Fixed UDU algorithm
Signed-off-by: Christopher Rabotin <christopher.rabotin@gmail.com>
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@ -30,37 +30,40 @@ impl<N: ComplexField, D: DimName> UDU<N, D>
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where
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where
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DefaultAllocator: Allocator<N, D, D>,
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DefaultAllocator: Allocator<N, D, D>,
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{
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{
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/// Computes the UDU^T factorization as per NASA's "Navigation Filter Best Practices", NTRS document ID 20180003657
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/// Computes the UDU^T factorization
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/// section 7.2 page 64.
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/// NOTE: The provided matrix MUST be symmetric, and no verification is done in this regard.
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/// NOTE: The provided matrix MUST be symmetric.
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/// Ref.: "Optimal control and estimation-Dover Publications", Robert F. Stengel, (1994) page 360
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pub fn new(matrix: MatrixN<N, D>) -> Self {
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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 d = MatrixN::<N, D>::zeros();
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let mut u = MatrixN::<N, D>::zeros();
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let mut u = MatrixN::<N, D>::zeros();
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let n = matrix.ncols();
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let n = p.ncols() - 1;
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d[(n, n)] = matrix[(n, n)];
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d[(n, n)] = p[(n, n)];
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u[(n, n)] = N::one();
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u[(n, n)] = N::one();
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for j in (0..n - 1).rev() {
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for j in (0..n).rev() {
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u[(j, n)] = matrix[(j, n)] / d[(n, n)];
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u[(j, n)] = p[(j, n)] / d[(n, n)];
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}
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}
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for j in (1..n).rev() {
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for j in (0..n).rev() {
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d[(j, j)] = matrix[(j, j)];
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for k in j + 1..=n {
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for k in (j + 1..n).rev() {
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d[(j, j)] = d[(j, j)] + d[(k, k)] * u[(j, k)].powi(2);
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d[(j, j)] = d[(j, j)] + d[(k, k)] * u[(j, k)].powi(2);
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}
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}
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u[(j, j)] = N::one();
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d[(j, j)] = p[(j, j)] - d[(j, j)];
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for i in (0..j - 1).rev() {
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for i in (0..=j).rev() {
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u[(i, j)] = matrix[(i, j)];
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for k in j + 1..=n {
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for k in j + 1..n {
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u[(i, j)] = u[(i, j)] + d[(k, k)] * u[(j, k)] * u[(i, k)];
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u[(i, j)] = u[(i, j)] + d[(k, k)] * u[(i, k)] * u[(j, k)];
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}
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}
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u[(i, j)] = p[(i, j)] - u[(i, j)];
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u[(i, j)] /= d[(j, j)];
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u[(i, j)] /= d[(j, j)];
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}
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}
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u[(j, j)] = N::one();
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}
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}
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Self { u, d }
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Self { u, d }
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@ -11,9 +11,9 @@ fn udu_simple() {
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let udu = UDU::new(m);
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let udu = UDU::new(m);
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// Rebuild
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// Rebuild
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let p = &udu.u * &udu.d * &udu.u.transpose();
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let p = udu.u * udu.d * udu.u.transpose();
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assert!(relative_eq!(m, 2.0*p, epsilon = 1.0e-7));
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assert!(relative_eq!(m, p, epsilon = 3.0e-16));
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}
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}
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#[cfg(feature = "arbitrary")]
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#[cfg(feature = "arbitrary")]
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@ -48,9 +48,9 @@ mod quickcheck_tests {
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let m = m.map(|e| e.0);
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let m = m.map(|e| e.0);
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let udu = UDU::new(m.clone());
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let udu = UDU::new(m.clone());
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let p = &udu.u * &udu.d * &udu.u.transpose();
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let p = udu.u * udu.d * udu.u.transpose();
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relative_eq!(m, p, epsilon = 1.0e-7)
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relative_eq!(m, p, epsilon = 3.0e-16)
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}
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}
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}
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}
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}
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}
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