add demos to README.md
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@@ -273,7 +273,13 @@ Time is used as a noise argument to produce an animated effect.
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### DemoTriangleNoise01
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Demonstrate the generation of uniformly distributed points inside a list of triangles
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Demonstrate the generation of uniformly distributed points inside a list of triangles.
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For demonstration purposes there is only one triangle in the list, but could contain many.
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We can consider the `hash` function as giving us access to a slice in a pool of random Vector2 values.
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Since we increase the x argument in the call to `hash()` based on the current time in seconds,
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older random points get replaced by newer ones, then stay visible for a while.
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@@ -460,7 +466,6 @@ This demo renders a 3D visualization of points distributed using the R3 quasiran
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represented as a sphere and positioned in 3D space based on the quasirandom sequence values.
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The visualization setup includes:
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- Configuration of application window size to 720x720.
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- Usage of an orbital camera for interactive 3D navigation.
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- Creation of a reusable sphere mesh with a specified radius.
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- Generation of quasirandom points in 3D space using the `rSeq3D` function.
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@@ -473,10 +478,9 @@ The visualization setup includes:
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### rseq/DemoRseq4D01
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Demo that presents a 3D visualization of points distributed using a 4D quasirandom sequence (R4).
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Each point is represented as a sphere with it position and color derived from the sequence values.
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Each point is represented as a sphere with its position and color derived from the sequence values.
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This function performs the following tasks:
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- Configures the application window dimensions to 720x720 pixels.
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- Initializes a 3D camera for orbital navigation of the scene.
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- Generates 10,000 points in 4D space using the `rSeq4D` function. The points are scaled
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and transformed into 3D positions with an additional w-coordinate for color variation.
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