Newton Raphson Method: Derivation

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  • Опубліковано 9 січ 2025

КОМЕНТАРІ • 88

  • @appeleper4436
    @appeleper4436 2 роки тому +3

    welcome to 13 years from when this method was posted... this video helped me ace my presentation on newton's raphson method

  • @marcosmartinez4037
    @marcosmartinez4037 8 років тому +21

    All professors should aspire to be just like you. Thank you so much! you are a titan!

  • @hellostranger2709
    @hellostranger2709 3 роки тому +1

    This video was published 12 years ago but still very helpful! Thank you!

  • @Tigeress8482
    @Tigeress8482 14 років тому +5

    You're the best. Seriously, thank you for sharing your gift of teaching with those who are not able to have a professor like you. :) Your videos have helped me a lot, and I know I'm not alone! Way to help build the future!

  • @dmitriypetrovykh8763
    @dmitriypetrovykh8763 4 роки тому

    80 seconds in, and I already got what I needed. Excellent explanation

  • @numericalmethodsguy
    @numericalmethodsguy  16 років тому +11

    Thanks for your comments. We will have about 200 videos by end of June 2009.

    • @randyrockranaq
      @randyrockranaq 5 років тому +1

      Bro you gawd

    • @بشمهندسمان
      @بشمهندسمان 3 роки тому +1

      look to you bro and you are one of the most popular person who teach the numerical method in the world and you are the reference for all engineering student
      respect bro respect

    • @numericalmethodsguy
      @numericalmethodsguy  3 роки тому

      @@randyrockranaq Thank you. Please subscribe and ask your friends to subscribe - our goal is to get to 100,000 subscribers by the end of 2021.
      To get even more help, subscribe to the numericalmethodsguy channel ua-cam.com/users/numericalmethodsguy, and go to MathForCollege.com/nm and MathForCollege.com/ma for more resources.
      Follow the numerical methods blog at AutarKaw.org. You can also take a free massive open online course (MOOC) at canvas.instructure.com/enroll/KYGTJR
      Please share these links with your friends and fellow students through social media and email.

    • @numericalmethodsguy
      @numericalmethodsguy  3 роки тому

      @@بشمهندسمان Thank you. Please subscribe and ask your friends to subscribe - our goal is to get to 100,000 subscribers by the end of 2021.
      To get even more help, subscribe to the numericalmethodsguy channel ua-cam.com/users/numericalmethodsguy, and go to MathForCollege.com/nm and MathForCollege.com/ma for more resources.
      Follow the numerical methods blog at AutarKaw.org. You can also take a free massive open online course (MOOC) at canvas.instructure.com/enroll/KYGTJR
      Please share these links with your friends and fellow students through social media and email.
      Support the channel if you able to do so at ua-cam.com/users/numericalmethodsguy/store

    • @numericalmethodsguy
      @numericalmethodsguy  3 роки тому

      @@بشمهندسمان Thank you. Please subscribe and ask your friends to subscribe - our goal is to get to 100,000 subscribers by the end of 2021.
      To get even more help, subscribe to the numericalmethodsguy channel ua-cam.com/users/numericalmethodsguy, and go to MathForCollege.com/nm and MathForCollege.com/ma for more resources.
      Follow the numerical methods blog at AutarKaw.org. You can also take a free massive open online course (MOOC) at canvas.instructure.com/enroll/KYGTJR
      Please share these links with your friends and fellow students through social media and email.
      Support the channel if you able to do so at ua-cam.com/users/numericalmethodsguy/store

  • @punkfluff64
    @punkfluff64 8 років тому +2

    Thanks so much for this. This derivation has been bothering me for ages as it hadn't been explained to me in the context of tan. Really clear.

    • @numericalmethodsguy
      @numericalmethodsguy  8 років тому +1

      Thank you. To get even more help, go to MathForCollege.com/nm for more resources. Follow my numerical methods blog at AutarKaw.org. You can also take a free online course at www.canvas.net/?query=numerical%20methods

  • @amdperacha
    @amdperacha 11 років тому +1

    Wow! Thank you very much for this! Your explanation is clear and concise. Very easy to understand. Thank you very much, indeed. From Pakistan

  • @29jimmy980
    @29jimmy980 11 років тому +1

    Sir, you are a legend. Many thanks to you for making life a lot easier.

