Add matrix form to maxwell
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@ -104,7 +104,7 @@ impl<SBP: SbpOperator2d> System<SBP> {
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let metrics = grid.metrics(&op).unwrap();
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let metrics = grid.metrics(&op).unwrap();
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#[cfg(feature = "sparse")]
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#[cfg(feature = "sparse")]
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let rhs = sparse::rhs_matrix(&op, ny, nx);
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let rhs = sparse::rhs_matrix(&op, &grid).rhs;
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#[cfg(feature = "sparse")]
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#[cfg(feature = "sparse")]
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let lhs = sparse::implicit_matrix(rhs.view(), 0.2 / std::cmp::max(ny, nx) as Float);
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let lhs = sparse::implicit_matrix(rhs.view(), 0.2 / std::cmp::max(ny, nx) as Float);
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@ -160,6 +160,7 @@ impl<SBP: SbpOperator2d> System<SBP> {
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#[cfg(feature = "sparse")]
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#[cfg(feature = "sparse")]
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pub fn advance_sparse(&mut self, dt: Float) {
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pub fn advance_sparse(&mut self, dt: Float) {
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let rhs = self.rhs.view();
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let rhs = self.rhs.view();
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//let lhs = self.explicit.view();
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let rhs_f = |next: &mut Field, now: &Field, _t: Float| {
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let rhs_f = |next: &mut Field, now: &Field, _t: Float| {
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next.fill(0.0);
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next.fill(0.0);
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sprs::prod::mul_acc_mat_vec_csr(
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sprs::prod::mul_acc_mat_vec_csr(
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@ -167,6 +168,7 @@ impl<SBP: SbpOperator2d> System<SBP> {
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now.as_slice().unwrap(),
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now.as_slice().unwrap(),
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next.as_slice_mut().unwrap(),
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next.as_slice_mut().unwrap(),
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);
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);
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// sprs::lingalg::dsolve(..)
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};
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};
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sbp::integrate::integrate::<sbp::integrate::Rk4, _, _>(
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sbp::integrate::integrate::<sbp::integrate::Rk4, _, _>(
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rhs_f,
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rhs_f,
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@ -14,14 +14,31 @@ pub fn implicit_matrix(rhs: sprs::CsMatView<Float>, dt: Float) -> sprs::CsMat<Fl
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&eye(n) - &f
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&eye(n) - &f
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}
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}
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/// Assumes self boundaries
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fn diagonal(values: &[Float]) -> sprs::CsMat<Float> {
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pub fn rhs_matrix(op: &dyn SbpOperator2d, ny: usize, nx: usize) -> sprs::CsMat<Float> {
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let values = values.to_vec();
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let fluxes = {
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let indptr = (0..values.len() + 1).collect();
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let d1_x = op.op_eta().diff_matrix(nx);
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let indices = (0..values.len()).collect();
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let d1_y = op.op_xi().diff_matrix(ny);
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let dx = kronecker_product(eye(ny).view(), d1_x.view());
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sprs::CsMat::new((values.len(), values.len()), indptr, indices, values)
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let dy = kronecker_product(d1_y.view(), eye(nx).view());
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}
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pub struct Implicit {
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pub(crate) rhs: sprs::CsMat<Float>,
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/// Diagonal matrix
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pub(crate) lhs: sprs::CsMat<Float>,
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}
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/// Assumes self boundaries
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pub fn rhs_matrix(op: &dyn SbpOperator2d, grid: &super::Grid) -> Implicit {
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let metrics = grid.metrics(op).unwrap();
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let nx = grid.nx();
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let ny = grid.ny();
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let fluxes = {
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let d1_xi = op.op_eta().diff_matrix(nx);
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let d1_eta = op.op_xi().diff_matrix(ny);
