Assemblers

All docstrings from Mantis.Assemblers

julia

module Assemblers

Contains all assembly-related structs and functions.

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Mantis.Assemblers.WeakForm Type

julia

WeakForm{manifold_dim, LHS, RHS, I}

Structure representing the weak-formulation of a continuous Petrov-Galerking method. Both the left and right-hand sides of the formulation are given as blocks of real-valued operators; these are defined from a set of inputs holding the test, trial and forcing terms, and a constructor method that defines where the blocks are placed.

Fields

lhs_expressions::LHS: The left-hand side blocks of the weak-formulation.
rhs_expressions::RHS: The right-hand side blocks of the weak-formulation.
inputs::I: The inputs for the weak-formulation, which include the test and trial spaces, and forcing terms.

Type parameters

manifold_dim::Int: The dimension of the manifold where the weak-formulation is defined.
LHS: The type of the left-hand side expressions. Each row-column entry should be a subtype of AbstractRealValuedOperator or 0.
RHS: The type of the right-hand side expressions. Each row-column entry should be a subtype of AbstractRealValuedOperator or 0.
I: The type of the inputs. It should be a subtype of WeakFormInputs{manifold_dim}.

Inner constructors

WeakForm(inputs::I, constructor::F): Creates a new WeakForm instance with the given inputs and constructor function. The constructor function is used to generate the left-hand side and right-hand side blocks of real-valued operators.

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Mantis.Assemblers.WeakFormInputs Type

julia

WeakFormInputs{manifold_dim, TeF, TrF, F} <: AbstractInputs

Container for test and trial spaces, and forcing terms to be used in a weak-formulation.

Fields

test_forms::TeF: The test forms for the weak-formulation.
trial_forms::TrF: The trial forms for the weak-formulation.
forcings::F: The forcing terms for the weak-formulation, possibly nothing.

Type parameters

manifold_dim::Int: The dimension of the manifold where the weak-formulation is defined.
TeF: The type of the tupe of test forms. Each entry should be a subtype of Forms.AbstractFormSpace.
TrF: The type of the tupe of trial forms. Each entry should be a subtype of Forms.AbstractFormSpace.
F: The type of the tupe of forcing terms. Each entry should be a subtype of Forms.AbstractFormField.

Inner constructors

WeakFormInputs(test_forms::TeF, trial_forms::TrF, forcings::F): Creates a new WeakFormInputs instance with the given test forms, trial forms, and forcing terms.
WeakFormInputs(test_forms::TeF, trial_forms::TrF): Creates a new WeakFormInputs instance with the given test forms and trial forms. The forcing terms are set to nothing.
WeakFormInputs(test_forms::TeF, trial_forms::TrF, forcing::F): Creates a new WeakFormInputs instance from a single test and trial space and a forcing term.
WeakFormInputs(test_forms::TeF, trial_forms::TrF): Creates a new WeakFormInputs instance from a single test and trial space. The forcing terms are set to nothing.
WeakFormInputs(forms::TrF, forcing::F): Creates a new WeakFormInputs instance with the given trial spaces and forcing terms. The test spaces are set to the same as the trial spaces.
WeakFormInputs(forms::TrF): Creates a new WeakFormInputs instance with the given trial spaces. The test spaces are set to the same as the trial spaces and the forcing terms are set to nothing.
WeakFormInputs(forms::TrF, forcing::F): Creates a new WeakFormInputs instance with a single trial space and forcing term. The test space is set to the same as the trial space.
WeakFormInputs(forms::TrF): Creates a new WeakFormInputs instance with a single trial space. The test space is set to the same as the trial space and the forcing term is set to nothing.

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Mantis.Assemblers.L2_projection Method

julia

L2_projection(inputs::AbstractInputs, dΩ::Quadrature.AbstractGlobalQuadratureRule)

Function to compute the L2 projection of a function onto a discrete form space.

Arguments

inputs::AbstractInputs: The inputs for the weak form assembly, including test, trial and forcing terms.
dΩ::Quadrature.AbstractGlobalQuadratureRule: The quadrature rule to use for the integral evaluation.

Returns

lhs_expression<:NTuple{num_lhs_rows, NTuple{num_lhs_cols, AbstractRealValuedOperator}}: The left-hand side of the weak form, which is a tuple of tuples contain all the blocks of the left-hand side matrix.
rhs_expression<:NTuple{num_rhs_rows, NTuple{num_rhs_cols, AbstractRealValuedOperator}}: The right-hand side of the weak form, which is a tuple of tuples contain all the blocks of the right-hand side matrix.

