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Author SHA1 Message Date
56aed88416
use MKLDirect for G₂ 2023-04-06 16:16:27 +02:00
58f0ccb141
use IntervalMatrices
IntervalMatrices use Rump algorithm to matrix multiplication
This brings time to Qint'*Qint down to ~40s which is
5-8 × slower than Q'*Q (for size n=2^13).

The naive version is ~100 × slower than Q'*Q even for n = 2^10.
2023-04-06 13:17:52 +02:00
17274f895f
set eps_*_inf for COSMO solver 2023-04-06 11:40:49 +02:00
f0986982ce
reorganize Roots module 2023-04-06 11:39:54 +02:00
8 changed files with 180 additions and 238 deletions

View File

@ -2,7 +2,7 @@
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[[deps.AbstractAlgebra]]
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@ -34,20 +17,9 @@ version = "1.1.1"
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@ -113,48 +85,22 @@ deps = ["Artifacts", "Libdl"]
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@ -187,11 +133,6 @@ git-tree-sha1 = "d6863c556f1142a061532e79f611aa46be201686"
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@ -201,27 +142,17 @@ version = "0.3.1"
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@ -229,11 +160,6 @@ git-tree-sha1 = "9e1a5e9f3b81ad6a5c613d181664a0efc6fe6dd7"
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[[deps.InitialValues]]
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@ -249,6 +175,12 @@ git-tree-sha1 = "c1c88395d09366dae431556bcb598ad08fa1392b"
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[[deps.IntervalMatrices]]
deps = ["IntervalArithmetic", "LinearAlgebra", "Random", "Reexport", "SparseArrays"]
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@ -260,11 +192,6 @@ git-tree-sha1 = "630b497eafcc20001bba38a4651b327dcfc491d2"
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@ -279,9 +206,9 @@ version = "0.21.3"
[[deps.JuMP]]
deps = ["LinearAlgebra", "MathOptInterface", "MutableArithmetics", "OrderedCollections", "Printf", "SnoopPrecompile", "SparseArrays"]
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@ -341,9 +268,9 @@ uuid = "d6f4376e-aef5-505a-96c1-9c027394607a"
[[deps.MathOptInterface]]
deps = ["BenchmarkTools", "CodecBzip2", "CodecZlib", "DataStructures", "ForwardDiff", "JSON", "LinearAlgebra", "MutableArithmetics", "NaNMath", "OrderedCollections", "Printf", "SnoopPrecompile", "SparseArrays", "SpecialFunctions", "Test", "Unicode"]
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deps = ["Artifacts", "Libdl"]
@ -356,12 +283,6 @@ git-tree-sha1 = "2b1dfcba103de714d31c033b5dacc2e4a12c7caa"
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[[deps.Mmap]]
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@ -402,9 +323,9 @@ uuid = "efe28fd5-8261-553b-a9e1-b2916fc3738e"
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[[deps.OrderedCollections]]
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@ -469,17 +390,10 @@ git-tree-sha1 = "261dddd3b862bd2c940cf6ca4d1c8fe593e457c8"
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@ -498,12 +412,6 @@ git-tree-sha1 = "d7a25e439d07a17b7cdf97eecee504c50fedf5f6"
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@ -523,12 +431,6 @@ git-tree-sha1 = "ef28127915f4229c971eb43f3fc075dd3fe91880"
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[[deps.StarAlgebras]]
deps = ["LinearAlgebra", "SparseArrays"]
git-tree-sha1 = "265b89a5dfb38fe94ad48b997a253b2393fce6f1"
@ -537,9 +439,9 @@ version = "0.2.0"
[[deps.StaticArrays]]
deps = ["LinearAlgebra", "Random", "StaticArraysCore", "Statistics"]
git-tree-sha1 = "6aa098ef1012364f2ede6b17bf358c7f1fbe90d4"
git-tree-sha1 = "b8d897fe7fa688e93aef573711cb207c08c9e11e"
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version = "1.5.19"
[[deps.StaticArraysCore]]
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@ -552,7 +454,7 @@ uuid = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
[[deps.SymbolicWedderburn]]
deps = ["Cyclotomics", "GroupsCore", "LinearAlgebra", "PermutationGroups", "Primes", "SparseArrays", "StarAlgebras"]
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git-tree-sha1 = "7afdc5576b8fc49032c1f765c1514e5369fb77fe"
repo-rev = "enh/towards_simple_projections"
repo-url = "https://github.com/kalmarek/SymbolicWedderburn.jl.git"
uuid = "858aa9a9-4c7c-4c62-b466-2421203962a2"
@ -563,18 +465,6 @@ deps = ["Dates"]
uuid = "fa267f1f-6049-4f14-aa54-33bafae1ed76"
version = "1.0.0"
[[deps.TableTraits]]
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@ -584,24 +474,12 @@ version = "1.10.1"
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[[deps.ThreadedScans]]
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deps = ["Random", "SHA"]
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@ -614,12 +492,6 @@ deps = ["Libdl"]
uuid = "83775a58-1f1d-513f-b197-d71354ab007a"
version = "1.2.12+3"
[[deps.ZygoteRules]]
deps = ["MacroTools"]
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deps = ["Artifacts", "Libdl", "OpenBLAS_jll"]
uuid = "8e850b90-86db-534c-a0d3-1478176c7d93"

