ProbNumDiffEq.jl vs. various solver packages
Adapted from SciMLBenchmarks.jl multi-language wrapper benchmark.
Code:
# Imports
using LinearAlgebra, Statistics
using StaticArrays, DiffEqDevTools, ParameterizedFunctions, Plots, SciMLBase, OrdinaryDiffEq
using ODEInterface, ODEInterfaceDiffEq, Sundials, SciPyDiffEq, deSolveDiffEq, MATLABDiffEq, LSODA
using LoggingExtras
using ProbNumDiffEq
Plots.theme(
:dao;
markerstrokewidth=0.5,
legend=:outertopright,
margin=5Plots.mm,
xticks=10.0 .^ (-16:1:16),
yticks=10.0 .^ (-6:1:5),
)
# Constants used throughout this benchmark as we only consider final values
const DENSE = false # used to decide if we smooth or not
const SAVE_EVERYSTEP = false;
# COLORS and a realted utility
COLORS = Dict(
"Julia" => :LightGreen,
"Julia (static)" => :DarkGreen,
"Hairer" => :Red,
"MATLAB" => :Orange,
"SciPy" => :Yellow,
"deSolve" => :Blue,
"Sundials" => :Purple,
"liblsoda" => :Purple,
"ProbNumDiffEq: EK0" => :Gray30,
"ProbNumDiffEq: EK1" => :Gray60,
)
tocolor(n) = if split(n, '(')[1] in keys(COLORS)
COLORS[split(n, '(')[1]]
else
COLORS[split(n, ':')[1]]
end
# Do not show "deprecated warnings"
deprecated_filter(log_args) = !contains(log_args.message, "deprecated")
filtered_logger = ActiveFilteredLogger(deprecated_filter, global_logger());
Non-Stiff Problem 1: Lotka-Volterra
Code:
f = @ode_def LotkaVolterra begin
dx = a*x - b*x*y
dy = -c*y + d*x*y
end a b c d
p = [1.5, 1, 3, 1]
tspan = (0.0, 10.0)
u0 = [1.0, 1.0]
prob = ODEProblem{true,SciMLBase.FullSpecialize()}(f,u0,tspan,p)
staticprob = ODEProblem{false,SciMLBase.FullSpecialize()}(f,SVector{2}(u0),tspan,SVector{4}(p))
sol = solve(prob,Vern7(),abstol=1/10^14,reltol=1/10^14,dense=false)
test_sol = sol
plot(sol, title="Lotka-Volterra Solution", legend=false, xticks=:auto, yticks=:auto)
Code:
_setups = [
"Julia: DP5" => Dict(:alg=>DP5())
"Julia: Tsit5" => Dict(:alg=>Tsit5())
"Julia: Vern7" => Dict(:alg=>Vern7())
"Hairer: dopri5" => Dict(:alg=>ODEInterfaceDiffEq.dopri5())
"MATLAB: ode45" => Dict(:alg=>MATLABDiffEq.ode45())
"MATLAB: ode113" => Dict(:alg=>MATLABDiffEq.ode113())
"SciPy: RK45" => Dict(:alg=>SciPyDiffEq.RK45())
"SciPy: LSODA" => Dict(:alg=>SciPyDiffEq.LSODA())
"SciPy: odeint" => Dict(:alg=>SciPyDiffEq.odeint())
"deSolve: lsoda" => Dict(:alg=>deSolveDiffEq.lsoda())
"deSolve: ode45" => Dict(:alg=>deSolveDiffEq.ode45())
"Sundials: Adams" => Dict(:alg=>Sundials.CVODE_Adams())
"ProbNumDiffEq: EK0(3)" => Dict(:alg=>EK0(order=3, smooth=DENSE))
"ProbNumDiffEq: EK0(5)" => Dict(:alg=>EK0(order=5, smooth=DENSE))