  • @MrNuigit
    @MrNuigit 10 років тому +5

    Surprisingly clear and thorough :)

  • @IfeanyiEKalu
    @IfeanyiEKalu 7 років тому +1

    Really enjoyed your teaching...one of my most favorites youtube teacher. Thanks Prof!

    • @numericalmethodsguy
      @numericalmethodsguy  7 років тому

      Thank you.
      To get even more help, subscribe to the numericalmethodsguy channel, and go to MathForCollege.com/nm and MathForCollege.com/ma for more resources and share the link with your friends through social media and email.
      Support the site by buying the textbooks at www.lulu.com/shop/search.ep?keyWords=autar+kaw&type=
      Follow my numerical methods blog at AutarKaw.org. You can also take a free online course at www.canvas.net/?query=numerical%20methods
      Best of Learning
      Autar Kaw
      AutarKaw.com

  • @chad8707
    @chad8707 8 років тому +6

    best video for numerical analysis..

  • @eleeson4169
    @eleeson4169 8 років тому +5

    You have very neat board writing. Thanks for the video.

  • @johnk1973
    @johnk1973 8 років тому +1

    Thank You for your explanations! Great job! I needed to refresh quickly numerical methods. With your videos I did it in couple of evenings! Thank You very much

  • @9dubb9
    @9dubb9 14 років тому

    Thanks agian....another ace on exam in a few hours...u are a great teacher

  • @marcusrosales3344
    @marcusrosales3344 5 років тому +3

    My computational physics teacher told me the Newton-Raphson method is this formula... That was my lesson.

    • @numericalmethodsguy
      @numericalmethodsguy  5 років тому +2

      Sorry to hear that. Go here for all resources. nm.mathforcollege.com/ Tell your classmates.

  • @kyeongs_c
    @kyeongs_c 4 роки тому +1

    Thanks for the clear and wonderful explanation!

  • @maxguichard4337
    @maxguichard4337 5 років тому +3

    That's a very neat and intuitive explanation, thank you for sharing :)

    • @numericalmethodsguy
      @numericalmethodsguy  5 років тому

      To get even more help, subscribe to the numericalmethodsguy channel, and go to MathForCollege.com/nm and MathForCollege.com/ma for more resources and share the link with your friends through social media and email.
      Support the site by buying the textbooks at www.lulu.com/shop/search.ep?keyWords=autar+kaw&type=
      Follow my numerical methods blog at AutarKaw.org.

  • @ingloeski
    @ingloeski 9 років тому +5

    ty, great teacher and simple explanation

  • @numericalmethodsguy
    @numericalmethodsguy  14 років тому

    @MachiP0p0 Es means pre-specified tolerance. It is a stopping criteria to stop iterations. When the absolute relative approximate error is less than pre-specified tolerance, then we can stop the iterations. How do we choose Es? Go to numericalmethods(.)eng(.)usf(.)edu and click on Measuring Errors under Introduction. See pages 5-7 of the pdf file of the texbook chapter.

  • @sandeepgabhale
    @sandeepgabhale 9 років тому +5

    simple and nice explanation

  • @basimkhajwal2896
    @basimkhajwal2896 9 років тому +2

    Great, really helped me to understand why it works

  • @numericalmethodsguy
    @numericalmethodsguy  14 років тому

    @fullheavy Just follow the example given in the Newton-Raphson playlist. It is not a difficult problem to do. Be sure that your calculator is set to the radians mode. Once the 5 decimal places do not change in the answer, you have your answer.

  • @romance177
    @romance177 11 років тому +1

    thank you for this nice explanation :) actually I'm doing my master thesis and I'm taking computational methods course so you just helped me a lot>>> BY THE WAY, i just subscribed! :)

  • @rahulsharma-cb7kk
    @rahulsharma-cb7kk 7 років тому +2

    GREAT VIDEO,VERY HELPFUL

  • @phobia6661
    @phobia6661 11 років тому +1

    Brilliant sir, thanks to you I'll pass.!

  • @eden9808
    @eden9808 4 роки тому +1

    Really helpful. Thanks sir 👍

  • @esakkithirugnanam6626
    @esakkithirugnanam6626 9 років тому +3

    Nice explanation...

  • @trantamphuong
    @trantamphuong 16 років тому +1

    Hi there, I love your videos, every single one. Your explainations are really clear, your lecture ignites my passion in numerical method. Hope that you could construct a youtube curricular for the course

  • @nsartigo
    @nsartigo 10 років тому +1

    @NancyEng It is the second guess or a better guess than xi . It is closer to the root. Hence it is called xi+1.

