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@ -6,7 +6,7 @@ use alga::general::ComplexField;
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use crate::allocator::Allocator;
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use crate::base::{DefaultAllocator, Matrix, MatrixMN, MatrixN, SquareMatrix};
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use crate::constraint::{SameNumberOfRows, ShapeConstraint};
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use crate::dimension::{Dim, DimAdd, DimSum, DimDiff, DimSub, Dynamic, U1};
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use crate::dimension::{Dim, DimName, DimAdd, DimSum, DimDiff, DimSub, Dynamic, U1};
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use crate::storage::{Storage, StorageMut};
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use crate::base::allocator::Reallocator;
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@ -214,21 +214,25 @@ where
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// TODO check for adjoint problems
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let mut chol= self.chol.clone().insert_column(j, N::zero()).insert_row(j, N::zero());
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// update the top center element S12
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// update the jth row
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let top_left_corner = chol.slice_range(..j-1, ..j-1);
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let colj = col.rows_range(..j-1); // clone_owned needed to get storage mut for b in solve
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let new_colj = top_left_corner.ad_solve_lower_triangular(&colj).unwrap();
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chol.slice_range_mut(..j-1, j).copy_from(&new_colj);
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let colj_minus = col.rows_range(..j-1);
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let rowj = top_left_corner.solve_lower_triangular(&colj_minus).unwrap().adjoint(); // TODO both the row and its adjoint seem to be usefull
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chol.slice_range_mut(j, ..j-1).copy_from(&rowj);
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// update the center element S22
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let rowj = chol.slice_range(j, ..j-1);
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// update the center element
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let center_element = N::sqrt(col[j] + rowj.dot(&rowj.adjoint())); // TODO is there a better way to multiply a vector by its adjoint ? norm_squared ?
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chol[(j,j)] = center_element;
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// update the right center element S23
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//chol.slice_range_mut(j+1.., j).copy_from(&new_rowj);
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// update the jth column
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let colj_plus = col.rows_range(j+1..).adjoint();
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let bottom_left_corner = chol.slice_range(j+1, ..j-1);
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let colj = (colj_plus - bottom_left_corner*rowj.adjoint()) / center_element;
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chol.slice_range_mut(j+1.., j).copy_from(&colj);
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// update the bottom right corner
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let mut bottom_right_corner = chol.slice_range_mut(j.., j..);
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rank_one_update_helper(&mut bottom_right_corner, &colj, -N::real(N::one()));
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// TODO see https://en.wikipedia.org/wiki/Cholesky_decomposition#Updating_the_decomposition
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Cholesky { chol }
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@ -276,7 +280,9 @@ where
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/// performs a rank one update such that we end up with the decomposition of `M + sigma * v*v.adjoint()`.
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fn rank_one_update_helper<N, D, S, R2, S2>(chol : &mut Matrix<N, D, D, S>, x: &Matrix<N, R2, U1, S2>, sigma: N::RealField)
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where
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N: ComplexField, D: DimSub<Dynamic>, R2: Dim,
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N: ComplexField,
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D: DimSub<Dynamic>,
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R2: Dim,
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S: StorageMut<N, D, D>,
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S2: Storage<N, R2, U1>,
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DefaultAllocator: Allocator<N, D, D> + Allocator<N, R2, U1>,
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