View File

@ -6,6 +6,7 @@ version = "0.4.0"
[deps]
Groups = "5d8bd718-bd84-11e8-3b40-ad14f4a32557"
IntervalArithmetic = "d1acc4aa-44c8-5952-acd4-ba5d80a2a253"
IntervalMatrices = "5c1f47dc-42dd-5697-8aaa-4d102d140ba9"
JuMP = "4076af6c-e467-56ae-b986-b466b2749572"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
ProgressMeter = "92933f4c-e287-5a05-a399-4b506db050ca"
@ -17,6 +18,7 @@ SymbolicWedderburn = "858aa9a9-4c7c-4c62-b466-2421203962a2"
COSMO = "0.8"
Groups = "0.7"
IntervalArithmetic = "0.20"
IntervalMatrices = "0.8"
JuMP = "1.3"
ProgressMeter = "1.7"
SCS = "1.1"

View File

@ -1,6 +1,6 @@
using LinearAlgebra
BLAS.set_num_threads(8)
using MKL_jll
ENV["OMP_NUM_THREADS"] = 4
using Groups
@ -84,16 +84,59 @@ unit = Δ
warm = nothing
solve_in_loop(
let status = JuMP.OPTIMIZE_NOT_CALLED, warm = warm, eps = 1e-9
certified, λ = false, 0.0
while status JuMP.OPTIMAL
@time status, warm = PropertyT.solve(
model,
wd,
varP;
logdir = "./log/G2/r=$HALFRADIUS/Adj-InfΔ",
optimizer = scs_optimizer(;
eps = 1e-10,
max_iters = 50_000,
scs_optimizer(;
linear_solver = SCS.MKLDirectSolver,
eps = eps,
max_iters = 100_000,
accel = 50,
alpha = 1.95,
),
data = (elt = elt, unit = unit, halfradius = HALFRADIUS),
warm,
)
@info "reconstructing the solution"
Q = @time let wd = wd, Ps = [JuMP.value.(P) for P in varP], eps = eps
PropertyT.__droptol!.(Ps, 100eps)
Qs = real.(sqrt.(Ps))
PropertyT.__droptol!.(Qs, eps)
PropertyT.reconstruct(Qs, wd)
end
@info "certifying the solution"
@time certified, λ = PropertyT.certify_solution(
elt,
unit,
JuMP.objective_value(model),
Q;
halfradius = HALFRADIUS,
augmented = true,
)
end
if certified && λ > 0
Κ(λ, S) = round(sqrt(2λ / length(S)), Base.RoundDown; digits = 5)
@info "Certified result: $G has property (T):" N λ Κ(λ, S)
else
@info "Could NOT certify the result:" certified λ
end
end
# solve_in_loop(
# model,
# wd,
# varP;
# logdir = "./log/G2/r=$HALFRADIUS/Adj-InfΔ",
# optimizer = scs_optimizer(;
# eps = 1e-10,
# max_iters = 50_000,
# accel = 50,
# alpha = 1.95,
# ),
# data = (elt = elt, unit = unit, halfradius = HALFRADIUS),
# )