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let d1_xi = kronecker_product(eye(ny).view(), d1_xi.view());
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let d1_eta = kronecker_product(d1_eta.view(), eye(nx).view());
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let mut a_flux = sprs::CsMat::zero((3, 3));
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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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a_flux.insert(1, 2, -1.0);
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@ -31,29 +48,82 @@ 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(0, 1, 1.0);
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b_flux.insert(1, 0, 1.0);
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b_flux.insert(1, 0, 1.0);
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&kronecker_product(a_flux.view(), dx.view()) + &kronecker_product(b_flux.view(), dy.view())
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let detj_dxi_dx = diagonal(metrics.detj_dxi_dx().as_slice().unwrap());
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let detj_dxi_dx = &d1_xi * &detj_dxi_dx;
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// Can multiply with the constant matrix after differentiation
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let f_flux_dxi = kronecker_product(a_flux.view(), detj_dxi_dx.view());
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let detj_dxi_dy = diagonal(metrics.detj_dxi_dy().as_slice().unwrap());
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let detj_dxi_dy = &d1_xi * &detj_dxi_dy;
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let f_flux_deta = kronecker_product(b_flux.view(), detj_dxi_dy.view());
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let detj_deta_dx = diagonal(metrics.detj_deta_dx().as_slice().unwrap());
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let detj_deta_dx = &d1_eta * &detj_deta_dx;
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let g_flux_dxi = kronecker_product(a_flux.view(), detj_deta_dx.view());
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let detj_deta_dy = diagonal(metrics.detj_deta_dy().as_slice().unwrap());
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let detj_deta_dy = &d1_eta * &detj_deta_dy;
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let g_flux_deta = kronecker_product(b_flux.view(), detj_deta_dy.view());
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let f_flux = &f_flux_dxi + &f_flux_deta;
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let g_flux = &g_flux_dxi + &g_flux_deta;
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&f_flux + &g_flux
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};
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fn flux_matrix(
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kx: ndarray::ArrayView2<Float>,
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ky: ndarray::ArrayView2<Float>,
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positive: bool,
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) -> sprs::CsMat<Float> {
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let mut r = &(&kx * &kx) + &(&ky * &ky);
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r.map_inplace(|v| *v = v.sqrt());
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let a00 = if positive {
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&ky * &ky / (2.0 * &r)
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} else {
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-&ky * &ky / (2.0 * &r)
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};
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let a00 = diagonal(a00.as_slice().unwrap());
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let a01 = &ky / 2.0;
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let a01 = diagonal(a01.as_slice().unwrap());
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let a02 = &kx * &ky / (2.0 * &r);
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let a02 = diagonal(a02.as_slice().unwrap());
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let a10 = &a01;
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let a11 = if positive { &r / 2.0 } else { -&r / 2.0 };
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let a11 = diagonal(a11.as_slice().unwrap());
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let a12 = -&kx / 2.0;
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let a12 = diagonal(a12.as_slice().unwrap());
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let a20 = &a02;
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let a21 = &a12;
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let a22 = if positive {
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&kx * &kx / (2.0 * &r)
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} else {
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-&kx * &kx / (2.0 * &r)
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};
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let a22 = diagonal(a22.as_slice().unwrap());
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sprs::bmat(&[
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[Some(a00.view()), Some(a01.view()), Some(a02.view())],
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[Some(a10.view()), Some(a11.view()), Some(a12.view())],
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[Some(a20.view()), Some(a21.view()), Some(a22.view())],
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])
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}
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let e0 = |n| {
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let mut e0 = sprs::CsMat::zero((n, 1));
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e0.insert(0, 0, 1.0);
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e0
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};
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let en = |n| {
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let mut en = sprs::CsMat::zero((n, 1));
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en.insert(n - 1, 0, 1.0);
