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@@ -249,7 +249,7 @@ Now, given the above derivative, we can rearrange the terms (following the rules
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Here, the "to the power negative one" is the notation for the [matrix inverse](https://en.wikipedia.org/wiki/Invertible_matrix). But that's all we have to do: we're done. Starting with **P** and inventing some `t` values based on the polygon the coordinates in **P** define, we can compute the corresponding Bézier coordinates **C** that specify a curve that goes through our points. Or, if it can't go through them exactly, as near as possible.
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So before we try that out, how much code is involved in implementing this? Honestly, that answer depends on how much you're going to be writing yourself. If you already have a matrix maths library available, then really not that much code at all. On the other hand, if you are writing this from scratch, you're going to have to write some utility functions for doing your matrix work for you, so it's really anywhere from 50 lines of code to maybe 200 lines of code. Not a bad price to pay for being able to fit curves to prespecified coordinates.
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So before we try that out, how much code is involved in implementing this? Honestly, that answer depends on how much you're going to be writing yourself. If you already have a matrix maths library available, then really not that much code at all. On the other hand, if you are writing this from scratch, you're going to have to write some utility functions for doing your matrix work for you, so it's really anywhere from 50 lines of code to maybe 200 lines of code. Not a bad price to pay for being able to fit curves to pre-specified coordinates.
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So let's try it out! The following graphic lets you place points, and will start computing exact-fit curves once you've placed at least three. You can click for more points, and the code will simply try to compute an exact fit using a Bézier curve of the appropriate order. Four points? Cubic Bézier. Five points? Quartic. And so on. Of course, this does break down at some point: depending on where you place your points, it might become mighty hard for the fitter to find an exact fit, and things might actually start looking horribly off once there's enough points for compound [floating point rounding errors](https://en.wikipedia.org/wiki/Round-off_error#Floating-point_number_system) to start making a difference (which is around 10~11 points).
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