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Mantis.Assemblers.add_bc! Method

julia

add_bc!(lhs::AbstractMatrix, rhs::AbstractMatrix, dirichlet_bcs::Dict)

Remove the rows and columns of lhs and rhs as specified by the keys of dirichlet_bcs. See also set_diagonal!. ```

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Mantis.Assemblers.add_bc! Method

julia

add_bc!(
    lhs::AbstractMatrix{T}, rhs::AbstractVector{T}, dirichlet_bcs::Dict{Int, T}
) where {T}

Set the rows to 0 and diagonals to 1 in lhs, and rows of rhs to a value, as specified by the row indices (keys) and values of dirichlet_bcs.

Examples

julia

using Mantis

Assemblers.add_bc!([2.0 2.0 2.0; 2.0 2. 2.0; 2.0 2.0 2.0], zeros(3), Dict(2 => 42.0))

# output

([2.0 2.0 2.0; 0.0 1.0 0.0; 2.0 2.0 2.0], [0.0, 42.0, 0.0])

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Mantis.Assemblers.add_expression_contributions! Method

julia

add_expression_contributions!(
    rows::Vector{Int},
    cols::Vector{Int},
    vals::AbstractVector,
    counts::Int,
    expression,
    element_id::Int,
    test_offset::Int,
    trial_offset::Int,
)

Updates the row, column, and value vectors with contributions from the specified real-valued expression at the element given by element_id.

Arguments

rows::Vector{Int}: The row indices of the array.
cols::Vector{Int}: The column indices of the array.
vals::AbstractVector: The values of the array.
counts::Int: The current count of non-zero entries in the array.
expressions: The expression to evaluate.
element_id::Int: The identifier of the element.
test_offsets::Int: The offset for the test function.
trial_offsets::Int: The offset for the trial function.

Returns

rows::Vector{Int}: The updated row indices of the array.
cols::Vector{Int}: The updated column indices of the array.
vals::AbstractVector: The updated values of the array.
counts::Int: The updated count of non-zero entries in the array.

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Mantis.Assemblers.analytical_maxwell_eigenfunction Method

julia

analytical_maxwell_eigenfunction(
    m::Int, n::Int, scale_factors::NTuple{2, Float64}, x::Matrix{Float64}
)

Evaluates the analytical Maxwell eigenfunction for the eigenmode (m, n) at points x.

Arguments

m::Int: Eigenmode component x.
n::Int: Eigenmode component y.
scale_factors::NTuple{2, Int}: Scaling factors based on the size of the domain.
x::Matrix{Float64}: Evaluation points.

Returns

NTuple{2, Vector{Float64}}: The evaluated Maxwell eigenfunction at points x.

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Mantis.Assemblers.assemble Method

julia

assemble(
    weak_form::WeakForm{manifold_dim, LHS, RHS, I},
    dirichlet_bcs::Dict{Int, Float64}=Dict{Int, Float64}();
    lhs_type::Type=spa.SparseMatrixCSC{Float64, Int},
    rhs_type::Type=Vector{Float64},
) where {
    manifold_dim,
    num_rows,
    lhs_num_cols,
    rhs_num_cols,
    LHS <: NTuple{
        num_rows, NTuple{lhs_num_cols, Union{Int, Forms.AbstractRealValuedOperator}}
    },
    RHS <: NTuple{
        num_rows, NTuple{rhs_num_cols, Union{Int, Forms.AbstractRealValuedOperator}}
    },
    I,
}

Assemble the left- and right-hand sides of a discrete Petrov-Galerkin problem for the given weak-formulation and Dirichlet boundary conditions.

Arguments

weak_form::WeakForm{manifold_dim, LHS, RHS, I}: The weak form to assemble.
dirichlet_bcs::Dict{Int, Float64}: A dictionary containing the Dirichlet boundary conditions, where the key is the index of the boundary condition and the value is the boundary condition value.
lhs_type::Type: The type of the left-hand side array. Default is SparseMatrixCSC{Float64, Int}.
rhs_type::Type: The type of the right-hand side array. Default is Vector{Float64}.

Returns

lhs::lhs_type: The assembled left-hand side array.
rhs::rhs_type: The assembled right-hand side vector.

