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| 1 | +mutable struct ILU0Preconditioner{Tv, Ti} <: AbstractPreconditioner{Tv,Ti} |
| 2 | + extmatrix::ExtendableSparseMatrix{Tv,Ti} |
| 3 | + xdiag::Array{Tv,1} |
| 4 | + idiag::Array{Ti,1} |
| 5 | + pattern_timestamp::Float64 |
| 6 | +end |
| 7 | + |
| 8 | + |
| 9 | +function ILU0Preconditioner(extmatrix::ExtendableSparseMatrix{Tv,Ti}) where {Tv,Ti} |
| 10 | + @assert size(extmatrix,1)==size(extmatrix,2) |
| 11 | + flush!(extmatrix) |
| 12 | + n=size(extmatrix,1) |
| 13 | + xdiag=Array{Tv,1}(undef,n) |
| 14 | + idiag=Array{Ti,1}(undef,n) |
| 15 | + precon=ILU0Preconditioner{Tv, Ti}(extmatrix,xdiag,idiag,0.0) |
| 16 | + update!(precon) |
| 17 | +end |
| 18 | + |
| 19 | +function update!(precon::ILU0Preconditioner{Tv,Ti}) where {Tv,Ti} |
| 20 | + cscmatrix=precon.extmatrix.cscmatrix |
| 21 | + colptr=cscmatrix.colptr |
| 22 | + rowval=cscmatrix.rowval |
| 23 | + nzval=cscmatrix.nzval |
| 24 | + n=cscmatrix.n |
| 25 | + xdiag=precon.xdiag |
| 26 | + idiag=precon.idiag |
| 27 | + |
| 28 | + # Find main diagonal index and |
| 29 | + # copy main diagonal values |
| 30 | + if need_symbolic_update(precon) |
| 31 | + @inbounds for j=1:n |
| 32 | + @inbounds for k=colptr[j]:colptr[j+1]-1 |
| 33 | + i=rowval[k] |
| 34 | + if i==j |
| 35 | + idiag[j]=k |
| 36 | + break |
| 37 | + end |
| 38 | + end |
| 39 | + end |
| 40 | + timestamp!(precon) |
| 41 | + end |
| 42 | + |
| 43 | + @inbounds for j=1:n |
| 44 | + xdiag[j]=one(Tv)/nzval[idiag[j]] |
| 45 | + @inbounds for k=idiag[j]+1:colptr[j+1]-1 |
| 46 | + i=rowval[k] |
| 47 | + for l=colptr[i]:colptr[i+1]-1 |
| 48 | + if rowval[l]==j |
| 49 | + xdiag[i]-=nzval[l]*xdiag[j]*nzval[k] |
| 50 | + break |
| 51 | + end |
| 52 | + end |
| 53 | + end |
| 54 | + end |
| 55 | + precon |
| 56 | +end |
| 57 | + |
| 58 | + |
| 59 | +function LinearAlgebra.ldiv!(u::AbstractArray{T,1}, precon::ILU0Preconditioner, v::AbstractArray{T,1}) where T |
| 60 | + cscmatrix=precon.extmatrix.cscmatrix |
| 61 | + colptr=cscmatrix.colptr |
| 62 | + rowval=cscmatrix.rowval |
| 63 | + n=cscmatrix.n |
| 64 | + nzval=cscmatrix.nzval |
| 65 | + xdiag=precon.xdiag |
| 66 | + idiag=precon.idiag |
| 67 | + |
| 68 | + @inbounds for j=1:n |
| 69 | + x=zero(T) |
| 70 | + @inbounds for k=colptr[j]:idiag[j]-1 |
| 71 | + x+=nzval[k]*u[rowval[k]] |
| 72 | + end |
| 73 | + u[j]=xdiag[j]*(v[j]-x) |
| 74 | + end |
| 75 | + |
| 76 | + @inbounds for j=n:-1:1 |
| 77 | + x=zero(T) |
| 78 | + @inbounds for k=idiag[j]+1:colptr[j+1]-1 |
| 79 | + x+=u[rowval[k]]*nzval[k] |
| 80 | + end |
| 81 | + u[j]-=x*xdiag[j] |
| 82 | + end |
| 83 | +end |
| 84 | + |
| 85 | + |
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