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This library was written mainly as an excercise in geometric algebra. GA has known issues with speed and memory compared to established matrix methods.
GA is a nice theoretical tool with a steep learning curve, but once you get it, everything tends to Just Work ™️ . With matrices you have to deal with torsion and all kinds of weird things because of the extra entries that don't correspond to blades in the GA sense. So linear algebra can have a steeper implementation curve than GA, but the speedup is worth it from a user's perspective.
The text was updated successfully, but these errors were encountered:
This library was written mainly as an excercise in geometric algebra. GA has known issues with speed and memory compared to established matrix methods.
GA is a nice theoretical tool with a steep learning curve, but once you get it, everything tends to Just Work ™️ . With matrices you have to deal with torsion and all kinds of weird things because of the extra entries that don't correspond to blades in the GA sense. So linear algebra can have a steeper implementation curve than GA, but the speedup is worth it from a user's perspective.
The text was updated successfully, but these errors were encountered: