This tool calculates the binary sequence behind the dragon curve, a classic fractal pattern. Each term is built by flipping and appending the previous string in a recursive way. You start with “1”, then each step adds a 1 and a flipped (bit-inverted + reversed) version of the current sequence. It’s a fascinating structure that grows fast and reveals self-similar patterns.
You can control how the output appears, copy it instantly, or download the list to use elsewhere.
How to Use:
- Enter how many dragon curve terms you want to generate.
- Use the toggles to change layout:
- Line-by-line or inline formatting
- Index numbers ON or OFF
- The preview updates instantly every time you change a setting or input.
- Click “Copy Output” to copy the result to your clipboard.
- Click “Export to File” to save the full list.
- Click “Clear All” to reset everything to default.
What Calculate Dragon Curve Numbers can do:
Each term follows the rule:Sₙ = Sₙ₋₁ + ‘1’ + reverse(flip(Sₙ₋₁))
This tool does all the heavy lifting for you, building the binary sequence step-by-step. It supports dynamic formatting, lets you see how the sequence evolves, and highlights each output change with a flash. The index toggle is handy for tracking iteration steps, especially when using the data in visual generators or logic experiments.
You’ll also see a counter that shows exactly how many items were generated.
Example:
Input:
4
Settings: Line-by-line: ON, Show index: OFF
Output:
1
110
1101100
110110011100100
Common Use Cases:
Great for exploring fractals, binary-based recursion, or algorithmic pattern growth. This tool helps students visualize string evolution and gives developers a fast way to pull dragon curve data for art, games, or simulations. Whether you’re analyzing structure or just playing with bit flips, it delivers results instantly.
Useful Tools & Suggestions:
If you’re diving into patterns like the dragon curve, Generate Polynomial Sequence is useful for building structured progressions. And when you want to see how digits behave in a more chaotic way, Find Entropy of a Number gives you a peek into randomness.