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Mantis.Assemblers.build_array Method

julia

build_array(
    array_type::Type{A},
    rows::Vector{Int},
    cols::Vector{Int},
    vals::AbstractVector,
    size::Tuple{Int, Int},
) where {A <: AbstractArray}

Returns a array of the specified type with the given row and column indices and values.

Arguments

array_type::Type{AbstractArray}: The type of array to build.
rows::Vector{Int}: The row indices of the array.
cols::Vector{Int}: The column indices of the array.
vals::AbstractVector: The values of the array.
size::Tuple{Int, Int}: The size of the array.

Returns

::array_type: The constructed array of the specified type.

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Mantis.Assemblers.get_analytical_maxwell_eig Method

julia

get_maxwell_eig(num_eig::Int, geom::G) where {G <: Geometry.AbstractGeometry{2}}

Returns the first num_eig eigenvalues and 1-form eigenfunctions on the geometry geom.

Arguments

num_eig::Int: Number of eigenvalues and eigenfunctions to compute.
geom::Geometry.AbstractGeometry{2}: The two-dimensional geometry.

Returns

Vector{Float64}: The first num_eig analytical eigenvalues.
Vector{Forms.AnalyticalFormField{2, 1, G}: The first num_eig analytical eigenfunctions.

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Mantis.Assemblers.get_estimated_nnz_per_elem Method

julia

get_estimated_nnz_per_elem(wf::WeakForm)

Returns the estimated number of non-zero entries per element for the left- and right-hand sides of the weak-formulation.

Arguments

wf::WeakForm: The weak-formulation for which the estimated number of non-zero entries is to be determined.

Returns

Tuple(Int, Int): The estimated number of non-zero entries per element for the left-hand side and right-hand side of the weak-formulation, respectively.

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Mantis.Assemblers.get_num_elements Method

julia

get_num_elements(wf::WeakForm)

Returns the number of elements over which the discrete weak-formulation is defined.

Arguments

wf::WeakForm: The weak-formulation for which the number of elements is to be determined.

Returns

::Int: The number of elements.

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Mantis.Assemblers.get_num_evaluation_elements Method

julia

get_num_evaluation_elements(wf::WeakForm)

Returns the maximum number of elements over which the weak form blocks are evaluated. This is the max over all lhs and rhs expression blocks.

Arguments

wf::WeakForm: The weak-formulation for which the number of quadrature elements is to be determined.

Returns

::Int: The number of quadrature elements.

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Mantis.Assemblers.get_pre_allocation Method

julia

get_pre_allocation(
    weak_form::WeakForm, side::String, ::Type{A}
) where {T, A <: AbstractArray{T}}

Returns pre-allocated row, column, and value vectors for the left-hand side (lhs) or right-hand side (rhs) array.

Arguments

weak_form::WeakForm: The weak form to use for the pre-allocation.
side::String: The side of the array to pre-allocate. Must be either "lhs" or "rhs".

Returns

rows::Vector{Int}: The pre-allocated row indices.
cols::Vector{Int}: The pre-allocated column indices.
vals::Vector{T}: The pre-allocated values.

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Mantis.Assemblers.get_test_offsets Method

julia

get_test_offsets(
    wf::WeakForm{manifold_dim, LHS, RHS, I}
) where {
    manifold_dim,
    num_rows,
    lhs_num_cols,
    rhs_num_cols,
    LHS <:
    NTuple{
        num_rows, NTuple{lhs_num_cols, Union{Int, Forms.AbstractRealValuedOperator}}
    },
    RHS <:
    NTuple{
        num_rows, NTuple{rhs_num_cols, Union{Int, Forms.AbstractRealValuedOperator}}
    },
    I,
}

Returns the offsets of the test function spaces used in the weak form.

Arguments

wf::WeakForm{manifold_dim, LHS, RHS, I}: The weak form being used.

Returns

NTuple{num_rows, Int}: The offsets of the test function spaces.

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Mantis.Assemblers.get_trial_offsets Method

julia

get_trial_offsets(
    wf::WeakForm{manifold_dim, LHS, RHS, I}
) where {
    manifold_dim,
    num_rows,
    lhs_num_cols,
    rhs_num_cols,
    LHS <:
    NTuple{
        num_rows, NTuple{lhs_num_cols, Union{Int, Forms.AbstractRealValuedOperator}}
    },
    RHS <:
    NTuple{
        num_rows, NTuple{rhs_num_cols, Union{Int, Forms.AbstractRealValuedOperator}}
    },
    I,
}

Returns the offsets of the trial function spaces used in the weak form.