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en
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};
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};
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let sat_west = {
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let sat_west = {
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// West boundary
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// West boundary
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let aminus = {
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let e0 = e0(nx);
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let mut aminus = sprs::CsMat::zero((3, 3));
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let en = en(nx);
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aminus.insert(1, 1, -0.5);
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aminus.insert(1, 2, -0.5);
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aminus.insert(2, 1, -0.5);
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aminus.insert(2, 2, -0.5);
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aminus
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};
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let e0 = {
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let mut e0 = sprs::CsMat::zero((nx, 1));
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e0.insert(0, 0, 1.0);
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e0
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};
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let en = {
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let mut en = sprs::CsMat::zero((nx, 1));
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en.insert(nx - 1, 0, 1.0);
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en
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};
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// Periodic => (e_0 - e_n)q => 0
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// Periodic => (e_0 - e_n)q => 0
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let p = &e0 - &en;
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let p = &e0 - &en;
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@ -66,7 +136,8 @@ pub fn rhs_matrix(op: &dyn SbpOperator2d, ny: usize, nx: usize) -> sprs::CsMat<F
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// Upscaling to (nx * ny, nx * ny)
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// Upscaling to (nx * ny, nx * ny)
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let mat = kronecker_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 = kronecker_product(aminus.view(), mat.view());
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let aminus = flux_matrix(metrics.detj_dxi_dx(), metrics.detj_dxi_dy(), false);
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let mut sat = &aminus * &kronecker_product(eye(3).view(), mat.view());
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let tau = 1.0;
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let tau = 1.0;
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// Scaling by tau
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// Scaling by tau
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@ -76,24 +147,8 @@ pub fn rhs_matrix(op: &dyn SbpOperator2d, ny: usize, nx: usize) -> sprs::CsMat<F
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let sat_east = {
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let sat_east = {
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// East boundary
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// East boundary
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let aminus = {
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let e0 = e0(nx);
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let mut aplus = sprs::CsMat::zero((3, 3));
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let en = en(nx);
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aplus.insert(1, 1, 0.5);
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aplus.insert(1, 2, -0.5);
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aplus.insert(2, 1, -0.5);
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aplus.insert(2, 2, 0.5);
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aplus
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};
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let e0 = {
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let mut e0 = sprs::CsMat::zero((nx, 1));
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e0.insert(0, 0, 1.0);
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e0
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};
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let en = {
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let mut en = sprs::CsMat::zero((nx, 1));
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en.insert(nx - 1, 0, 1.0);
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en
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};
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// Periodic => (e_0 - e_n) => 0
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// Periodic => (e_0 - e_n) => 0
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let p = &en - &e0;
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let p = &en - &e0;
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@ -106,7 +161,9 @@ pub fn rhs_matrix(op: &dyn SbpOperator2d, ny: usize, nx: usize) -> sprs::CsMat<F
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// Upscaling to (nx * ny, nx * ny)
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// Upscaling to (nx * ny, nx * ny)
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let mat = kronecker_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 = kronecker_product(aminus.view(), mat.view());
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let aplus = flux_matrix(metrics.detj_dxi_dx(), metrics.detj_dxi_dy(), true);
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let mut sat = &aplus * &kronecker_product(eye(3).view(), mat.view());
