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    • Scatter-Gather Dataflow in iskra ✨
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    • Topology & Scatter-Gather
      • assemble_incidence_matrix
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      • iskra.geometry.angles
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        • normal_coordinate_system
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        • abs_tetrahedron_heights
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      • iskra.geometry.normals
        • edge_length_normals
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        • face_normals
        • triangle_area_normals
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        • vertex_normals
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    • Differential Operators
      • iskra.dec
        • d_01
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        • laplacian
        • laplacian_from_weights
        • laplacian_intrinsic
      • iskra.fem
        • grad
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        • mass
        • mass_intrinsic
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        • mass_inv
    • Implicit-Function Module
      • iskra.adjoint
        • compute_jacobian
        • compute_jacobians
        • compute_numerical_jacobian
        • make_adjoint_layer
        • make_adjoint_vjps
        • make_fixed_point_layer
    • Random Sampling
      • iskra.random
        • BBoxSampler
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        • MeshSamplingRecord
        • SamplingRecord
        • TetrahedronSampler
        • TriangleSampler
        • create_simplex_sampler
        • sample_circle
        • sample_sphere
    • Directional
      • iskra.directional
        • complex_nth_root
        • face_connection_d_01
        • face_connection_laplacian
        • face_connection_mass
        • face_tangent_bundle
        • smooth_frame_field
        • smooth_n_rosy
        • to_extrinsic
        • to_extrinsic_frame_field
        • to_extrinsic_n_rosy
        • to_intrinsic
        • to_intrinsic_frame_field
        • to_intrinsic_n_rosy
        • transport_from_face
    • iskra.deformation
    • Parameterization
      • assemble_conformal_laplacian
      • boundary_matrix
      • conformal_laplacian
      • conformal_laplacian_from_weights
      • scp_solve
      • scp_solve_from_weights
      • vertex_area_matrix
      • symmetric_dirichlet_energy
      • triangle_to_local
      • uv_local
    • iskra.io
    • iskra.signed_svd
    • iskra.skinning
  • API Reference
  • Parameterization
  • conformal_laplacian_from_weights

conformal_laplacian_from_weights#

iskra.parameterization.scp.conformal_laplacian_from_weights(d_01: Tensor, weights: Tensor, vertex_area_mat: SparseTensor) → SparseTensor[SOURCE]#

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conformal_laplacian

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scp_solve
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  • conformal_laplacian_from_weights()

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