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Processing program代写 Homework代写 Julia Set代写 assignment代写

2021-01-25 17:33 星期一 所属: Julia代写 浏览:1859

Processing program代写

Julia Set Homework – Due Sunday, November 17, 2019, by 11:59pm

 Processing program代写 n this assignment, you will be implementing a Processing program that generates Julia sets. As part of this, you will also implement

In this assignment, you will be implementing a Processing program that generates Julia sets.  As part of this, you will also implement a ComplexNumber class.  The image below shows one such Julia set.  It also has a lot of extra text (some of which is not required by the assignment) to help me explain the assignment to you.

Processing program代写
Processing program代写

ComplexNumber Processing program代写

  • Create a new Processing sketch named Julia.  Your sketch should have just one file in it, Julia.pde.  Processing allows you to create multiple classes in the same file.  You should create a ComplexNumber class that will be at the bottomof your source code, below your Julia code.  Simply type class ComplexNumber {  at the bottom of your code, and define your class below it.
  • At a minimum, your ComplexNumber class will need:
    • a constructor where the real and imaginary parts are specified as floats or doubles
    • add(), subtract(), multiply(), and divide().  Each of these should take oneComplexNumber parameter and return a new ComplexNumber object without changing the original ComplexNumber objects.  For example:

ComplexNumber c1 = new ComplexNumber(3.1, 5.0);

ComplexNumber c2 = new ComplexNumber(-1.0, 2.8);

ComplexNumber c3 = c1.add(c2);Processing program代写

// c1 is still (3.1, 5.0) because it hasn’t changed

// c2 is still (-1.0, 2.8) because it hasn’t changed

// c3 is (-2.1, 7.8)

  • an abs() method which returns the absolute value of the complex number as a float or a double
  • a toString method that returns complex numbers such as (.7, 1.3) in the form “.7 + 1.3i” 
Processing program代写
Processing program代写

Julia sets – Julia.pde Processing program代写

  • Write code that displays the Julia set for the function f(x) = x2+ C for a given C (make C a variable that changes when the mouse is clicked, so that it is easy to produce any Julia set).
  • Set the escape radius to 2, but make it a constant in your code that is easy to change.
  • Set the bailout to 10 initially, and add code so that the up and down arrows increase and decrease the bailout value.
  • Color code each complex number based on its escaping or not escaping:
    • Points that don’t escape should all be the same color
    • Points that escape should be based on the number of iterations required for it to escape, somehow scaling the color (see lerpColor() as one way to scale colors)
  • Use the ComplexNumber class to support your code.  See earlier in this document for details on the ComplexNumber class.Processing program代写
  • In many ways, this code will be identical to the 1D Julia Sets we made in the lab, but instead of floats, you are using ComplexNumbers.
  • Display the C value in the sketch itself using the text() method.
  • Add some additional visual features to your sketch.  For example:
    • You could show the orbit of a seed (my code showed a hollow circle for each number in the orbit, with the circles getting smaller with each iteration)
    • You could allow zooming (if you do, it would be useful to be able to reset the zoom)
    • You could think of something else.

Zip everything together and submit it to Canvas.  See next page for some advice…

Advice: Processing program代写

  • Use Processing’s map() function to help you easily convert the values in one range to the values in another range.  Specifically, we are trying to map the interval of numbers [-2, 2] to the interval of numbers [0, width].
  • Your sketch will work much better if you write your data to the pixels[] array rather than using Processing’s point() command (this is similar to what you did with your image processing filters).
  • Recall that my Julia Set sketch allowed zooming in.In case you are interested…one of the challenges in doing all of the computations is that it can take a while.  So, I actually don’t plot my fractals pixel by pixel directly on the screen.  Rather, I create a PImage object in Processing (see http://processing.org/reference), and compute all the pixels “behind the scenes”.  Then, once I have made that image, I display it in the Processing window.  Processing program代写
  • It’s expensive to recalculate your Julia set 60 times per second.  This approach also made it much easier for me to implement the zooming effect…without this approach, I would need to repeatedly calculate the entire fractal, 60-ish times per second.  But by storing the fractal as a pre-calculated image, I could re-display it 60-ish times per second without needing to recalculate it.  The only time I recalculated it was when it was time to zoom in or out.
Processing program代写
Processing program代写

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