Arguments

wf::WeakForm{manifold_dim, LHS, RHS, I}: The weak form being used.

Returns

NTuple{lhs_num_cols, lhs_num_cols}: The offsets of the trial function spaces.

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Mantis.Assemblers.maxwell_eigenvalue Method

julia

maxwell_eigenvalue(inputs::WeakFormInputs, dΩ::Quadrature.AbstractGlobalQuadratureRule)

Function for assembling the weak form of the Maxwell eigenvalue problem.

Arguments

inputs::WeakFormInputs: The inputs for the weak form assembly, including test and trial spaces.
dΩ::Quadrature.AbstractGlobalQuadratureRule: The quadrature rule to use for the integral evaluation.

Returns

lhs_expression<:NTuple{num_lhs_rows, NTuple{num_lhs_cols, AbstractRealValuedOperator}}: The left-hand side of the weak form, which is a tuple of tuples contain all the blocks of the left-hand side matrix.
rhs_expression<:NTuple{num_rhs_rows, NTuple{num_rhs_cols, AbstractRealValuedOperator}}: The right-hand side of the weak form, which is a tuple of tuples contain all the blocks of the right-hand side matrix.

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Mantis.Assemblers.n_form_hodge_laplacian Method

julia

n_form_hodge_laplacian(
    inputs::WeakFormInputs, dΩ::Quadrature.AbstractGlobalQuadratureRule
)

Function for assembling the weak form of the n-form Hodge Laplacian problem.

Arguments

inputs::WeakFormInputs: The inputs for the weak form assembly, including test, trial and forcing terms.
dΩ::Quadrature.AbstractGlobalQuadratureRule: The quadrature rule to use for the integral evaluation.

Returns

lhs_expressions<:NTuple{num_lhs_rows, NTuple{num_lhs_cols, AbstractRealValuedOperator}}: The left-hand side of the weak form, which is a tuple of tuples contain all the blocks of the left-hand side matrix.
rhs_expressions<:NTuple{num_rhs_rows, NTuple{num_rhs_cols, AbstractRealValuedOperator}}: The right-hand side of the weak form, which is a tuple of tuples contain all the blocks of the right-hand side matrix.

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Mantis.Assemblers.one_form_hodge_laplacian Method

julia

one_form_hodge_laplacian(
    inputs::AbstractInputs, dΩ::Quadrature.AbstractGlobalQuadratureRule
)

Function for assembling the weak form of the 1-form Hodge Laplacian problem.

Arguments

inputs::AbstractInputs: The inputs for the weak form assembly, including test, trial and forcing terms.
dΩ::Quadrature.AbstractGlobalQuadratureRule: The quadrature rule to use for the integral evaluation.

Returns

lhs_expressions<:NTuple{num_lhs_rows, NTuple{num_lhs_cols, AbstractRealValuedOperator}}: The left-hand side of the weak form, which is a tuple of tuples contain all the blocks of the left-hand side matrix.
rhs_expressions<:NTuple{num_rhs_rows, NTuple{num_rhs_cols, AbstractRealValuedOperator}}: The right-hand side of the weak form, which is a tuple of tuples contain all the blocks of the right-hand side matrix.

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Mantis.Assemblers.set_diagonal! Method

julia

set_diagonal!(lhs::AbstractMatrix, rhs::AbstractMatrix, dirichlet_bcs::Dict)

Remove the rows and columns of lhs and rhs as specified by the keys of dirichlet_bcs.

Examples

julia

using Mantis

Assemblers.set_diagonal!(
    [2. 0. 0.; 0. 2. 0.; 0. 0. 2.], [2. 0. 0.; 0. 2. 0.; 0. 0. 2.], Dict(2 => 42.0)
)

# output

([2.0 0.0; 0.0 2.0], [2.0 0.0; 0.0 2.0])

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Mantis.Assemblers.set_diagonal! Method

julia

set_diagonal!(
    lhs::AbstractMatrix{T}, rhs::AbstractVector{T}, dirichlet_bcs::Dict{Int, T}
) where {T}

Set the diagonals of lhs to 1 and rows of rhs to a value, as specified by the row indices (keys) and values of dirichlet_bcs. See also add_bc!.

