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Use semicolon
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@amontoison
amontoison committed Oct 7, 2022
1 parent 25f8524 commit 95d36a5
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Showing 34 changed files with 125 additions and 125 deletions.
4 changes: 2 additions & 2 deletions src/bicgstab.jl
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Expand Up @@ -53,12 +53,12 @@ and `false` otherwise.
#### Input arguments
* `A`: a linear operator that models a matrix of dimension n.
* `A`: a linear operator that models a matrix of dimension n;
* `b`: a vector of length n.
#### Output arguments
* `x`: a dense vector of length n.
* `x`: a dense vector of length n;
* `stats`: statistics collected on the run in a [`SimpleStats`](@ref) structure.
#### References
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4 changes: 2 additions & 2 deletions src/bilq.jl
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Expand Up @@ -41,12 +41,12 @@ and `false` otherwise.
#### Input arguments
* `A`: a linear operator that models a matrix of dimension n.
* `A`: a linear operator that models a matrix of dimension n;
* `b`: a vector of length n.
#### Output arguments
* `x`: a dense vector of length n.
* `x`: a dense vector of length n;
* `stats`: statistics collected on the run in a [`SimpleStats`](@ref) structure.
#### References
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8 changes: 4 additions & 4 deletions src/bilqr.jl
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Expand Up @@ -44,14 +44,14 @@ and `false` otherwise.
#### Input arguments
* `A`: a linear operator that models a matrix of dimension n.
* `b`: a vector of length n.
* `A`: a linear operator that models a matrix of dimension n;
* `b`: a vector of length n;
* `c`: a vector of length n.
#### Output arguments
* `x`: a dense vector of length n.
* `y`: a dense vector of length n.
* `x`: a dense vector of length n;
* `y`: a dense vector of length n;
* `stats`: statistics collected on the run in a [`AdjointStats`](@ref) structure.
#### Reference
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4 changes: 2 additions & 2 deletions src/cg.jl
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Expand Up @@ -48,12 +48,12 @@ and `false` otherwise.
#### Input arguments
* `A`: a linear operator that models a Hermitian positive definite matrix of dimension n.
* `A`: a linear operator that models a Hermitian positive definite matrix of dimension n;
* `b`: a vector of length n.
#### Output arguments
* `x`: a dense vector of length n.
* `x`: a dense vector of length n;
* `stats`: statistics collected on the run in a [`SimpleStats`](@ref) structure.
#### Reference
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4 changes: 2 additions & 2 deletions src/cg_lanczos.jl
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Expand Up @@ -43,12 +43,12 @@ and `false` otherwise.
#### Input arguments
* `A`: a linear operator that models a Hermitian matrix of dimension n.
* `A`: a linear operator that models a Hermitian matrix of dimension n;
* `b`: a vector of length n.
#### Output arguments
* `x`: a dense vector of length n.
* `x`: a dense vector of length n;
* `stats`: statistics collected on the run in a [`LanczosStats`](@ref) structure.
#### References
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6 changes: 3 additions & 3 deletions src/cg_lanczos_shift.jl
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Expand Up @@ -39,13 +39,13 @@ and `false` otherwise.
#### Input arguments
* `A`: a linear operator that models a Hermitian matrix of dimension n.
* `b`: a vector of length n.
* `A`: a linear operator that models a Hermitian matrix of dimension n;
* `b`: a vector of length n;
* `shifts`: a vector of length nshifts.
#### Output arguments
* `x`: a vector of nshifts dense vectors, each one of length n.
* `x`: a vector of nshifts dense vectors, each one of length n;
* `stats`: statistics collected on the run in a [`LanczosShiftStats`](@ref) structure.
#### References
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4 changes: 2 additions & 2 deletions src/cgls.jl
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Expand Up @@ -58,12 +58,12 @@ and `false` otherwise.
#### Input arguments
* `A`: a linear operator that models a matrix of dimension n × m.
* `A`: a linear operator that models a matrix of dimension n × m;
* `b`: a vector of length n.
#### Output arguments
* `x`: a dense vector of length m.
* `x`: a dense vector of length m;
* `stats`: statistics collected on the run in a [`SimpleStats`](@ref) structure.
#### References
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4 changes: 2 additions & 2 deletions src/cgne.jl
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Expand Up @@ -67,12 +67,12 @@ and `false` otherwise.
#### Input arguments
* `A`: a linear operator that models a matrix of dimension n × m.
* `A`: a linear operator that models a matrix of dimension n × m;
* `b`: a vector of length n.
#### Output arguments
* `x`: a dense vector of length m.
* `x`: a dense vector of length m;
* `stats`: statistics collected on the run in a [`SimpleStats`](@ref) structure.
#### References
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4 changes: 2 additions & 2 deletions src/cgs.jl
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Expand Up @@ -51,12 +51,12 @@ and `false` otherwise.
#### Input arguments
* `A`: a linear operator that models a matrix of dimension n.
* `A`: a linear operator that models a matrix of dimension n;
* `b`: a vector of length n.
#### Output arguments
* `x`: a dense vector of length n.
* `x`: a dense vector of length n;
* `stats`: statistics collected on the run in a [`SimpleStats`](@ref) structure.
#### Reference
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4 changes: 2 additions & 2 deletions src/cr.jl
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Expand Up @@ -45,12 +45,12 @@ and `false` otherwise.
#### Input arguments
* `A`: a linear operator that models a Hermitian positive definite matrix of dimension n.
* `A`: a linear operator that models a Hermitian positive definite matrix of dimension n;
* `b`: a vector of length n.
#### Output arguments
* `x`: a dense vector of length n.