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let tau = -1.0;
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let tau = -1.0;
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// Scaling by tau
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// Scaling by tau
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@ -116,24 +173,8 @@ pub fn rhs_matrix(op: &dyn SbpOperator2d, ny: usize, nx: usize) -> sprs::CsMat<F
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let sat_south = {
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let sat_south = {
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// South boundary
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// South boundary
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let bminus = {
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let e0 = e0(ny);
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let mut bminus = sprs::CsMat::zero((3, 3));
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let en = en(ny);
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bminus.insert(0, 0, -0.5);
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bminus.insert(0, 1, 0.5);
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bminus.insert(1, 0, 0.5);
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bminus.insert(1, 1, -0.5);
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bminus
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};
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let e0 = {
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let mut e0 = sprs::CsMat::zero((ny, 1));
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e0.insert(0, 0, 1.0);
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e0
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};
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let en = {
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let mut en = sprs::CsMat::zero((ny, 1));
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en.insert(ny - 1, 0, 1.0);
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en
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};
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// Periodic => (e_0 - e_n) => 0
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// Periodic => (e_0 - e_n) => 0
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let p = &e0 - &en;
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let p = &e0 - &en;
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@ -146,7 +187,9 @@ pub fn rhs_matrix(op: &dyn SbpOperator2d, ny: usize, nx: usize) -> sprs::CsMat<F
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// Upscaling to (nx * ny, nx * ny)
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// Upscaling to (nx * ny, nx * ny)
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let mat = kronecker_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 = kronecker_product(bminus.view(), mat.view());
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let bminus = flux_matrix(metrics.detj_deta_dx(), metrics.detj_deta_dy(), false);
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let mut sat = &bminus * &kronecker_product(eye(3).view(), mat.view());
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let tau = 1.0;
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let tau = 1.0;
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// Scaling by tau
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// Scaling by tau
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@ -156,24 +199,8 @@ pub fn rhs_matrix(op: &dyn SbpOperator2d, ny: usize, nx: usize) -> sprs::CsMat<F
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let sat_north = {
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let sat_north = {
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// North boundary
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// North boundary
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let bplus = {
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let e0 = e0(ny);
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let mut bplus = sprs::CsMat::zero((3, 3));
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let en = en(ny);
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bplus.insert(0, 0, 0.5);
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bplus.insert(0, 1, 0.5);
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bplus.insert(1, 0, 0.5);
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bplus.insert(1, 1, 0.5);
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bplus
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};
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let e0 = {
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let mut e0 = sprs::CsMat::zero((ny, 1));
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e0.insert(0, 0, 1.0);
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e0
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};
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let en = {
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let mut en = sprs::CsMat::zero((ny, 1));
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en.insert(ny - 1, 0, 1.0);
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en
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};
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// Periodic => (e_0 - e_n) => 0
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// Periodic => (e_0 - e_n) => 0
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let p = &en - &e0;
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let p = &en - &e0;
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@ -186,7 +213,9 @@ pub fn rhs_matrix(op: &dyn SbpOperator2d, ny: usize, nx: usize) -> sprs::CsMat<F
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// Upscaling to (nx * ny, nx * ny)
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// Upscaling to (nx * ny, nx * ny)
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let mat = kronecker_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 = kronecker_product(bplus.view(), mat.view());