Examples

julia

using Mantis

Assemblers.set_diagonal!([2.0 2.0 2.0; 2.0 2. 2.0; 2.0 2.0 2.0], zeros(3), Dict(2 => 42.0))

# output

([2.0 2.0 2.0; 2.0 1.0 2.0; 2.0 2.0 2.0], [0.0, 42.0, 0.0])

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Mantis.Assemblers.solve_L2_projection Method

julia

solve_L2_projection(Xᵏ, fₑ, dΩ)

Returns the solution of the weak form of the L2 projection.

Arguments

Xᵏ: The k-form space to use as trial and test space.
fₑ: The forcing term to use for the right-hand side of the weak formulation.
dΩ: The quadrature rule to use for the assembly.

Returns

fₕ::FormField: The projection of fₑ onto Xᵏ.

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Mantis.Assemblers.solve_maxwell_eig Method

julia

solve_maxwell_eig(
    X⁰::Forms.AbstractFormSpace{2, 0},
    X¹::Forms.AbstractFormSpace{2, 1},
    dΩ::Quadrature.AbstractGlobalQuadratureRule{2},
    num_eig::Int;
    verbose::Bool=false,
)

Returns the first num_eig eigenvalues and 1-form eigenfunctions of the Maxwell eigenvalue problem.

Arguments

X⁰::Forms.AbstractFormSpace{2, 0}: The 0-form space to use as trial and test space.
X¹::Forms.AbstractFormSpace{2, 1}: The 1-form space to use as trial and test space.
dΩ::Quadrature.AbstractGlobalQuadratureRule{2}: The quadrature rule to use for the assembly.
num_eig::Int: The number of eigenvalues and eigenfunctions to compute.
verbose::Bool=false: Whether to print the nullspace offset.

Returns

ω²ₕ::Vector{Float64}: The first num_eig eigenvalues.
u¹ₕ::Vector{Forms.FormField{2, 1}}: The first num_eig eigenfunctions.

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Mantis.Assemblers.solve_maxwell_eig Method

julia

solve_maxwell_eig(
    complex::C,
    dΩₐ::Quadrature.StandardQuadrature{manifold_dim},
    num_steps::Int,
    dorfler_parameter::Float64,
    dΩₑ::Quadrature.StandardQuadrature{manifold_dim},
    Lchains::Bool,
    eigenfunction::Int,
    num_eig::Int,
    scale_factors::NTuple{manifold_dim, Float64};
    verbose::Bool=false,
) where {manifold_dim, num_forms, C <: NTuple{num_forms, Forms.AbstractFormSpace}}

Returns the first num_eig eigenvalues and 1-form eigenfunctions of the Maxwell eigenvalue problem for an adaptive loop.

Arguments

complex::C: The initial de Rham complex to use for the problem.
dΩₐ::Quadrature.StandardQuadrature{manifold_dim}: The quadrature rule to use for the assembly.
num_steps::Int: The number of adaptive steps to perform.
dorfler_parameter::Float64: The Dörfler marking parameter.
dΩₑ::Quadrature.StandardQuadrature{manifold_dim}: The quadrature rule to use for the error estimation.
Lchains::Bool: Whether to use L-chains for the refinement.
eigenfunction::Int: The index of the eigenfunction to use for the error estimation.
num_eig::Int: The number of eigenvalues and eigenfunctions to compute.
scale_factors::NTuple{manifold_dim, Float64}: The scaling factors for the geometry.
verbose::Bool=false: Whether to print the progress of the adaptive loop.

Returns

ω²ₕ::Vector{Float64}: The first num_eig eigenvalues.
u¹ₕ::Vector{Forms.FormField{manifold_dim, 1, G}}: The first num_eig eigenfunctions.

source

Mantis.Assemblers.solve_one_form_hodge_laplacian Function

julia

solve_one_form_hodge_laplacian(X⁰, X¹, f¹, dΩ)

Returns the solution of the weak form of the 1-form Hodge Laplacian.

Arguments

X⁰: The 0-form space to use as trial and test space.
X¹: The 1-form space to use as trial and test space.
f¹: The forcing term to use for the right-hand side of the weak formulation.
dΩ: The quadrature rule to use for the assembly.

Returns

δu¹ₕ::Forms.FormField: The 0-form solution of the weak-formulation.
u¹ₕ::Forms.FormField: The 1-form solution of the weak-formulation.

