Add a method to set the magnitude of a vector.
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@ -185,6 +185,21 @@ impl<N: ComplexField, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
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self.norm_squared()
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self.norm_squared()
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}
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}
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/// Sets the magnitude of this vector unless it is smaller than `min_magnitude`.
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///
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/// If `self.magnitude()` is smaller than `min_magnitude`, it will be left unchanged.
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/// Otherwise this is equivalent to: `*self = self.normalize() * magnitude.
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#[inline]
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pub fn try_set_magnitude(&mut self, magnitude: N::RealField, min_magnitude: N::RealField)
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where S: StorageMut<N, R, C> {
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let n = self.norm();
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if n >= min_magnitude {
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self.scale_mut(magnitude / n)
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}
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}
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/// Returns a normalized version of this matrix.
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/// Returns a normalized version of this matrix.
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#[inline]
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#[inline]
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pub fn normalize(&self) -> MatrixMN<N, R, C>
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pub fn normalize(&self) -> MatrixMN<N, R, C>
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@ -225,7 +240,7 @@ impl<N: ComplexField, R: Dim, C: Dim, S: StorageMut<N, R, C>> Matrix<N, R, C, S>
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/// Normalizes this matrix in-place or does nothing if its norm is smaller or equal to `eps`.
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/// Normalizes this matrix in-place or does nothing if its norm is smaller or equal to `eps`.
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///
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///
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/// If the normalization succeeded, returns the old normal of this matrix.
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/// If the normalization succeeded, returns the old norm of this matrix.
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#[inline]
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#[inline]
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pub fn try_normalize_mut(&mut self, min_norm: N::RealField) -> Option<N::RealField> {
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pub fn try_normalize_mut(&mut self, min_norm: N::RealField) -> Option<N::RealField> {
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let n = self.norm();
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let n = self.norm();
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