564<60400$ and $p=14142$

                              • $n_5=0$, $k=383600$, so for $x=1$, $y=282841*1=282841<383600$ and $p=141421$

                              • ...

                              After all just remember to point the comma in place, where it should be, ie. after first number (it depends how many sections were there on the left side of our number), so you'll have:
                              $$sqrt2approx 1.41421$$



                              To obtain accuracy of 20 numbers after the comma, you should append 20 sections of 00 in the step 2. , ie.:




                              02.00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00








                              share|cite|improve this answer












                              share|cite|improve this answer



                              share|cite|improve this answer










                              answered 16 mins ago









                              Jaroslaw Matlak

                              3,928830




                              3,928830




















                                  up vote
                                  -1
                                  down vote













                                  The number $sqrt2$ is the solution to the equation $x^2-2=0$, so any method for numerically approximating the roots of an equation (such as the Newton method) will be able to approximate $sqrt2$.






                                  share|cite|improve this answer
























                                    up vote
                                    -1
                                    down vote













                                    The number $sqrt2$ is the solution to the equation $x^2-2=0$, so any method for numerically approximating the roots of an equation (such as the Newton method) will be able to approximate $sqrt2$.






                                    share|cite|improve this answer






















                                      up vote
                                      -1
                                      down vote










                                      up vote
                                      -1
                                      down vote









                                      The number $sqrt2$ is the solution to the equation $x^2-2=0$, so any method for numerically approximating the roots of an equation (such as the Newton method) will be able to approximate $sqrt2$.






                                      share|cite|improve this answer












                                      The number $sqrt2$ is the solution to the equation $x^2-2=0$, so any method for numerically approximating the roots of an equation (such as the Newton method) will be able to approximate $sqrt2$.







                                      share|cite|improve this answer












                                      share|cite|improve this answer



                                      share|cite|improve this answer










                                      answered 1 hour ago









                                      5xum

                                      82.8k383147




                                      82.8k383147



























                                           

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