forked from M-Labs/nalgebra
Fix quadratic form computation.
For the moment only the version that does not make any assumption regarding symmetry is implemented.
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@ -462,36 +462,41 @@ impl<N, D1: Dim, S: StorageMut<N, D1, D1>> SquareMatrix<N, D1, S>
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where N: Scalar + Zero + One + ClosedAdd + ClosedMul {
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/// Computes the quadratic form `self = alpha * lrs * mid * lhs.transpose() + beta * self`.
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pub fn quadform_symm<D2, S2, R3, C3, S3, S4>(&mut self,
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scratch: &mut Vector<N, D1, S2>,
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pub fn quadform_with_workspace<D2, S2, R3, C3, S3, D4, S4>(&mut self,
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work: &mut Vector<N, D2, S2>,
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alpha: N,
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mid: &SquareMatrix<N, D2, S3>,
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rhs: &Matrix<N, R3, C3, S4>,
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lhs: &Matrix<N, R3, C3, S3>,
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mid: &SquareMatrix<N, D4, S4>,
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beta: N)
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where D2: Dim, R3: Dim, C3: Dim,
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S2: StorageMut<N, D1>,
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S3: Storage<N, D2, D2>,
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S4: Storage<N, R3, C3>,
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ShapeConstraint: DimEq<D1, D2> + DimEq<D2, R3> + DimEq<D1, C3>, // FIXME: why is this one necessary?
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where D2: Dim, R3: Dim, C3: Dim, D4: Dim,
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S2: StorageMut<N, D2>,
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S3: Storage<N, R3, C3>,
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S4: Storage<N, D4, D4>,
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ShapeConstraint: DimEq<D1, D2> +
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DimEq<D1, R3> +
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DimEq<D2, R3> +
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DimEq<C3, D4> {
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work.gemv(N::one(), lhs, &mid.column(0), N::zero());
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self.ger(alpha, work, &lhs.column(0), beta);
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for j in 1 .. mid.ncols() {
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work.gemv(N::one(), lhs, &mid.column(j), N::zero());
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self.ger(alpha, work, &lhs.column(j), N::one());
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}
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}
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/// Computes the quadratic form `self = alpha * lrs * mid * lhs.transpose() + beta * self`.
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pub fn quadform<R3, C3, S3, D4, S4>(&mut self,
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alpha: N,
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lhs: &Matrix<N, R3, C3, S3>,
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mid: &SquareMatrix<N, D4, S4>,
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beta: N)
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where R3: Dim, C3: Dim, D4: Dim,
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S3: Storage<N, R3, C3>,
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S4: Storage<N, D4, D4>,
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ShapeConstraint: DimEq<D1, D1> + DimEq<D1, R3> + DimEq<C3, D4>,
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DefaultAllocator: Allocator<N, D1> {
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/*
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scratch.gemv(N::one(), lhs, &mid.column(0), N::zero());
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self.ger_symm(alpha, &scratch, &lhs.column(0), beta);
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for j in 1 .. mid.ncols() {
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scratch.gemv(N::one(), lhs, &mid.column(j), N::zero());
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self.ger_symm(alpha, &scratch, &lhs.column(j), N::one());
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}
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*/
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scratch.gemv_symm(N::one(), mid, &rhs.column(0), N::zero());
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self.column_mut(0).gemv(alpha, rhs, &scratch, beta);
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for j in 1 .. mid.ncols() {
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scratch.gemv_symm(N::one(), mid, &rhs.column(j), N::zero());
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self.slice_range_mut(j .., j).gemv(alpha, &rhs.rows_range(j ..), &scratch, N::one());
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}
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let mut work = unsafe { Vector::new_uninitialized_generic(self.data.shape().0, U1) };
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self.quadform_with_workspace(&mut work, alpha, lhs, mid, beta)
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}
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}
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@ -53,22 +53,18 @@ quickcheck! {
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relative_eq!(a1.lower_triangle(), a2)
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}
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fn quadform_symm(n: usize, alpha: f64, beta: f64) -> bool {
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fn quadform(n: usize, alpha: f64, beta: f64) -> bool {
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let n = cmp::max(1, cmp::min(n, 50));
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let lhs = DMatrix::<f64>::new_random(6, n);
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let mut mid = DMatrix::<f64>::new_random(n, n);
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let mid = DMatrix::<f64>::new_random(n, n);
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let mut res = DMatrix::new_random(6, 6);
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let mut scratch = Vector6::zeros();
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mid.fill_upper_triangle_with_lower_triangle();
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let expected = &res * beta + &lhs * &mid * lhs.transpose() * alpha;
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res.quadform_symm(&mut scratch, alpha, &lhs, &mid, beta);
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res.fill_upper_triangle_with_lower_triangle();
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res.quadform(alpha, &lhs, &mid , beta);
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println!("{}{}", res, expected);
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relative_eq!(res.lower_triangle(), expected.lower_triangle(), epsilon = 1.0e-7)
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relative_eq!(res, expected, epsilon = 1.0e-7)
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}
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}
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