Rename outer -> kronecker product
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feeb254468
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@ -1,6 +1,6 @@
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use super::Float;
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use sbp::operators::{SbpOperator2d, UpwindOperator2d};
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use sbp::utils::sparse_sparse_outer_product;
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use sbp::utils::kronecker_product;
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fn eye(n: usize) -> sprs::CsMat<Float> {
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sprs::CsMat::eye(n)
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@ -20,8 +20,8 @@ pub fn rhs_matrix(op: &dyn SbpOperator2d, ny: usize, nx: usize) -> sprs::CsMat<F
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let d1_x = op.op_eta().diff_matrix(nx);
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let d1_y = op.op_xi().diff_matrix(ny);
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let dx = sparse_sparse_outer_product(eye(ny).view(), d1_x.view());
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let dy = sparse_sparse_outer_product(d1_y.view(), eye(nx).view());
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let dx = kronecker_product(eye(ny).view(), d1_x.view());
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let dy = kronecker_product(d1_y.view(), eye(nx).view());
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let mut a_flux = sprs::CsMat::zero((3, 3));
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a_flux.insert(1, 2, -1.0);
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@ -31,8 +31,7 @@ pub fn rhs_matrix(op: &dyn SbpOperator2d, ny: usize, nx: usize) -> sprs::CsMat<F
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b_flux.insert(0, 1, 1.0);
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b_flux.insert(1, 0, 1.0);
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&sparse_sparse_outer_product(a_flux.view(), dx.view())
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+ &sparse_sparse_outer_product(b_flux.view(), dy.view())
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&kronecker_product(a_flux.view(), dx.view()) + &kronecker_product(b_flux.view(), dy.view())
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};
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let sat_west = {
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@ -65,9 +64,9 @@ pub fn rhs_matrix(op: &dyn SbpOperator2d, ny: usize, nx: usize) -> sprs::CsMat<F
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let hi = op.op_xi().h_matrix(nx).map(|h| 1.0 / h);
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let mat = &hi * &mat;
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// Upscaling to (nx * ny, nx * ny)
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let mat = sparse_sparse_outer_product(eye(ny).view(), mat.view());
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let mat = kronecker_product(eye(ny).view(), mat.view());
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let mut sat = sparse_sparse_outer_product(aminus.view(), mat.view());
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let mut sat = kronecker_product(aminus.view(), mat.view());
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let tau = 1.0;
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// Scaling by tau
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@ -105,9 +104,9 @@ pub fn rhs_matrix(op: &dyn SbpOperator2d, ny: usize, nx: usize) -> sprs::CsMat<F
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let hi = op.op_xi().h_matrix(nx).map(|h| 1.0 / h);
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let mat = &hi * &mat;
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// Upscaling to (nx * ny, nx * ny)
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let mat = sparse_sparse_outer_product(eye(ny).view(), mat.view());
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let mat = kronecker_product(eye(ny).view(), mat.view());
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let mut sat = sparse_sparse_outer_product(aminus.view(), mat.view());
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let mut sat = kronecker_product(aminus.view(), mat.view());
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let tau = -1.0;
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// Scaling by tau
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@ -145,9 +144,9 @@ pub fn rhs_matrix(op: &dyn SbpOperator2d, ny: usize, nx: usize) -> sprs::CsMat<F
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let hi = op.op_eta().h_matrix(ny).map(|h| 1.0 / h);
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let mat = &hi * &mat;
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// Upscaling to (nx * ny, nx * ny)
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let mat = sparse_sparse_outer_product(mat.view(), eye(nx).view());
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let mat = kronecker_product(mat.view(), eye(nx).view());
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let mut sat = sparse_sparse_outer_product(bminus.view(), mat.view());
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let mut sat = kronecker_product(bminus.view(), mat.view());
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let tau = 1.0;
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// Scaling by tau
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@ -185,9 +184,9 @@ pub fn rhs_matrix(op: &dyn SbpOperator2d, ny: usize, nx: usize) -> sprs::CsMat<F
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let hi = op.op_eta().h_matrix(ny).map(|h| 1.0 / h);
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let mat = &hi * &mat;
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// Upscaling to (nx * ny, nx * ny)
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let mat = sparse_sparse_outer_product(mat.view(), eye(nx).view());
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let mat = kronecker_product(mat.view(), eye(nx).view());
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let mut sat = sparse_sparse_outer_product(bplus.view(), mat.view());
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let mut sat = kronecker_product(bplus.view(), mat.view());
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let tau = -1.0;
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// Scaling by tau
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@ -208,26 +207,26 @@ pub fn rhs_matrix_with_upwind_dissipation(
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let diss_x = {
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let diss_x = UpwindOperator2d::op_xi(op).diss_matrix(nx);
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let diss_x = sparse_sparse_outer_product(eye(ny).view(), diss_x.view());
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let diss_x = kronecker_product(eye(ny).view(), diss_x.view());
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let sa = {
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let mut sa = sprs::CsMat::zero((3, 3));
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sa.insert(1, 1, 1.0);
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sa.insert(2, 2, 1.0);
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sa
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};
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sparse_sparse_outer_product(sa.view(), diss_x.view())
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kronecker_product(sa.view(), diss_x.view())
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};
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let diss_y = {
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let diss_y = UpwindOperator2d::op_eta(op).diss_matrix(ny);
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let diss_y = sparse_sparse_outer_product(diss_y.view(), eye(nx).view());
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let diss_y = kronecker_product(diss_y.view(), eye(nx).view());
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let sa = {
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let mut sa = sprs::CsMat::zero((3, 3));
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sa.insert(0, 0, 1.0);
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sa.insert(1, 1, 1.0);
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sa
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};
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sparse_sparse_outer_product(sa.view(), diss_y.view())
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kronecker_product(sa.view(), diss_y.view())
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};
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&rhs + &(&diss_x + &diss_y)
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@ -5,9 +5,9 @@ mod jacobi;
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#[cfg(feature = "sparse")]
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pub use jacobi::*;
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#[cfg(feature = "sparse")]
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mod outer_product;
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mod kronecker_product;
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#[cfg(feature = "sparse")]
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pub use outer_product::sparse_sparse_outer_product;
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pub use kronecker_product::kronecker_product;
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pub struct Direction<T> {
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pub north: T,
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@ -2,7 +2,7 @@
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/// M = A \kron B
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#[allow(non_snake_case)]
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#[must_use]
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pub fn sparse_sparse_outer_product<
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pub fn kronecker_product<
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N: num_traits::Num + Copy + Default,
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I: sprs::SpIndex,
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Iptr: sprs::SpIndex,
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@ -114,7 +114,7 @@ pub fn sparse_sparse_outer_product<
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}
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#[test]
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fn test_outer_product() {
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fn test_kronecker_product() {
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let mut a = sprs::TriMat::new((2, 3));
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a.add_triplet(0, 1, 2);
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a.add_triplet(0, 2, 3);
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@ -153,15 +153,15 @@ fn test_outer_product() {
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}
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};
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let c = sparse_sparse_outer_product(a.view(), b.view());
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let c = kronecker_product(a.view(), b.view());
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check(c.view());
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let b = b.to_csc();
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let c = sparse_sparse_outer_product(a.view(), b.view());
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let c = kronecker_product(a.view(), b.view());
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check(c.view());
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let a = a.to_csc();
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let c = sparse_sparse_outer_product(a.view(), b.view());
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let c = kronecker_product(a.view(), b.view());
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check(c.view());
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let b = b.to_csr();
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let c = sparse_sparse_outer_product(a.view(), b.view());
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let c = kronecker_product(a.view(), b.view());
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check(c.view());
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}
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