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quantumOrange/CubicSpline 2.0.0

A performant cubic spline

⭐️ 6

🕓 3 weeks ago

.package(url: "https://github.com/quantumOrange/CubicSpline.git", from: "2.0.0")

A performant cubic spline.

```
import CubicSpline
import CubicSplineUI
let points:[SIMD2<Double>] = [[0.0,0.9],[0.3,1.0],[0.7,0.0],[0.9,0.6],[1.4,0.6],[2,1.0]]
let spline = CubicSpline(points:points)
```

Create a SwiftUI view like this:

```
SplineView(spline:spline)
```

This view will stretch the spline to fit the available space. If that is not do exactly what you want, you can obtain a path from the spline :

```
let path = spline.path
```

This path will be in the same coordinate system as the points used to create the spline. You can then transform the path as needed and construct your own shape.

The spline is callable, with a value in the range 0...1 :

```
let u = spline(t: 0.1)
```

You can get an array of cubic curves, which are also callable in the range 0...1:

```
let curve = spline.cubicCurves.first!
let v = curve(t: 0.5)
```

To create a closed spline from an array of points just pass `true`

for closed:

```
let spline = CubicSpline(points:points, closed:true)
```

CubicSpline also supports splines in 3 and higher dimensions. All SIMD types where the scalar is a Double will work.

$O(n)$

CubicSpline uses the Accelerate framework (or LAPack on Linux) to speed up the linear algebra. Building a spline with 10 000 points takes 0.02 s on a M1 Max Mac Pro.

I have not tested on Linux yet, but it *should* work. You will need install LAPack:

`sudo apt-get install liblapacke-dev`

Note that CubicSplineUI is not available on Linux, as it requires SwiftUI.

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Last commit: 5 days ago |

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