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let bminus = flux_matrix(metrics.detj_deta_dx(), metrics.detj_deta_dy(), true);
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let mut sat = &bminus * &kronecker_product(eye(3).view(), mat.view());
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let tau = -1.0;
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let tau = -1.0;
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// Scaling by tau
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// Scaling by tau
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@ -194,49 +223,74 @@ pub fn rhs_matrix(op: &dyn SbpOperator2d, ny: usize, nx: usize) -> sprs::CsMat<F
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sat
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sat
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};
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};
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&fluxes + &(&(&sat_west + &sat_east) + &(&sat_north + &sat_south))
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let rhs = &fluxes + &(&(&sat_west + &sat_east) + &(&sat_north + &sat_south));
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Implicit {
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rhs,
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lhs: kronecker_product(
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sprs::CsMat::eye(3).view(),
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diagonal(metrics.detj().as_slice().unwrap()).view(),
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),
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}
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}
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}
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/// RHS with some additional dissipation from the upwind operator
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/// RHS with some additional dissipation from the upwind operator
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pub fn rhs_matrix_with_upwind_dissipation(
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pub fn rhs_matrix_with_upwind_dissipation(
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op: &dyn UpwindOperator2d,
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op: &dyn UpwindOperator2d,
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ny: usize,
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grid: &super::Grid,
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nx: usize,
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) -> sprs::CsMat<Float> {
|
) -> sprs::CsMat<Float> {
|
||||||
let rhs = rhs_matrix(op.as_sbp(), ny, nx);
|
let rhs = rhs_matrix(op.as_sbp(), grid).rhs;
|
||||||
|
let metrics = grid.metrics(op.as_sbp()).unwrap();
|
||||||
|
let nx = grid.nx();
|
||||||
|
let ny = grid.ny();
|
||||||
|
|
||||||
|
let diss = |kx: ndarray::ArrayView2<Float>, ky: ndarray::ArrayView2<Float>| {
|
||||||
|
let r = &kx * &kx + &ky * &ky;
|
||||||
|
let s00 = &ky * &ky / &r;
|
||||||
|
let s00 = diagonal(s00.as_slice().unwrap());
|
||||||
|
let s02 = -&kx * &ky / &r;
|
||||||
|
let s02 = diagonal(s02.as_slice().unwrap());
|
||||||
|
let s11 = diagonal(r.as_slice().unwrap());
|
||||||
|
let s20 = &s02;
|
||||||
|
let s22 = &kx * &kx / &r;
|
||||||
|
let s22 = diagonal(s22.as_slice().unwrap());
|
||||||
|
sprs::bmat(&[
|
||||||
|
[Some(s00.view()), None, Some(s02.view())],
|
||||||
|
[None, Some(s11.view()), None],
|
||||||
|
[Some(s20.view()), None, Some(s22.view())],
|
||||||
|
])
|
||||||
|
};
|
||||||
|
|
||||||
let diss_x = {
|
let diss_x = {
|
||||||
let diss_x = UpwindOperator2d::op_xi(op).diss_matrix(nx);
|
let diss_x = UpwindOperator2d::op_xi(op).diss_matrix(nx);
|
||||||
let diss_x = kronecker_product(eye(ny).view(), diss_x.view());
|
let diss_x = kronecker_product(eye(ny).view(), diss_x.view());
|
||||||
let sa = {
|
let met = diss(metrics.detj_dxi_dx(), metrics.detj_dxi_dy());
|
||||||
let mut sa = sprs::CsMat::zero((3, 3));
|
&met * &kronecker_product(eye(3).view(), diss_x.view())
|
||||||
sa.insert(1, 1, 1.0);
|
|
||||||
sa.insert(2, 2, 1.0);
|
|
||||||
sa
|
|
||||||
};
|
|
||||||
kronecker_product(sa.view(), diss_x.view())
|
|
||||||
};
|
};
|
||||||
|
|
||||||
let diss_y = {
|
let diss_y = {
|
||||||
let diss_y = UpwindOperator2d::op_eta(op).diss_matrix(ny);
|
let diss_y = UpwindOperator2d::op_eta(op).diss_matrix(ny);
|
||||||
let diss_y = kronecker_product(diss_y.view(), eye(nx).view());
|
let diss_y = kronecker_product(diss_y.view(), eye(nx).view());
|
||||||
let sa = {
|
let met = diss(metrics.detj_deta_dx(), metrics.detj_deta_dy());
|
||||||
let mut sa = sprs::CsMat::zero((3, 3));
|
&met * &kronecker_product(eye(3).view(), diss_y.view())
|
||||||
sa.insert(0, 0, 1.0);
|
|
||||||
sa.insert(1, 1, 1.0);
|
|
||||||
sa
|
|
||||||
};
|
|
||||||
kronecker_product(sa.view(), diss_y.view())
|
|
||||||
};
|
};
|
||||||
|
|
||||||
&rhs + &(&diss_x + &diss_y)
|
&rhs + &(&diss_x + &diss_y)
|
||||||
}
|
}
|
||||||
|
|
||||||
#[test]
|
#[test]
|
||||||
fn dummy() {
|
fn creation() {
|
||||||
let ny = 16;
|
let ny = 16;
|
||||||
let nx = 17;
|
let nx = 170;
|
||||||
|
|
||||||
let rhs = rhs_matrix(&sbp::operators::Upwind4, ny, nx);
|
let x = ndarray::Array::from_shape_fn((ny, nx), |(_j, i)| i as Float / (nx - 1) as Float);
|
||||||
let _lhs = implicit_matrix(rhs.view(), 1e-2);
|
let y = ndarray::Array::from_shape_fn((ny, nx), |(j, _i)| j as Float / (ny - 1) as Float);
|
||||||
|
|
||||||
|
let op = &sbp::operators::Upwind4;
|
||||||
|
|
||||||
|
let grid = sbp::grid::Grid::new(x, y).unwrap();
|
||||||
|
|
||||||
|
let _rhs = rhs_matrix(op, &grid);
|
||||||
|
// let _lhs = implicit_matrix(rhs.view(), 1e-2);
|
||||||
|
let _rhs_upwind = rhs_matrix_with_upwind_dissipation(op, &grid);
|
||||||
}
|
}
|
||||||
|
|
|
@ -114,6 +114,12 @@ impl Metrics {
|
||||||
detj_deta_dy,
|
detj_deta_dy,
|
||||||
})
|
})
|
||||||
}
|
}
|
||||||
|
pub fn nx(&self) -> usize {
|
||||||
|
self.detj.shape()[1]
|
||||||
|
}
|
||||||
|
pub fn ny(&self) -> usize {
|
||||||
|
self.detj.shape()[0]
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
impl Metrics {
|
impl Metrics {
|
||||||
|
|
Loading…
Reference in New Issue