forked from M-Labs/nalgebra
UDU: Expand to Dim from DimName
Signed-off-by: Christopher Rabotin <christopher.rabotin@gmail.com>
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@ -3,13 +3,13 @@ use serde::{Deserialize, Serialize};
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use crate::allocator::Allocator;
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use crate::base::{DefaultAllocator, MatrixN};
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use crate::dimension::DimName;
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use crate::dimension::Dim;
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use simba::scalar::ComplexField;
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/// UDU factorization
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#[cfg_attr(feature = "serde-serialize", derive(Serialize, Deserialize))]
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#[derive(Clone, Debug)]
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pub struct UDU<N: ComplexField, D: DimName>
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pub struct UDU<N: ComplexField, D: Dim>
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where
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DefaultAllocator: Allocator<N, D, D>,
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{
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@ -19,14 +19,14 @@ where
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pub d: MatrixN<N, D>,
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}
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impl<N: ComplexField, D: DimName> Copy for UDU<N, D>
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impl<N: ComplexField, D: Dim> Copy for UDU<N, D>
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where
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DefaultAllocator: Allocator<N, D, D>,
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MatrixN<N, D>: Copy,
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{
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}
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impl<N: ComplexField, D: DimName> UDU<N, D>
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impl<N: ComplexField, D: Dim> UDU<N, D>
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where
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DefaultAllocator: Allocator<N, D, D>,
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{
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@ -34,10 +34,11 @@ where
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/// NOTE: The provided matrix MUST be symmetric, and no verification is done in this regard.
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/// Ref.: "Optimal control and estimation-Dover Publications", Robert F. Stengel, (1994) page 360
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pub fn new(p: MatrixN<N, D>) -> Self {
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let mut d = MatrixN::<N, D>::zeros();
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let mut u = MatrixN::<N, D>::zeros();
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let n = p.ncols();
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let n_as_dim = D::from_usize(n);
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let mut d = MatrixN::<N, D>::zeros_generic(n_as_dim, n_as_dim);
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let mut u = MatrixN::<N, D>::zeros_generic(n_as_dim, n_as_dim);
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d[(n - 1, n - 1)] = p[(n - 1, n - 1)];
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u[(n - 1, n - 1)] = N::one();
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