"ProbNumDiffEq: EK1(3)" => Dict(:alg=>EK1(order=3, smooth=DENSE))
"ProbNumDiffEq: EK1(5)" => Dict(:alg=>EK1(order=5, smooth=DENSE))
"ProbNumDiffEq: EK1(8)" => Dict(:alg=>EK1(order=8, smooth=DENSE))
]
labels = first.(_setups)
setups = last.(_setups)
colors = tocolor.(labels) |> permutedims
abstols = 1.0 ./ 10.0 .^ (6:13)
reltols = 1.0 ./ 10.0 .^ (3:10)
wp = with_logger(filtered_logger) do
WorkPrecisionSet(
[prob, staticprob], abstols, reltols, setups;
names = labels,
appxsol = [test_sol, test_sol],
dense = DENSE,
save_everystep = SAVE_EVERYSTEP,
numruns = 10,
maxiters = Int(1e7),
timeseries_errors = false,
verbose = false,
)
end
plot(wp, title = "Non-stiff 1: Lotka-Volterra", color = colors)
Non-Stiff Problem 2: Rigid Body
Code:
f = @ode_def RigidBodyBench begin
dy1 = -2*y2*y3
dy2 = 1.25*y1*y3
dy3 = -0.5*y1*y2 + 0.25*sin(t)^2
end
u0 = [1.0;0.0;0.9]
tspan = (0.0, 10.0)
prob = ODEProblem{true,SciMLBase.FullSpecialize()}(f,u0,tspan)
staticprob = ODEProblem{false,SciMLBase.FullSpecialize()}(f,SVector{3}(u0),tspan)
sol = solve(prob,Vern7(),abstol=1/10^14,reltol=1/10^14,dense=false)
test_sol = sol
plot(sol, title="Rigid Body Solution", legend=false, xticks=:auto, yticks=:auto)
Code:
_setups = [
"Julia: DP5" => Dict(:alg=>DP5())
"Julia: Tsit5" => Dict(:alg=>Tsit5())
"Julia: Vern7" => Dict(:alg=>Vern7())
"Hairer: dopri5" => Dict(:alg=>dopri5())
"MATLAB: ode45" => Dict(:alg=>MATLABDiffEq.ode45())
"MATLAB: ode113" => Dict(:alg=>MATLABDiffEq.ode113())
"SciPy: RK45" => Dict(:alg=>SciPyDiffEq.RK45())
"SciPy: LSODA" => Dict(:alg=>SciPyDiffEq.LSODA())
"SciPy: odeint" => Dict(:alg=>SciPyDiffEq.odeint())
"deSolve: lsoda" => Dict(:alg=>deSolveDiffEq.lsoda())
"deSolve: ode45" => Dict(:alg=>deSolveDiffEq.ode45())
"Sundials: Adams" => Dict(:alg=>CVODE_Adams())
"ProbNumDiffEq: EK0(3)" => Dict(:alg=>EK0(order=3, smooth=DENSE))
"ProbNumDiffEq: EK0(5)" => Dict(:alg=>EK0(order=5, smooth=DENSE))
"ProbNumDiffEq: EK1(3)" => Dict(:alg=>EK1(order=3, smooth=DENSE))
"ProbNumDiffEq: EK1(5)" => Dict(:alg=>EK1(order=5, smooth=DENSE))
"ProbNumDiffEq: EK1(8)" => Dict(:alg=>EK1(order=8, smooth=DENSE))
]
labels = first.(_setups)
setups = last.(_setups)
colors = tocolor.(labels) |> permutedims
abstols = 1.0 ./ 10.0 .^ (6:13)
reltols = 1.0 ./ 10.0 .^ (3:10)
wp = with_logger(filtered_logger) do
WorkPrecisionSet(
[prob,staticprob], abstols, reltols, setups;
names = labels,
appxsol = [test_sol, test_sol],
dense = DENSE,
save_everystep = SAVE_EVERYSTEP,
numruns = 10,