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Mantis.Assemblers.solve_one_form_hodge_laplacian Method

julia

solve_one_form_hodge_laplacian(
    complex::C,
    forcing_function::Function,
    dΩₐ::Quadrature.AbstractGlobalQuadratureRule{manifold_dim},
    num_steps::Int,
    dorfler_parameter::Float64,
    dΩₑ::Quadrature.AbstractGlobalQuadratureRule{manifold_dim},
    Lchains::Bool;
    verbose::Bool=false
) where {manifold_dim, num_forms, C <: NTuple{num_forms, Forms.AbstractFormSpace}}

Returns the solution of the weak form of the 1-form Hodge Laplacian from an adaptive loop.

Arguments

complex::C: The initial de Rham complex to use for the problem.
forcing_function::Function: The function to use for the forcing term.
dΩₐ::Quadrature.AbstractGlobalQuadratureRule{manifold_dim}: The quadrature rule to use for the assembly.
num_steps::Int: The number of steps to use for the adaptive loop.
dorfler_parameter::Float64: The parameter to use for the Dörfler marking.
dΩₑ::Quadrature.AbstractGlobalQuadratureRule{manifold_dim}: The quadrature rule to use for the error estimation.
Lchains::Bool: Whether to use L-chains for the refinement.
verbose::Bool=false: Whether to print the progress of the adaptive loop.

source

Mantis.Assemblers.solve_volume_form_hodge_laplacian Method

julia

solve_volume_form_hodge_laplacian(Xⁿ⁻¹, Xⁿ, fₑ, dΩ)

Returns the solution of the weak form of the n-form Hodge Laplacian.

Arguments

Xⁿ⁻¹: The (n-1)-form space to use as trial and test space.
Xⁿ: The n-form space to use as trial and test space.
fₑ: The forcing term to use for the right-hand side of the weak formulation.
dΩ: The quadrature rule to use for the assembly.

Returns

u¹ₕ: The (n-1)-form solution of the weak-formulation.
ϕ²ₕ: The n-form solution of the weak-formulation.

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Mantis.Assemblers.solve_zero_form_hodge_laplacian Method

julia

solve_zero_form_hodge_laplacian(X⁰, fₑ, dΩ)

Returns the solution of the weak form of the 0-form Hodge Laplacian.

Arguments

X⁰: The 0-form space to use as trial and test space.
fₑ: The forcing term to use for the right-hand side of the weak formulation.
dΩ: The quadrature rule to use for the assembly.

Returns

::Forms.FormField: The solution of the weak-formulation.

source

Mantis.Assemblers.zero_form_hodge_laplacian Method

julia

zero_form_hodge_laplacian(
    inputs::AbstractInputs, dΩ::Quadrature.AbstractGlobalQuadratureRule
)

Function for assembling the weak form of the 0-form Hodge Laplacian.

Arguments

inputs::AbstractInputs: The inputs for the weak form assembly, including test, trial and forcing terms.
dΩ::Quadrature.AbstractGlobalQuadratureRule: The quadrature rule to use for the integral evaluation.

Returns

lhs_expression<:NTuple{num_lhs_rows, NTuple{num_lhs_cols, AbstractRealValuedOperator}}: The left-hand side of the weak form, which is a tuple of tuples contain all the blocks of the left-hand side matrix.
rhs_expression<:NTuple{num_rhs_rows, NTuple{num_rhs_cols, AbstractRealValuedOperator}}: The right-hand side of the weak form, which is a tuple of tuples contain all the blocks of the right-hand side matrix.

source

Mantis.Assemblers.zero_rows! Method

julia

zero_rows!(
    lhs_vals::AbstractVector{T},
    rhs_vals::AbstractVector{T},
    lhs_rows::Vector{Int},
    rhs_rows::Vector{Int},
    dirichlet_bcs::Dict{Int, T},
) where {T}

For each index i that is a key of dirichlet_bcs, set the corresponding values from that row to zero, both in lhs_vals and rhs_vals.

Examples

julia

using Mantis

Assemblers.zero_rows!([1., 1., 1.], [1., 2., 3.], [1, 2, 3], [1, 3, 2], Dict(2 => 42.0))

# output

([1.0, 0.0, 1.0], [1.0, 2.0, 0.0])

source

Assemblers ​

All docstrings from Mantis.Assemblers ​

Assemblers

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