What Are the Best Algebraic Methods for Approximating Non-Linear ODE Solutions?

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Discussion Overview

The discussion focuses on various algebraic methods for approximating solutions to non-linear ordinary differential equations (ODEs). Participants explore techniques beyond traditional Taylor series and Picard's method, emphasizing algebraic approaches rather than numerical methods.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant expresses interest in techniques other than Taylor series and Picard's method for approximating general solutions to non-linear ODEs.
  • Another participant mentions the Adomian Decomposition Method as a potentially effective technique, noting its perceived faster convergence compared to Taylor series, although they have not tried it yet.
  • A participant inquires about the existence of a Mathematica function for generating series solutions.
  • There is a discussion about the definition of "algebraics," with one participant suggesting that standard numerical methods like Runge-Kutta can yield polynomial functions, while another clarifies that they are looking for analytical solutions.
  • One participant introduces the operator method as a systematic approach for obtaining approximate analytical solutions, providing links to relevant resources.
  • A participant shares their experience with Maple's dsolve command, expressing dissatisfaction with the quality of solutions for second-order non-linear ODEs and seeking recommendations for better methods.
  • Another participant reports implementing the Adomian Decomposition method in Mathematica but finds the results comparable to those from Taylor series, indicating that modifications to the method may be necessary for improved outcomes.
  • There is a sentiment of disappointment regarding the effectiveness of the Adomian Decomposition method, with one participant suggesting they would not recommend it in the future.

Areas of Agreement / Disagreement

Participants express a variety of opinions on the effectiveness of different methods, with no consensus on the best approach for approximating solutions to non-linear ODEs. Some participants advocate for the Adomian Decomposition Method, while others express skepticism based on their experiences.

Contextual Notes

Participants note limitations in the methods discussed, such as the quality of solutions provided by Maple and the need for modifications to existing methods to achieve better results. There is also ambiguity regarding the definition of algebraic methods versus numerical methods.

nassboy
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I'm interested in knowing if there are any techniques besides taylor series and picards method to find approximate general solutions to non-linear ordinary differential equations.

I'm not interested in numerical techniques only algebraic approximations.
 
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I saw at seminar people use Adomian Decomposition Method to solve nonlinear DE or pde. The method doesn't look that difficult to understand. It seem that convergence is faster than the Taylor series method. But I haven't try it yet. May be in the future when need arises.
 
This looks really cool. Do you know if anybody has developed a mathematica function to produce the series?
 
What do you consider algebraics? All the standard numerical methods like Runge-Kutta have variants that return functions such as polynomials. There are perturbation methods including the Lanczos tau method. There are other series methods like Fourier series.
 
lurflurf said:
What do you consider algebraics? All the standard numerical methods like Runge-Kutta have variants that return functions such as polynomials.


I think what nassboy meant is analytical solution. You know something like series solution where we can integrate or differentiate.

I never know that Runge-Kutta method can return polynomial as solution. This will be great because I always though that the method only give us points which we can display graphically. Not equation.
 
i too will to solve non-linear ordinary differential equations of second order. Using dsolve comand on Maple, the solutions delivered by maple are very poor and extensive.
someone recommend me some method by using maple?
my level of awareness is low
there is a some package for to solve diferential equations non lineal second order?
 
Last edited:
I just implemented the Adomian Decomposition method for my problem in mathematica. It didn't produce answers too much better than the regular old taylor series.

Lots of people have modified the adomian decomposition method to get better results for their specific problem, but being an engineer I don't really have time for that stuff.
 
I won't recommend the method next time. Sorry that you had taken all the trouble coding the method but didn't see much improvement in the result.
 
  • #10
Don't be sorry...it is cool. It might work better for some differential equations than others.
 

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