maxiters = Int(1e7),
timeseries_errors = false,
verbose = false
)
end
plot(wp, title = "Non-stiff 2: Rigid-Body", color = colors)
Stiff Problem 1: ROBER
Code:
rober = @ode_def begin
dy₁ = -k₁*y₁+k₃*y₂*y₃
dy₂ = k₁*y₁-k₂*y₂^2-k₃*y₂*y₃
dy₃ = k₂*y₂^2
end k₁ k₂ k₃
u0 = [1.0,0.0,0.0]
p = [0.04,3e7,1e4]
prob = ODEProblem{true,SciMLBase.FullSpecialize()}(rober,u0,(0.0,1e5),p)
staticprob = ODEProblem{false,SciMLBase.FullSpecialize()}(rober,SVector{3}(u0),(0.0,1e5),SVector{3}(p))
sol = solve(prob,CVODE_BDF(),abstol=1/10^14,reltol=1/10^14,dense=false)
test_sol = sol
plot(sol, title="ROBER Solution", legend=false, xlims=(1e0, 1e5), xticks=:auto, yticks=:auto)
Code:
_setups = [
"Julia: Rosenbrock23" => Dict(:alg=>Rosenbrock23())
"Julia: Rodas4" => Dict(:alg=>Rodas4())
"Julia: Rodas5" => Dict(:alg=>Rodas5())
"Hairer: rodas" => Dict(:alg=>rodas())
"Hairer: radau" => Dict(:alg=>radau())
"MATLAB: ode23s" => Dict(:alg=>MATLABDiffEq.ode23s())
"MATLAB: ode15s" => Dict(:alg=>MATLABDiffEq.ode15s())
"SciPy: LSODA" => Dict(:alg=>SciPyDiffEq.LSODA())
"SciPy: BDF" => Dict(:alg=>SciPyDiffEq.BDF())
"SciPy: odeint" => Dict(:alg=>SciPyDiffEq.odeint())
"deSolve: lsoda" => Dict(:alg=>deSolveDiffEq.lsoda())
"Sundials: CVODE" => Dict(:alg=>CVODE_BDF())
"ProbNumDiffEq: EK1(3)" => Dict(:alg=>EK1(order=3, smooth=DENSE))
"ProbNumDiffEq: EK1(5)" => Dict(:alg=>EK1(order=5, smooth=DENSE))
]
labels = first.(_setups)
setups = last.(_setups)
colors = tocolor.(labels) |> permutedims
abstols = 1.0 ./ 10.0 .^ (5:12)
reltols = 1.0 ./ 10.0 .^ (2:9)
wp = with_logger(filtered_logger) do
WorkPrecisionSet(
[prob, staticprob], abstols, reltols, setups;
names = labels,
dense = DENSE,
verbose = false,
save_everystep = SAVE_EVERYSTEP,
appxsol = [test_sol, test_sol],
maxiters=Int(1e5)
)
end
plot(wp, title = "Stiff 1: ROBER", color = colors)
Stiff Problem 2: HIRES
Code:
f = @ode_def Hires begin
dy1 = -1.71*y1 + 0.43*y2 + 8.32*y3 + 0.0007
dy2 = 1.71*y1 - 8.75*y2
dy3 = -10.03*y3 + 0.43*y4 + 0.035*y5
dy4 = 8.32*y2 + 1.71*y3 - 1.12*y4
dy5 = -1.745*y5 + 0.43*y6 + 0.43*y7
dy6 = -280.0*y6*y8 + 0.69*y4 + 1.71*y5 -
0.43*y6 + 0.69*y7
dy7 = 280.0*y6*y8 - 1.81*y7
dy8 = -280.0*y6*y8 + 1.81*y7
end
u0 = zeros(8)
u0[1] = 1
u0[8] = 0.0057
prob = ODEProblem{true,SciMLBase.FullSpecialize()}(f,u0,(0.0,321.8122))
staticprob = ODEProblem{false,SciMLBase.FullSpecialize()}(f,SVector{8}(u0),(0.0,321.8122))
sol = solve(prob,Rodas5(),abstol=1/10^14,reltol=1/10^14, dense=false)
test_sol = sol
plot(sol, title="HIRES Solution", legend=false, xticks=:auto, yticks=:auto)