View File

@ -3,7 +3,6 @@ module PropertyT
using LinearAlgebra
using SparseArrays
using IntervalArithmetic
using JuMP
using Groups

View File

@ -1,3 +1,6 @@
import IntervalArithmetic
import IntervalMatrices
function augment_columns!(Q::AbstractMatrix)
for c in eachcol(Q)
c .-= sum(c) ./ length(c)
@ -63,7 +66,7 @@ function sufficient_λ(residual::StarAlgebras.AlgebraElement, λ; halfradius)
suff_λ = λ - 2.0^(2ceil(log2(halfradius))) * L1_norm
eq_sign = let T = eltype(residual)
if T <: Interval
if T <: IntervalArithmetic.Interval
""
elseif T <: Union{Rational,Integer}
"="
@ -119,8 +122,10 @@ function certify_solution(
return false, λ_flpoint
end
λ_int = @interval(λ)
Q_int = [@interval(q) for q in Q]
λ_int = IntervalArithmetic.@interval(λ)
Q_int = IntervalMatrices.IntervalMatrix([
IntervalArithmetic.@interval(q) for q in Q
])
check, sos_int = @time if should_we_augment
@info("Projecting columns of Q to the augmentation ideal...")
@ -141,5 +146,5 @@ function certify_solution(
λ_certified =
sufficient_λ(elt, orderunit, λ_int, sos_int; halfradius = halfradius)
return check && inf(λ_certified) > 0.0, λ_certified
return check && IntervalArithmetic.inf(λ_certified) > 0.0, λ_certified
end