  • @numericalmethodsguy
    @numericalmethodsguy  15 років тому

    I do not know of a general technique to do so. If the problem is connected to a physical phenomenon, you can use the knowledge of the physical problem to choose a good initial guess.

  • @numericalmethodsguy
    @numericalmethodsguy  13 років тому

    @xTabbyCat I do not know of a general technique to do so. If the problem is connected to a physical phenomenon, you can use the knowledge of the physical problem to choose a good initial guess. Go to numericalmethods(.)eng(.)usf(.­)edu and click on Newton Raphson Method. Click on the textbook chapter to see a physical problem.

    • @johnroberts7529
      @johnroberts7529 6 років тому

      In my humble opinion you are an excellent teacher. Many thanks.
      Regards, John Roberts.

  • @numericalmethodsguy
    @numericalmethodsguy  11 років тому +1

    x(i+1) is the next iterative value of the root after x(i). There is no restriction that x(i+1) has to be greater than x(i).

    • @numericalmethodsguy
      @numericalmethodsguy  3 роки тому

      Thank you. Please subscribe and ask your friends to subscribe - our goal is to get to 100,000 subscribers by the end of 2021.
      To get even more help, subscribe to the numericalmethodsguy channel ua-cam.com/users/numericalmethodsguy, and go to MathForCollege.com/nm and MathForCollege.com/ma for more resources.
      Follow the numerical methods blog at AutarKaw.org. You can also take a free massive open online course (MOOC) at canvas.instructure.com/enroll/KYGTJR
      Please share these links with your friends and fellow students through social media and email.
      Support the channel if you able to do so at ua-cam.com/users/numericalmethodsguy/store

  • @karanbhatia6712
    @karanbhatia6712 4 роки тому

    Great explanation. Thank you very much!

  • @yassiraladdin5886
    @yassiraladdin5886 5 років тому +1

    Thank you so much!!
    YOU ARE THE BEST

  • @johnjv24
    @johnjv24 9 років тому +2

    Awesome video!!!!

  • @fullheavy
    @fullheavy 14 років тому

    Sir, could you help me with this question?
    Use the Newton-Raphson process to determine a value of x near x1 = 0 for which f(x) = 0, where
    f(x) = 9 x+0.4−8 sin( x )
    giving your answer (and the interim results we ask for) correct to 5 decimal places. What are the values of x and f(x) at the second iteration?
    What are the values of x and f(x) at the third iteration?
    The value of x (correct to 5 decimal places) such that f(x) = 0.

  • @jdlopez131
    @jdlopez131 5 років тому +1

    why is the tangent of theta the same as the derivative of the function at x sub i? I mean, shouldn't it be that the theta is the slope of the line in any case? But he is talking about tangent of theta, and that's where it doesn't make sense

    • @numericalmethodsguy
      @numericalmethodsguy  5 років тому +1

      If you remember the slope of the tangent line is given by tan(theta)=rise/run. Now think about derivative is (f(x+dx)-f(x))/dx as dx ->0. What is the numerator dy (difference between y values at x+dx and x).

    • @jdlopez131
      @jdlopez131 5 років тому

      @@numericalmethodsguy yes, it suddenly dawned on me what you were saying. Thank you

  • @davisbrown3342
    @davisbrown3342 4 роки тому

    who is this legend

  • @xTabbyCat
    @xTabbyCat 13 років тому

    How do I find use the tangent to find the initial estimate?
    I have a graph of two curves; (y=e^x) and (y=4/x)
    And it says I have to find the initial estimate for the root of the equation: x e^x - 4 = 0
    The answer is that the solution is the intersection of f(x) - e^x and f(x) = 4/x but that doesn't help me find the actual NUMBER for the initial estimate.
    How would I go about finding the initial estimate NUMBER?

  • @07dalle
    @07dalle 7 років тому +1

    great videos

  • @johnydesuza8644
    @johnydesuza8644 8 років тому +1

    thank you very much sir

  • @nancyeng6250
    @nancyeng6250 11 років тому +1

    Can i just ask why Xi+1 is behind the point Xi ? in the graph ?

  • @Arvindchoudhary_
    @Arvindchoudhary_ 2 роки тому +1

    Legends who watching 2022. Like it

  • @fikret8422
    @fikret8422 7 років тому +1

    that was amazing thank you

  • @sarahhope8516
    @sarahhope8516 8 років тому +1

    Thank you so so so much!!!