Code:
_setups = [
"Julia: Rosenbrock23" => Dict(:alg=>Rosenbrock23())
"Julia: Rodas4" => Dict(:alg=>Rodas4())
"Julia: radau" => Dict(:alg=>RadauIIA5())
"Hairer: rodas" => Dict(:alg=>rodas())
"Hairer: radau" => Dict(:alg=>radau())
"MATLAB: ode23s" => Dict(:alg=>MATLABDiffEq.ode23s())
"MATLAB: ode15s" => Dict(:alg=>MATLABDiffEq.ode15s())
"SciPy: LSODA" => Dict(:alg=>SciPyDiffEq.LSODA())
"SciPy: BDF" => Dict(:alg=>SciPyDiffEq.BDF())
"SciPy: odeint" => Dict(:alg=>SciPyDiffEq.odeint())
"deSolve: lsoda" => Dict(:alg=>deSolveDiffEq.lsoda())
"Sundials: CVODE" => Dict(:alg=>CVODE_BDF())
"ProbNumDiffEq: EK1(2)" => Dict(:alg=>EK1(order=2, smooth=DENSE))
"ProbNumDiffEq: EK1(3)" => Dict(:alg=>EK1(order=3, smooth=DENSE))
"ProbNumDiffEq: EK1(5)" => Dict(:alg=>EK1(order=5, smooth=DENSE))
]
labels = first.(_setups)
setups = last.(_setups)
colors = tocolor.(labels) |> permutedims
abstols = 1.0 ./ 10.0 .^ (5:10)
reltols = 1.0 ./ 10.0 .^ (1:6)
wp = with_logger(filtered_logger) do
WorkPrecisionSet(
[prob, staticprob], abstols, reltols, setups;
names = labels,
dense = false,
verbose = false,
save_everystep = false,
appxsol = [test_sol, test_sol],
maxiters = Int(1e5),
numruns=100
)
end
plot(wp, title = "Stiff 2: Hires", color=colors)
Appendix
Computer information:
using InteractiveUtils
InteractiveUtils.versioninfo()
Julia Version 1.10.0
Commit 3120989f39b (2023-12-25 18:01 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: 12 × Intel(R) Core(TM) i7-6800K CPU @ 3.40GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-15.0.7 (ORCJIT, broadwell)
Threads: 17 on 12 virtual cores
Environment:
JULIA_NUM_THREADS = auto
Package information:
using Pkg
Pkg.status()
Status `~/.julia/dev/ProbNumDiffEq/benchmarks/Project.toml`
[f3b72e0c] DiffEqDevTools v2.44.1
[31c24e10] Distributions v0.25.107
[7073ff75] IJulia v1.24.2
[7f56f5a3] LSODA v0.7.5
[e6f89c97] LoggingExtras v1.0.3
[e2752cbe] MATLABDiffEq v1.2.0
⌃ [961ee093] ModelingToolkit v8.73.2
[54ca160b] ODEInterface v0.5.0
[09606e27] ODEInterfaceDiffEq v3.13.3
⌃ [1dea7af3] OrdinaryDiffEq v6.66.0
[65888b18] ParameterizedFunctions v5.16.0
[91a5bcdd] Plots v1.39.0
[bf3e78b0] ProbNumDiffEq v0.14.0 `~/.julia/dev/ProbNumDiffEq`
⌃ [0bca4576] SciMLBase v2.10.0
[505e40e9] SciPyDiffEq v0.2.1
[ce78b400] SimpleUnPack v1.1.0
[90137ffa] StaticArrays v1.9.1
[c3572dad] Sundials v4.23.1
[44d3d7a6] Weave v0.10.12
[0518478a] deSolveDiffEq v0.1.1
Info Packages marked with ⌃ have new versions available and may be upgradable.