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@ -7,73 +7,48 @@ export Root, isproportional, isorthogonal, ~, ⟂
abstract type AbstractRoot{N,T} end
struct Root{N,T} <: AbstractRoot{N,T}
coord::SVector{N,T}
end
Root(a) = Root(SVector(a...))
function Base.:(==)(r::Root{N}, s::Root{M}) where {M,N}
M == N || return false
r.coord == s.coord || return false
return true
end
Base.hash(r::Root, h::UInt) = hash(r.coord, hash(Root, h))
Base.:+(r::Root{N,T}, s::Root{N,T}) where {N,T} = Root{N,T}(r.coord + s.coord)
Base.:-(r::Root{N,T}, s::Root{N,T}) where {N,T} = Root{N,T}(r.coord - s.coord)
Base.:-(r::Root{N}) where {N} = Root(-r.coord)
Base.:*(a::Number, r::Root) = Root(a * r.coord)
Base.:*(r::Root, a::Number) = a * r
Base.length(r::AbstractRoot) = norm(r, 2)
LinearAlgebra.norm(r::Root, p::Real = 2) = norm(r.coord, p)
LinearAlgebra.dot(r::Root, s::Root) = dot(r.coord, s.coord)
₂length(r::AbstractRoot) = norm(r, 2)
ambient_dim(r::AbstractRoot) = length(r)
Base.:*(r::AbstractRoot, a::Number) = a * r
cos_angle(a, b) = dot(a, b) / (norm(a) * norm(b))
function isproportional(α::AbstractRoot{N}, β::AbstractRoot{M}) where {N,M}
N == M || return false
function isproportional(α::AbstractRoot, β::AbstractRoot)
ambient_dim(α) == ambient_dim(β) || return false
val = abs(cos_angle(α, β))
return isapprox(val, one(val); atol = eps(one(val)))
end
function isorthogonal(α::AbstractRoot{N}, β::AbstractRoot{M}) where {N,M}
N == M || return false
function isorthogonal(α::AbstractRoot, β::AbstractRoot)
ambient_dim(α) == ambient_dim(β) || return false
val = cos_angle(α, β)
return isapprox(val, zero(val); atol = eps(one(val)))
end
function _positive_direction(α::Root{N}) where {N}
v = α.coord + 1 / (N * 100) * rand(N)
return Root{N,Float64}(v / norm(v, 2))
end
function positive(roots::AbstractVector{<:Root{N}}) where {N}
function positive(roots::AbstractVector{<:AbstractRoot})
isempty(roots) && return empty(roots)
pd = _positive_direction(first(roots))
return filter(α -> dot(α, pd) > 0.0, roots)
end
function Base.show(io::IO, r::Root)
function Base.show(io::IO, r::AbstractRoot)
return print(io, "Root $(r.coord)")
end
function Base.show(io::IO, ::MIME"text/plain", r::Root{N}) where {N}
lngth² = sum(x -> x^2, r.coord)
l = isinteger(sqrt(lngth²)) ? "$(sqrt(lngth²))" : "$(lngth²)"
function Base.show(io::IO, ::MIME"text/plain", r::AbstractRoot)
l₂l = ₂length(r)
l = isinteger(l₂l) ? "$(l₂l)" : "$(l₂l^2)"
return print(io, "Root in ^$N of length $l\n", r.coord)
end
𝕖(N, i) = Root(ntuple(k -> k == i ? 1 : 0, N))
𝕆(N, ::Type{T}) where {T} = Root(ntuple(_ -> zero(T), N))
reflection(α::Root, β::Root) = β - Int(2dot(α, β) / dot(α, α)) * α
function cartan(α, β)
function reflection(α::AbstractRoot, β::AbstractRoot)
return β - Int(2dot(α, β) // dot(α, α)) * α
end
function cartan(α::AbstractRoot, β::AbstractRoot)
ambient_dim(α) == ambient_dim(β) || throw("incompatible ambient dimensions")
return [
length(reflection(a, b) - b) / length(a) for a in (α, β), b in (α, β)
₂length(reflection(a, b) - b) / ₂length(a) for a in (α, β),
b in (α, β)
]
end
@ -124,7 +99,10 @@ function classify_root_system(
end
end
function proportional_root_from_system(Ω::AbstractVector{<:Root}, α::Root)
function proportional_root_from_system(
Ω::AbstractVector{<:AbstractRoot},
α::AbstractRoot,
)
k = findfirst(v -> isproportional(α, v), Ω)
if isnothing(k)
error("Line L_α not contained in root system Ω:\n α = $α\n Ω = ")
@ -132,31 +110,31 @@ function proportional_root_from_system(Ω::AbstractVector{<:Root}, α::Root)
return Ω[k]
end
struct Plane{R<:Root}
struct Plane{R<:AbstractRoot}
v1::R
v2::R
vectors::Vector{R}
end
function Plane(α::Root, β::Root)
function Plane(α::AbstractRoot, β::AbstractRoot)
return Plane(α, β, [a * α + b * β for a in -3:3 for b in -3:3])
end
function Base.in(r::Root, plane::Plane)
function Base.in(r::AbstractRoot, plane::Plane)
return any(isproportional(r, v) for v in plane.vectors)
end
function _islong(α::Root, Ω)
lα = length(α)
return any(r -> lα - length(r) > eps(lα), Ω)
function _islong(α::AbstractRoot, Ω)
lα = ℓ₂length(α)
return any(r -> lα - ℓ₂length(r) > eps(lα), Ω)
end
function classify_sub_root_system(
Ω::AbstractVector{<:Root{N}},
α::Root{N},
β::Root{N},
Ω::AbstractVector{<:AbstractRoot{N}},
α::AbstractRoot{N},
β::AbstractRoot{N},
) where {N}
@assert 1 length(unique(length, Ω)) 2
@assert 1 length(unique(ℓ₂length, Ω)) 2
v = proportional_root_from_system(Ω, α)
w = proportional_root_from_system(Ω, β)
@ -197,4 +175,45 @@ function classify_sub_root_system(
throw("Unknown root system: $subsystem")
end
## concrete implementation:
struct Root{N,T} <: AbstractRoot{N,T}
coord::SVector{N,T}
end
Root(a) = Root(SVector(a...))
# convienience constructors
𝕖(N, i) = Root(ntuple(k -> k == i ? 1 : 0, N))
𝕆(N, ::Type{T}) where {T} = Root(ntuple(_ -> zero(T), N))
function Base.:(==)(r::Root{N}, s::Root{M}) where {M,N}
M == N || return false
r.coord == s.coord || return false
return true
end
Base.hash(r::Root, h::UInt) = hash(r.coord, hash(Root, h))
function Base.:+(r::Root, s::Root)
ambient_dim(r) == ambient_dim(s) || throw("incompatible ambient dimensions")
return Root(r.coord + s.coord)
end
function Base.:-(r::Root, s::Root)
ambient_dim(r) == ambient_dim(s) || throw("incompatible ambient dimensions")
return Root(r.coord - s.coord)
end
Base.:-(r::Root) = Root(-r.coord)
Base.:*(a::Number, r::Root) = Root(a * r.coord)
Base.length(r::Root) = length(r.coord)
LinearAlgebra.norm(r::Root, p::Real = 2) = norm(r.coord, p)
LinearAlgebra.dot(r::Root, s::Root) = dot(r.coord, s.coord)
function _positive_direction(α::Root{N}) where {N}
v = α.coord + 1 / (N * 100) * rand(N)
return Root{N,Float64}(v / norm(v, 2))
end
end # of module Roots