* `x`: a dense vector of length n;
* `stats`: statistics collected on the run in a [`SimpleStats`](@ref) structure.
#### References
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6 changes: 3 additions & 3 deletions src/craig.jl
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Expand Up @@ -91,13 +91,13 @@ and `false` otherwise.
#### Input arguments
* `A`: a linear operator that models a matrix of dimension n × m.
* `A`: a linear operator that models a matrix of dimension n × m;
* `b`: a vector of length n.
#### Output arguments
* `x`: a dense vector of length m.
* `y`: a dense vector of length n.
* `x`: a dense vector of length m;
* `y`: a dense vector of length n;
* `stats`: statistics collected on the run in a [`SimpleStats`](@ref) structure.
#### References
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6 changes: 3 additions & 3 deletions src/craigmr.jl
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Expand Up @@ -87,13 +87,13 @@ and `false` otherwise.
#### Input arguments
* `A`: a linear operator that models a matrix of dimension n × m.
* `A`: a linear operator that models a matrix of dimension n × m;
* `b`: a vector of length n.
#### Output arguments
* `x`: a dense vector of length m.
* `y`: a dense vector of length n.
* `x`: a dense vector of length m;
* `y`: a dense vector of length n;
* `stats`: statistics collected on the run in a [`SimpleStats`](@ref) structure.
#### References
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4 changes: 2 additions & 2 deletions src/crls.jl
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Expand Up @@ -50,12 +50,12 @@ and `false` otherwise.
#### Input arguments
* `A`: a linear operator that models a matrix of dimension n × m.
* `A`: a linear operator that models a matrix of dimension n × m;
* `b`: a vector of length n.
#### Output arguments
* `x`: a dense vector of length m.
* `x`: a dense vector of length m;
* `stats`: statistics collected on the run in a [`SimpleStats`](@ref) structure.
#### Reference
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4 changes: 2 additions & 2 deletions src/crmr.jl
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Expand Up @@ -65,12 +65,12 @@ and `false` otherwise.
#### Input arguments
* `A`: a linear operator that models a matrix of dimension n × m.
* `A`: a linear operator that models a matrix of dimension n × m;
* `b`: a vector of length n.
#### Output arguments
* `x`: a dense vector of length m.
* `x`: a dense vector of length m;
* `stats`: statistics collected on the run in a [`SimpleStats`](@ref) structure.
#### References
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4 changes: 2 additions & 2 deletions src/diom.jl
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Expand Up @@ -45,12 +45,12 @@ and `false` otherwise.
#### Input arguments
* `A`: a linear operator that models a matrix of dimension n.
* `A`: a linear operator that models a matrix of dimension n;
* `b`: a vector of length n.
#### Output arguments
* `x`: a dense vector of length n.
* `x`: a dense vector of length n;
* `stats`: statistics collected on the run in a [`SimpleStats`](@ref) structure.
#### Reference
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4 changes: 2 additions & 2 deletions src/dqgmres.jl
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Expand Up @@ -45,12 +45,12 @@ and `false` otherwise.
#### Input arguments
* `A`: a linear operator that models a matrix of dimension n.
* `A`: a linear operator that models a matrix of dimension n;
* `b`: a vector of length n.
#### Output arguments
* `x`: a dense vector of length n.
* `x`: a dense vector of length n;
* `stats`: statistics collected on the run in a [`SimpleStats`](@ref) structure.
#### Reference
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4 changes: 2 additions & 2 deletions src/fgmres.jl
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Expand Up @@ -48,12 +48,12 @@ and `false` otherwise.
#### Input arguments
* `A`: a linear operator that models a matrix of dimension n.
* `A`: a linear operator that models a matrix of dimension n;
* `b`: a vector of length n.
#### Output arguments
* `x`: a dense vector of length n.
* `x`: a dense vector of length n;
* `stats`: statistics collected on the run in a [`SimpleStats`](@ref) structure.
#### Reference
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4 changes: 2 additions & 2 deletions src/fom.jl
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Expand Up @@ -42,12 +42,12 @@ and `false` otherwise.
#### Input arguments
* `A`: a linear operator that models a matrix of dimension n.
* `A`: a linear operator that models a matrix of dimension n;
* `b`: a vector of length n.
#### Output arguments
* `x`: a dense vector of length n.
* `x`: a dense vector of length n;
* `stats`: statistics collected on the run in a [`SimpleStats`](@ref) structure.
#### Reference
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4 changes: 2 additions & 2 deletions src/gmres.jl
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Expand Up @@ -42,12 +42,12 @@ and `false` otherwise.
#### Input arguments
* `A`: a linear operator that models a matrix of dimension n.
* `A`: a linear operator that models a matrix of dimension n;
* `b`: a vector of length n.
#### Output arguments
* `x`: a dense vector of length n.
* `x`: a dense vector of length n;
* `stats`: statistics collected on the run in a [`SimpleStats`](@ref) structure.
#### Reference
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10 changes: 5 additions & 5 deletions src/gpmr.jl
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Expand Up @@ -69,15 +69,15 @@ and `false` otherwise.
#### Input arguments
* `A`: a linear operator that models a matrix of dimension n × m.
* `B`: a linear operator that models a matrix of dimension m × n.
* `b`: a vector of length n.
* `A`: a linear operator that models a matrix of dimension n × m;
* `B`: a linear operator that models a matrix of dimension m × n;
* `b`: a vector of length n;
* `c`: a vector of length m.
#### Output arguments
* `x`: a dense vector of length n.
* `y`: a dense vector of length m.
* `x`: a dense vector of length n;
* `y`: a dense vector of length m;
* `stats`: statistics collected on the run in a [`SimpleStats`](@ref) structure.
#### Reference
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