Add a SIMD version of cap_magnitude: simd_cap_magnitude.
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@ -8,9 +8,9 @@ use crate::allocator::Allocator;
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use crate::base::{DefaultAllocator, Dim, DimName, Matrix, MatrixMN, Normed, VectorN};
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use crate::constraint::{SameNumberOfColumns, SameNumberOfRows, ShapeConstraint};
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use crate::storage::{Storage, StorageMut};
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use crate::{ComplexField, RealField, Scalar, SimdComplexField, Unit};
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use crate::{ComplexField, Scalar, SimdComplexField, Unit};
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use simba::scalar::ClosedNeg;
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use simba::simd::{SimdOption, SimdPartialOrd};
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use simba::simd::{SimdOption, SimdPartialOrd, SimdValue};
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// TODO: this should be be a trait on alga?
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/// A trait for abstract matrix norms.
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@ -343,7 +343,7 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
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#[inline]
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pub fn cap_magnitude(&self, max: N::RealField) -> MatrixMN<N, R, C>
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where
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N: RealField,
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N: ComplexField,
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DefaultAllocator: Allocator<N, R, C>,
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{
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let n = self.norm();
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@ -355,6 +355,20 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
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}
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}
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/// Returns a new vector with the same magnitude as `self` clamped between `0.0` and `max`.
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#[inline]
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pub fn simd_cap_magnitude(&self, max: N::SimdRealField) -> MatrixMN<N, R, C>
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where
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N: SimdComplexField,
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N::Element: Scalar,
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DefaultAllocator: Allocator<N, R, C> + Allocator<N::Element, R, C>,
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{
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let n = self.norm();
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let scaled = self.scale(max / n);
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let use_scaled = n.simd_gt(max);
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scaled.select(use_scaled, self.clone_owned())
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}
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/// Returns a normalized version of this matrix unless its norm as smaller or equal to `eps`.
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///
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/// The components of this matrix cannot be SIMD types (see `simd_try_normalize`) instead.
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