Full manifest:
Pkg.status(mode=Pkg.PKGMODE_MANIFEST)
Status `~/.julia/dev/ProbNumDiffEq/benchmarks/Manifest.toml`
[47edcb42] ADTypes v0.2.6
⌅ [c3fe647b] AbstractAlgebra v0.34.7
[621f4979] AbstractFFTs v1.5.0
[1520ce14] AbstractTrees v0.4.4
[7d9f7c33] Accessors v0.1.35
⌅ [79e6a3ab] Adapt v3.7.2
[ec485272] ArnoldiMethod v0.2.0
[c9d4266f] ArrayAllocators v0.3.0
[4fba245c] ArrayInterface v7.7.0
[4c555306] ArrayLayouts v1.5.2
[6e4b80f9] BenchmarkTools v1.4.0
[e2ed5e7c] Bijections v0.1.6
[d1d4a3ce] BitFlags v0.1.8
[62783981] BitTwiddlingConvenienceFunctions v0.1.5
[fa961155] CEnum v0.5.0
[2a0fbf3d] CPUSummary v0.2.4
[00ebfdb7] CSTParser v3.4.0
[49dc2e85] Calculus v0.5.1
[324d7699] CategoricalArrays v0.10.8
[d360d2e6] ChainRulesCore v1.19.1
[fb6a15b2] CloseOpenIntervals v0.1.12
[944b1d66] CodecZlib v0.7.3
[35d6a980] ColorSchemes v3.24.0
[3da002f7] ColorTypes v0.11.4
[c3611d14] ColorVectorSpace v0.10.0
[5ae59095] Colors v0.12.10
[861a8166] Combinatorics v1.0.2
[a80b9123] CommonMark v0.8.12
[38540f10] CommonSolve v0.2.4
[bbf7d656] CommonSubexpressions v0.3.0
[34da2185] Compat v4.12.0
[b152e2b5] CompositeTypes v0.1.3
[a33af91c] CompositionsBase v0.1.2
[2569d6c7] ConcreteStructs v0.2.3
[f0e56b4a] ConcurrentUtilities v2.3.0
[8f4d0f93] Conda v1.10.0
[187b0558] ConstructionBase v1.5.4
[d38c429a] Contour v0.6.2
[587fd27a] CovarianceEstimation v0.2.12
[adafc99b] CpuId v0.3.1
[a8cc5b0e] Crayons v4.1.1
[717857b8] DSP v0.7.9
[9a962f9c] DataAPI v1.15.0
[a93c6f00] DataFrames v1.6.1
[864edb3b] DataStructures v0.18.16
[e2d170a0] DataValueInterfaces v1.0.0
[8bb1440f] DelimitedFiles v1.9.1
⌃ [2b5f629d] DiffEqBase v6.145.2
[459566f4] DiffEqCallbacks v2.36.1
[f3b72e0c] DiffEqDevTools v2.44.1
[77a26b50] DiffEqNoiseProcess v5.20.0
[163ba53b] DiffResults v1.1.0
[b552c78f] DiffRules v1.15.1
[b4f34e82] Distances v0.10.11
[31c24e10] Distributions v0.25.107
[ffbed154] DocStringExtensions v0.9.3
⌅ [5b8099bc] DomainSets v0.6.7
[fa6b7ba4] DualNumbers v0.6.8
[7c1d4256] DynamicPolynomials v0.5.3
[b305315f] Elliptic v1.0.1
[4e289a0a] EnumX v1.0.4
[f151be2c] EnzymeCore v0.6.5
[6912e4f1] Espresso v0.6.1
[460bff9d] ExceptionUnwrapping v0.1.10
[d4d017d3] ExponentialUtilities v1.25.0
[e2ba6199] ExprTools v0.1.10
[c87230d0] FFMPEG v0.4.1
[7a1cc6ca] FFTW v1.8.0
