Implicit functions
Implicit function visualizations using 2D grid systems are a powerful technique for representing and exploring complex mathematical relationships in two-dimensional space. These visualizations are particularly useful for understanding implicit functions, which are equations in which the dependent variable (usually denoted as "y") cannot be explicitly solved for as a function of the independent variable ("x"). Instead, implicit functions are defined by an equation that relates both or more variables.
In 2D grid systems, implicit function visualizations involve plotting points on a grid where
each point represents a pair of x and y coordinates. The key idea is to evaluate the implicit function's
equation at each point in the grid to determine whether the equation holds true (i.e., whether the
function equals a constant C) at that location. The result is a visual representation of the implicit
function's
behavior over a specified region of the x-y plane.
In this tutorial we'll explore different implicit functions and see how we can incorporate them using
our 2D grid system.
The parameters of the Algorithm
- SCREEN: (int,int) - Dimensions of the screen given as a width and height in pixels
# MODULES import pygame # DD SCREEN = (400,400) display
The Algorithm
- For each pixel
- Is the result of a function that receives the pixel's x and y, close to a constant value C?
- T: give pixel the color red