  • @hedgehog1962
    @hedgehog1962 3 роки тому

    Thank you very helpful

  • @gustavomarcelo7250
    @gustavomarcelo7250 5 років тому +1

    Why does the error = ( xi-x0)/xi and not (xi-x0)/x0?
    Why does roots are define at f(x) = 0?

    • @numericalmethodsguy
      @numericalmethodsguy  5 років тому +1

      You always compare with current approximation. Second question needs more clarification.

  • @viratpavan1336
    @viratpavan1336 3 роки тому +1

    Amazing

  • @PavanKumar-yx8ss
    @PavanKumar-yx8ss 7 років тому +2

    thank you sir

    • @numericalmethodsguy
      @numericalmethodsguy  7 років тому

      Thank you. To get even more help, go to MathForCollege.com/nm and MathForCollege.com/ma for more resources and share the link with your friends. Follow my numerical methods blog at AutarKaw.org. You can also take a free online course at www.canvas.net/?query=numerical%20methods

  • @numericalmethodsguy
    @numericalmethodsguy  16 років тому

    The whole curriculum with videos will be done by June 2009. Just visit numericalmethods(dot)eng(dot)usf(dot)edu

  • @dhananjoypal1949
    @dhananjoypal1949 5 років тому

    thank you sir..

  • @MachiP0p0
    @MachiP0p0 14 років тому

    What mean by Es?

  • @nutankumari5548
    @nutankumari5548 9 років тому +1

    Could anybody please clarify how to calculate (E)s that is ebslons s?

    • @numericalmethodsguy
      @numericalmethodsguy  9 років тому

      +Nutan Kumari Epsilon-s is prespecified tolerance. That is an input. You can however relate epsilon-s to how many significant digits do you want at least correct in your answer. If you want m significant digits to be correct,then epsilon-s is 0.5*10^(2-m) percent. Check nm.mathforcollege.com/topics/measuring_errors.html for more info.

    • @nutankumari5548
      @nutankumari5548 9 років тому +1

      Thanks for the answer.could you please explain how to guess the value initially in this method.?

    • @numericalmethodsguy
      @numericalmethodsguy  9 років тому +1

      +Nutan Kumari I do not know of a general technique to do so. If the problem is connected to a physical phenomenon, you can use the knowledge of the physical problem to choose a good initial guess. Go to nm.mathforcollege.com/topics/newton_raphson.html and look at the examples from other majors.

    • @akarsh.saxena
      @akarsh.saxena 8 років тому +1

      +Nutan Kumari Just put x=0,1,2... in f(x). The two consecutive values for which the f(x) changes its sign (-ve to +ve or vica-versa) (say 2 and 3), then you can take initial approximation between those two points (between 2 and 3 i.e. 2.5). For trigonometric functions, just put the values (0,pi/4,pi/2....) and for the values say pi/4 and pi/2, the f(x) changes its sign, then the initial approximation can be taken as (3*pi/4). This works in all the questions I've done.

  • @MexterO123
    @MexterO123 10 років тому +1

    Why is this called an open method?

    • @autarkaw1826
      @autarkaw1826 10 років тому +4

      Because it is not bracketed. We have only one initial guess. Two initial guesses do not make a method bracketed as is the case in secant method. Why? Because the two initial guesses do not have to bracket a root. Bisection method is a bracketing method.

  • @yourdeadmother
    @yourdeadmother 11 років тому +2

    dat derivation doe

  • @muhammadroshan7315
    @muhammadroshan7315 5 років тому

    Nicely done but a little too slow

  • @tessemagetebo8655
    @tessemagetebo8655 8 років тому +1

    O! NICE

  • @arassen19
    @arassen19 10 років тому +4

    boy, indians are excellent at math for some reason XD..

    • @muhammadroshan7315
      @muhammadroshan7315 5 років тому

      You mean in cramming math. Yeah I can agree on that. But definitely not on creativity

    • @numericalmethodsguy
      @numericalmethodsguy  5 років тому +2

      @@muhammadroshan7315 Indians are not generally excellent in math. We got 1.3 billion people and we better have many people who are excellent in math. The cramming you talk about is a good start in being creative. How would one get a creative thought without having a base knowledge?

  • @wangb13
    @wangb13 13 років тому

    hi.

  • @sohaginfinity
    @sohaginfinity 5 років тому

    dhon bujlam na kisu

  • @ahmedmohamed-yx1ln
    @ahmedmohamed-yx1ln 5 років тому

    great video