Talk:Plotting algorithms for the Mandelbrot set

Article needs "see also", "further reading" and "external links" sections

This article needs the above sections, but I'm not sure where to begin. Any help would be appreciated. Jdbtwo (talk) 18:00, 12 February 2020 (UTC)[reply]

Feedback from New Page Review process

I left the following feedback for the creator/future reviewers while reviewing this article: Most of the text is from the set]. In edit summary, I would add the attribution per policy..

scope_creep^Talk 10:47, 3 June 2020 (UTC)[reply]

Missing section: e^(-|z|)-smoothing

I stumbled upon the following Mandelbrot animation:

https://rtricks.blogspot.com/2007/04/mandelbrot-set-with-r-animation.html

By chance I found out that there is a name for this coloring. The addition of the individual images is called e^(-|z|)-smoothing.

You can find the description here (https://eudml.org/doc/257038):

http://www.mi.sanu.ac.rs/vismath/javier/b3.htm (year: 1999)

http://math.unipa.it/~grim/Jbarrallo.PDF (year: 2002)

If you know the Julia programming language, you can try this out right away:

https://www.rosettacode.org/wiki/Mandelbrot_set#Mandelbrot_Set_with_Julia_Animation

https://www.rosettacode.org/wiki/Mandelbrot_set#Normalized_Iteration_Count.2C_Distance_Estimation_and_Mercator_Maps

Since I am not a native speaker, I cannot create this section myself.

Greetings --Majow (talk) 10:42, 7 July 2021 (UTC)[reply]

Primary Source for Mariani/Silver

I have written the following article: https://ricomariani.medium.com/the-mariani-silver-algorithm-for-drawing-the-mandelbrot-set-a71e31bc20b6

You may or may not want to use some of that information as a primary source in any future edits. It helps to support [13] if nothing else.

Mariani-Silver isn't really characterized very well in the main text. All versions of it used recursion to look for bigger regions and then divide as necessary even the very first one I wrote.

50.35.68.222 (talk) 05:37, 29 August 2021 (UTC)[reply]

Thank you for pointing this out. A Java-based implementation of the Mariani-Silver algorithm (Divide and Conquer) can be found here: https://en.wikibooks.org/wiki/Fractals/fractalzoomer#Greedy_Drawing_Algorithms and https://github.com/hrkalona/Fractal-Zoomer/tree/master/src/fractalzoomer/core/drawing_algorithms Majow (talk) 09:25, 25 September 2022 (UTC)[reply]

complex numbers

Hi. Pseudocode/code can use complex mumbers, not 2 double numbers. This makes code easier to read. --Adam majewski (talk) 08:47, 24 December 2021 (UTC)[reply]

Derivative Bailout or "derbail"

I'm not a specialist, but doesn't the derbail code always return 1024? And I also think the while loop never starts because: magn(x,y) > 4 is not true. — Preceding unsigned comment added by Philipsjps (talk • contribs) 16:23, 19 May 2022 (UTC)[reply]

A useful special case of the distance estimation formula

To understand the distance estimation formula more easily, one can consider the Julia set with $c=0$ as a special case: This set is simply the unit circle around the origin. The first polynomials are $z_{0}=c$ , $z_{1}=z_{0}^{2}+0=c^{2}$ , $z_{2}=z_{1}^{2}+0=c^{4}$ and $z_{3}=z_{2}^{2}+0=c^{8}$ . The first derivatives are $dz_{0}=1$ , $dz_{1}=2\cdot c\cdot 1=2c$ , $dz_{2}=2\cdot c^{2}\cdot 2c=4c^{3}$ und $dz_{3}=2\cdot c^{4}\cdot 4c^{3}=8c^{7}$ . In general, the polynomial $z_{n}$ results from the iteration rule $z_{k+1}=z_{k}^{2}+0$ to $z_{n}=c^{2^{n}}$ . The derivation $dz_{n}$ results from the derivation rule $dz_{k+1}=2z_{k}dz_{k}$ to $dz_{n}=2^{n}c^{2^{n}-1}$ .

If you now apply the distance formula without the factor 2, you get $d=\ln(|z_{n}|)\cdot |z_{n}|/|dz_{n}|=2^{n}\ln(|c|)\cdot |c|^{2^{n}}/(2^{n}|c|^{2^{n}-1})$ , and thus $d=\ln(|c|)\cdot |c|$ . This formula approximates the distance to the unit circle very well near the circle of radius 1: $\ln(1,1)\cdot 1.1=0.105\approx 0.1$ , $\ln(1,01)\cdot 1.01=0.01005\approx 0.01$ and $\ln(1,001)\cdot 1.001=0.0010005\approx 0.001$ . Only with larger deviations from the number 1 does the error become large, e.g. $\ln(1+5)\cdot (1+5)=10.75\approx 2\cdot 5$ , so here the real distance 5 is overestimated by a factor of 2. Majow (talk) 16:51, 2 January 2023 (UTC)[reply]