1 / 32

Fractals from Root-Solving Methods

Fractals from Root-Solving Methods. Daniel Dreibelbis University of North Florida. Outline. Define the problem Explore Newton’s Method, leading up to Newton’s Fractals Mess with Newton’s Method Try this with other root-solving methods. Root Solving. Newton’s Method. Newton’s Method.

dyanne
Télécharger la présentation

Fractals from Root-Solving Methods

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Fractals from Root-Solving Methods Daniel Dreibelbis University of North Florida

  2. Outline • Define the problem • Explore Newton’s Method, leading up to Newton’s Fractals • Mess with Newton’s Method • Try this with other root-solving methods

  3. Root Solving

  4. Newton’s Method

  5. Newton’s Method

  6. Visualizing Newton’s Method

  7. Quadratic: Lame z2 – 1 = 0

  8. Quadratic – Less Lame z2 – 1 = 0

  9. Cubic – Not Lame z3– 1 = 0

  10. Cubic – Still not Lame

  11. Pretty Examples

  12. Pretty Examples

  13. Pretty Examples

  14. Pretty Examples

  15. Pretty Examples

  16. Why the fractal? • Near a critical point, the tangent lines hit most of the x-axis. Thus most of the domain is mirrored near the critical point. • With two or more critical points, each critical point mirrors all of the other critical points.

  17. Why the fractal?

  18. Why Newton’s Method?

  19. Changing Newton’s Method

  20. Changing Newton’s Method

  21. Other Methods - Bisection

  22. Bisection on x3 – x = 0

  23. Other Methods - Secant

  24. Secant – Real Case

  25. Secant – Complex Case

  26. Other Methods – Steepest Descent f(x, y)=0 and g(x, y)=0 f(x, y)2 + g(x, y)2

  27. Other Methods – Steepest Descent Re(z)=0 and Im(z)=0 Re(z)2 + Im(z)2

  28. Steepest Descent

  29. Steepest Descent

  30. Steepest Descent

  31. Steepest Descent

  32. The End! • Thanks! • www.unf.edu/~ddreibel

More Related