[7034ab61] FastBroadcast v0.2.8
[9aa1b823] FastClosures v0.3.2
[442a2c76] FastGaussQuadrature v1.0.2
[29a986be] FastLapackInterface v2.0.0
[1a297f60] FillArrays v1.9.3
[6a86dc24] FiniteDiff v2.22.0
[b59a298d] FiniteHorizonGramians v0.2.0
[53c48c17] FixedPointNumbers v0.8.4
[59287772] Formatting v0.4.2
[f6369f11] ForwardDiff v0.10.36
[069b7b12] FunctionWrappers v1.1.3
[77dc65aa] FunctionWrappersWrappers v0.1.3
[d9f16b24] Functors v0.4.5
⌃ [46192b85] GPUArraysCore v0.1.5
⌅ [28b8d3ca] GR v0.72.10
[43dcc890] GaussianDistributions v0.5.2
[c145ed77] GenericSchur v0.5.3
[c27321d9] Glob v1.3.1
[86223c79] Graphs v1.9.0
[42e2da0e] Grisu v1.0.2
⌅ [0b43b601] Groebner v0.5.1
⌅ [d5909c97] GroupsCore v0.4.2
[cd3eb016] HTTP v1.10.1
[eafb193a] Highlights v0.5.2
[3e5b6fbb] HostCPUFeatures v0.1.16
[34004b35] HypergeometricFunctions v0.3.23
[7073ff75] IJulia v1.24.2
[615f187c] IfElse v0.1.1
[d25df0c9] Inflate v0.1.4
[842dd82b] InlineStrings v1.4.0
[18e54dd8] IntegerMathUtils v0.1.2
[8197267c] IntervalSets v0.7.8
[3587e190] InverseFunctions v0.1.12
[41ab1584] InvertedIndices v1.3.0
[92d709cd] IrrationalConstants v0.2.2
[c8e1da08] IterTools v1.10.0
[82899510] IteratorInterfaceExtensions v1.0.0
[1019f520] JLFzf v0.1.7
[692b3bcd] JLLWrappers v1.5.0
[682c06a0] JSON v0.21.4
[98e50ef6] JuliaFormatter v1.0.45
[ccbc3e58] JumpProcesses v9.10.1
[ef3ab10e] KLU v0.4.1
[2c470bb0] Kronecker v0.5.5
[ba0b0d4f] Krylov v0.9.5
[7f56f5a3] LSODA v0.7.5
[b964fa9f] LaTeXStrings v1.3.1
[2ee39098] LabelledArrays v1.15.0
[984bce1d] LambertW v0.4.6
[23fbe1c1] Latexify v0.16.1
[73f95e8e] LatticeRules v0.0.1
[10f19ff3] LayoutPointers v0.1.15
[50d2b5c4] Lazy v0.15.1
[5078a376] LazyArrays v1.8.3
[1d6d02ad] LeftChildRightSiblingTrees v0.2.0
[d3d80556] LineSearches v7.2.0
[7a12625a] LinearMaps v3.11.1
[7ed4a6bd] LinearSolve v2.22.1
[2ab3a3ac] LogExpFunctions v0.3.26
[e6f89c97] LoggingExtras v1.0.3
[bdcacae8] LoopVectorization v0.12.166
[10e44e05] MATLAB v0.8.4
[e2752cbe] MATLABDiffEq v1.2.0
[d8e11817] MLStyle v0.4.17
[1914dd2f] MacroTools v0.5.13
[d125e4d3] ManualMemory v0.1.8
[99c1a7ee] MatrixEquations v2.4.0
[a3b82374] MatrixFactorizations v2.1.0
[bb5d69b7] MaybeInplace v0.1.1
[739be429] MbedTLS v1.1.9
[442fdcdd] Measures v0.3.2
[e1d29d7a] Missings v1.1.0
⌃ [961ee093] ModelingToolkit v8.73.2