View File

@ -22,7 +22,7 @@ end
@testset "Exceptional root systems" begin
@testset "F4" begin
F4 = let Σ = PermutationGroups.PermGroup(perm"(1,2,3,4)", perm"(1,2)")
long = let x = (1.0, 1.0, 0.0, 0.0)
long = let x = (1, 1, 0, 0) .// 1
PropertyT.Roots.Root.(
union(
(x^g for g in Σ),
@ -32,14 +32,14 @@ end
)
end
short = let x = (1.0, 0.0, 0.0, 0.0)
short = let x = (1, 0, 0, 0) .// 1
PropertyT.Roots.Root.(
union((x^g for g in Σ), ((-1 .* x)^g for g in Σ))
)
end
signs = collect(Iterators.product(fill([-1, +1], 4)...))
halfs = let x = 1 / 2 .* (1.0, 1.0, 1.0, 1.0)
halfs = let x = (1, 1, 1, 1) .// 2
PropertyT.Roots.Root.(union(x .* sgn for sgn in signs))
end
@ -49,15 +49,15 @@ end
@test length(F4) == 48
a = F4[1]
@test isapprox(length(a), sqrt(2))
@test isapprox(PropertyT.Roots.ℓ₂length(a), sqrt(2))
b = F4[6]
@test isapprox(length(b), sqrt(2))
@test isapprox(PropertyT.Roots.ℓ₂length(b), sqrt(2))
c = a + b
@test isapprox(length(c), 2.0)
@test isapprox(PropertyT.Roots.ℓ₂length(c), 2.0)
@test PropertyT.Roots.classify_root_system(b, c, (false, true)) == :C₂
long = F4[findfirst(r -> length(r) == sqrt(2), F4)]
short = F4[findfirst(r -> length(r) == 1.0, F4)]
long = F4[findfirst(r -> PropertyT.Roots.ℓ₂length(r) == sqrt(2), F4)]
short = F4[findfirst(r -> PropertyT.Roots.ℓ₂length(r) == 1.0, F4)]
subtypes = Set([:C₂, :A₂, Symbol("A₁×C₁")])
@ -94,7 +94,7 @@ end
perm"(1,2,3,4,5,6,7,8)",
perm"(1,2)",
)
long = let x = (1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0)
long = let x = (1, 1, 0, 0, 0, 0, 0, 0) .// 1
PropertyT.Roots.Root.(
union(
(x^g for g in Σ),
@ -108,7 +108,7 @@ end
p for p in Iterators.product(fill([-1, +1], 8)...) if
iseven(count(==(-1), p))
)
halfs = let x = 1 / 2 .* ntuple(i -> 1.0, 8)
halfs = let x = (1, 1, 1, 1, 1, 1, 1, 1) .// 2
rts = unique(PropertyT.Roots.Root(x .* sgn) for sgn in signs)
end
@ -119,7 +119,7 @@ end
@testset "E8" begin
@test length(E8) == 240
@test all(r -> length(r) sqrt(2), E8)
@test all(r -> PropertyT.Roots.ℓ₂length(r) sqrt(2), E8)
let Ω = E8, α = first(Ω)
counts = countmap([

View File

@ -44,6 +44,8 @@ function cosmo_optimizer(;
"decompose" => decompose,
"eps_abs" => eps,
"eps_rel" => eps,
"eps_prim_inf" => eps,
"eps_dual_inf" => eps,
"max_iter" => max_iters,
"verbose" => verbose,
"verbose_timing" => verbose_timing,