BEAST
The basis functions defined in BEAST.jl can be sorted into trees.
TwoNTree
For TwoNTree
s this can, for example, be done like this for the Galerkin case
using BEAST, CompScienceMeshes
using H2Trees
m = meshsphere(1.0, 0.1)
X = raviartthomas(m)
tree = TwoNTree(X, 0.1)
TwoNTree{3, BoxData{3, Float64}, Float64}
level: 1 with 1 node(s) with on average 4821.0 points and 8.0 children and halfsize: 1.6
- level: 2 with 8 node(s) with on average 602.62 points and 4.0 children and halfsize: 0.8
-- level: 3 with 32 node(s) with on average 150.66 points and 3.56 children and halfsize: 0.4
--- level: 4 with 114 node(s) with on average 42.29 points and 3.49 children and halfsize: 0.2
---- level: 5 with 398 node(s) with on average 12.11 points and 0.0 children and halfsize: 0.1
and for the Petrov-Galerkin case
using BEAST, CompScienceMeshes
using H2Trees
using PlotlyJS
m = meshsphere(1.0, 0.1)
X = raviartthomas(m)
Y = buffachristiansen(m)
tree = TwoNTree(X, Y, 0.1)
BlockTree{TwoNTree{3, BoxData{3, Float64}, Float64}}(TwoNTree{3, BoxData{3, Float64}, Float64}
level: 1 with 1 node(s) with on average 4821.0 points and 8.0 children and halfsize: 1.6
- level: 2 with 8 node(s) with on average 602.62 points and 4.0 children and halfsize: 0.8
-- level: 3 with 32 node(s) with on average 150.66 points and 3.56 children and halfsize: 0.4
--- level: 4 with 114 node(s) with on average 42.29 points and 3.49 children and halfsize: 0.2
---- level: 5 with 398 node(s) with on average 12.11 points and 0.0 children and halfsize: 0.1
, TwoNTree{3, BoxData{3, Float64}, Float64}
level: 1 with 1 node(s) with on average 4821.0 points and 8.0 children and halfsize: 1.6
- level: 2 with 8 node(s) with on average 602.62 points and 4.0 children and halfsize: 0.8
-- level: 3 with 32 node(s) with on average 150.66 points and 3.59 children and halfsize: 0.4
--- level: 4 with 115 node(s) with on average 41.92 points and 3.48 children and halfsize: 0.2
---- level: 5 with 400 node(s) with on average 12.05 points and 0.0 children and halfsize: 0.1
)
QuadPointsTree
Similarly QuadPointsTree
s can be constructed for BEAST.jl spaces for the Galerkin case
using BEAST, CompScienceMeshes
using H2Trees
m = meshsphere(1.0, 0.1)
X = raviartthomas(m)
tree = QuadPointsTree(X, 0.1)
QuadPointsTree{TwoNTree{3, BoxData{3, Float64}, Float64}}
level: 1 with 1 node(s) with on average 10182.0 points and 8.0 children and halfsize: 1.6
- level: 2 with 8 node(s) with on average 1272.75 points and 4.0 children and halfsize: 0.8
-- level: 3 with 32 node(s) with on average 318.19 points and 4.0 children and halfsize: 0.4
--- level: 4 with 128 node(s) with on average 79.55 points and 3.25 children and halfsize: 0.2
---- level: 5 with 416 node(s) with on average 24.48 points and 0.0 children and halfsize: 0.1
and for the Petrov-Galerkin case
using BEAST, CompScienceMeshes
using H2Trees
using PlotlyJS
m = meshsphere(1.0, 0.1)
X = raviartthomas(m)
Y = buffachristiansen(m)
tree = QuadPointsTree(X, Y, 0.1)
BlockTree{QuadPointsTree{TwoNTree{3, BoxData{3, Float64}, Float64}}}(QuadPointsTree{TwoNTree{3, BoxData{3, Float64}, Float64}}
level: 1 with 1 node(s) with on average 10182.0 points and 8.0 children and halfsize: 1.6
- level: 2 with 8 node(s) with on average 1272.75 points and 4.0 children and halfsize: 0.8
-- level: 3 with 32 node(s) with on average 318.19 points and 4.0 children and halfsize: 0.4
--- level: 4 with 128 node(s) with on average 79.55 points and 3.25 children and halfsize: 0.2
---- level: 5 with 416 node(s) with on average 24.48 points and 0.0 children and halfsize: 0.1
, QuadPointsTree{TwoNTree{3, BoxData{3, Float64}, Float64}}
level: 1 with 1 node(s) with on average 15463.0 points and 8.0 children and halfsize: 1.6
- level: 2 with 8 node(s) with on average 1932.88 points and 4.0 children and halfsize: 0.8
-- level: 3 with 32 node(s) with on average 483.22 points and 4.0 children and halfsize: 0.4
--- level: 4 with 128 node(s) with on average 120.8 points and 3.25 children and halfsize: 0.2
---- level: 5 with 416 node(s) with on average 37.17 points and 0.0 children and halfsize: 0.1
)