forked from M-Labs/nalgebra
Add symmetric quadratic form computation.
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@ -3,10 +3,11 @@ use num::{Zero, One, Signed};
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use matrixmultiply;
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use alga::general::{ClosedMul, ClosedAdd};
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use core::{Scalar, Matrix, Vector};
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use core::{DefaultAllocator, Scalar, Matrix, SquareMatrix, Vector};
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use core::dimension::{Dim, U1, U2, U3, U4, Dynamic};
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use core::constraint::{ShapeConstraint, SameNumberOfRows, SameNumberOfColumns, AreMultipliable, DimEq};
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use core::storage::{Storage, StorageMut};
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use core::allocator::Allocator;
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@ -273,7 +274,7 @@ impl<N, D: Dim, S> Vector<N, D, S>
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#[inline]
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pub fn gemv_symm<D2: Dim, D3: Dim, SB, SC>(&mut self,
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alpha: N,
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a: &Matrix<N, D2, D2, SB>,
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a: &SquareMatrix<N, D2, SB>,
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x: &Vector<N, D3, SC>,
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beta: N)
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where N: One,
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@ -449,10 +450,48 @@ impl<N, R1: Dim, C1: Dim, S: StorageMut<N, R1, C1>> Matrix<N, R1, C1, S>
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assert!(dim1 == dim2 && dim1 == dim3, "ger: dimensions mismatch.");
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for j in 0 .. dim1 {
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// FIXME: avoid bound checks.
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let val = unsafe { *y.vget_unchecked(j) };
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let subdim = Dynamic::new(dim1 - j);
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// FIXME: avoid bound checks.
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self.generic_slice_mut((j, j), (subdim, U1)).axpy(alpha * val, &x.rows_range(j ..), beta);
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}
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}
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}
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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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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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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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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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}
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}
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@ -6,7 +6,7 @@ use num::{Zero, One, Signed};
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use alga::general::{ClosedMul, ClosedDiv, ClosedAdd, ClosedSub, ClosedNeg};
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use core::{DefaultAllocator, Scalar, Matrix, MatrixN, MatrixMN, MatrixSum};
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use core::{DefaultAllocator, Scalar, Matrix, MatrixN, MatrixMN, MatrixSum, SquareMatrix};
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use core::dimension::{Dim, DimName, DimProd, DimMul};
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use core::constraint::{ShapeConstraint, SameNumberOfRows, SameNumberOfColumns, AreMultipliable, DimEq};
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use core::storage::{Storage, StorageMut, ContiguousStorageMut};
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@ -52,4 +52,23 @@ 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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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 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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println!("{}{}", res, expected);
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relative_eq!(res.lower_triangle(), expected.lower_triangle(), epsilon = 1.0e-7)
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}
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}
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@ -1,8 +1,8 @@
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// mod conversion;
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// mod edition;
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// mod matrix;
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mod matrix_slice;
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// mod blas;
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// mod matrix_slice;
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mod blas;
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// mod serde;
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// #[cfg(feature = "abomonation-serialize")]
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// mod abomonation;
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