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Normalization is handled at the level of the weights and probably shouldn't be because weights for blades that square to zero shouldn't be included in the coefficient sum.
The text was updated successfully, but these errors were encountered:
I have renamed the method to .normalizeOnVS() since it IS a kind of normalization.
I have started on another .normalize() method that makes use of what most people seem to do. They divide by the square root of the product of a multivector with its reverse. Mine will take U -> U/ sqrt(<reverse(U) * U>_0) for now. I have to take a peek at what Shirokov would say on this, though.
Normalization is handled at the level of the weights and probably shouldn't be because weights for blades that square to zero shouldn't be included in the coefficient sum.
The text was updated successfully, but these errors were encountered: