forked from M-Labs/nalgebra
Add comments for traits.
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@ -134,8 +134,7 @@ LMul<NVec<D, T>> for NMat<D, T>
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impl<D: Dim,
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T: Clone + Copy + Eq + One + Zero +
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Mul<T, T> + Quot<T, T> + Sub<T, T> + Neg<T>
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>
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Mul<T, T> + Quot<T, T> + Sub<T, T> + Neg<T>>
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Inv for NMat<D, T>
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{
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fn inverse(&self) -> NMat<D, T>
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@ -161,7 +160,7 @@ Inv for NMat<D, T>
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// instead?
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// FIXME: this is kind of uggly…
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// … but we cannot use position_betwee since we are iterating on one
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// … but we cannot use position_between since we are iterating on one
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// columns
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let mut n0 = 0u; // index of a non-zero entry
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@ -1,4 +1,5 @@
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pub trait Cross<Result>
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{
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/// Computes the cross product between two elements (usually vectors).
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fn cross(&self, other : &Self) -> Result;
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}
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@ -1,14 +1,25 @@
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pub trait Dim
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{
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/// The dimension of the object.
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fn dim() -> uint;
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}
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// Some dimension token. Useful to restrict the dimension of n-dimensional
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// object at the type-level.
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/// Dimensional token for 0-dimensions. Dimensional tokens are the preferred
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/// way to specify at the type level the dimension of n-dimensional objects.
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pub struct d0;
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/// Dimensional token for 1-dimension. Dimensional tokens are the preferred
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/// way to specify at the type level the dimension of n-dimensional objects.
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pub struct d1;
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/// Dimensional token for 2-dimensions. Dimensional tokens are the preferred
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/// way to specify at the type level the dimension of n-dimensional objects.
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pub struct d2;
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/// Dimensional token for 3-dimensions. Dimensional tokens are the preferred
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/// way to specify at the type level the dimension of n-dimensional objects.
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pub struct d3;
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/// Dimensional token for 4-dimensions. Dimensional tokens are the preferred
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/// way to specify at the type level the dimension of n-dimensional objects.
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pub struct d4;
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impl Dim for d0
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@ -1,6 +1,14 @@
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pub trait Dot<T>
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{
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/// Computes the dot (inner) product of two objects.
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fn dot(&self, &Self) -> T;
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/// Computes the norm a an object.
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fn norm(&self) -> T;
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/**
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* Computes the squared norm of an object.
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*
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* Computes the squared norm of an object. Computation of the squared norm
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* is usually faster than the norm itself.
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*/
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fn sqnorm(&self) -> T; // { self.dot(self); }
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}
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@ -1,5 +1,7 @@
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pub trait Inv
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{
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/// Returns the inverse of an element.
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fn inverse(&self) -> Self;
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/// Inplace version of `inverse`.
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fn invert(&mut self);
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}
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@ -1,6 +1,8 @@
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// FIXME: valid only for square matrices…
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pub trait Transpose
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{
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/// Computes the transpose of a matrix.
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fn transposed(&self) -> Self;
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/// Inplace version of `transposed`.
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fn transpose(&mut self);
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}
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