When creating this series of images, I was trying to explore the effects that mathematical functions can have on colors and shapes in a simple image.  When selecting the actual functions themselves, it was important that I chose something with a wide range of values throughout the image, in order to get the greatest shifts in color.  It’s interesting to me that something so perfectly defined as a math function can produce an image with so much randomness.

I didn’t want to make the code for this technical and difficult.  I figured that if I used simple algorithms, I could get a more drastic change of colors and shapes for a smaller change in the value of n.  The functions I chose all range between about 0 and 255, and are not always increasing or always decreasing over the width and height of most sizes of images.  The shapes on the images are caused by drastic changes in the rgb component values which are most likely zeroes, maximums, minimums or inflection points of the functions used to calculate the rgb component for each pixel.