[46d2c3a1] MuladdMacro v0.2.4
[102ac46a] MultivariatePolynomials v0.5.4
[ffc61752] Mustache v1.0.19
[d8a4904e] MutableArithmetics v1.4.0
[d41bc354] NLSolversBase v7.8.3
[2774e3e8] NLsolve v4.5.1
[77ba4419] NaNMath v1.0.2
[356022a1] NamedDims v1.2.1
⌃ [8913a72c] NonlinearSolve v3.1.0
[54ca160b] ODEInterface v0.5.0
[09606e27] ODEInterfaceDiffEq v3.13.3
[6fd5a793] Octavian v0.3.27
[6fe1bfb0] OffsetArrays v1.13.0
[4d8831e6] OpenSSL v1.4.1
[429524aa] Optim v1.7.8
[bac558e1] OrderedCollections v1.6.3
⌃ [1dea7af3] OrdinaryDiffEq v6.66.0
[90014a1f] PDMats v0.11.31
[fe68d972] PSDMatrices v0.4.7
[65ce6f38] PackageExtensionCompat v1.0.2
[65888b18] ParameterizedFunctions v5.16.0
[d96e819e] Parameters v0.12.3
[69de0a69] Parsers v2.8.1
[b98c9c47] Pipe v1.3.0
[32113eaa] PkgBenchmark v0.2.12
[ccf2f8ad] PlotThemes v3.1.0
[995b91a9] PlotUtils v1.4.0
[91a5bcdd] Plots v1.39.0
[e409e4f3] PoissonRandom v0.4.4
[f517fe37] Polyester v0.7.9
[1d0040c9] PolyesterWeave v0.2.1
⌅ [f27b6e38] Polynomials v3.2.13
[2dfb63ee] PooledArrays v1.4.3
[85a6dd25] PositiveFactorizations v0.2.4
[d236fae5] PreallocationTools v0.4.17
[aea7be01] PrecompileTools v1.2.0
[21216c6a] Preferences v1.4.1
[08abe8d2] PrettyTables v2.3.1
[27ebfcd6] Primes v0.5.5
[bf3e78b0] ProbNumDiffEq v0.14.0 `~/.julia/dev/ProbNumDiffEq`
[33c8b6b6] ProgressLogging v0.1.4
[438e738f] PyCall v1.96.4
[1fd47b50] QuadGK v2.9.4
[8a4e6c94] QuasiMonteCarlo v0.3.3
⌅ [6f49c342] RCall v0.13.18
[74087812] Random123 v1.6.2
[fb686558] RandomExtensions v0.4.4
[e6cf234a] RandomNumbers v1.5.3
[3cdcf5f2] RecipesBase v1.3.4
[01d81517] RecipesPipeline v0.6.12
⌅ [731186ca] RecursiveArrayTools v2.38.10
[f2c3362d] RecursiveFactorization v0.2.21
[189a3867] Reexport v1.2.2
[05181044] RelocatableFolders v1.0.1
[ae029012] Requires v1.3.0
[ae5879a3] ResettableStacks v1.1.1
[79098fc4] Rmath v0.7.1
[47965b36] RootedTrees v2.20.0
[7e49a35a] RuntimeGeneratedFunctions v0.5.12
[fdea26ae] SIMD v3.4.6
[94e857df] SIMDTypes v0.1.0
[476501e8] SLEEFPirates v0.6.42
⌃ [0bca4576] SciMLBase v2.10.0
[c0aeaf25] SciMLOperators v0.3.7
[505e40e9] SciPyDiffEq v0.2.1
[6c6a2e73] Scratch v1.2.1
[91c51154] SentinelArrays v1.4.1
[efcf1570] Setfield v1.1.1
[1277b4bf] ShiftedArrays v2.0.0
[992d4aef] Showoff v1.0.3
[777ac1f9] SimpleBufferStream v1.1.0
[727e6d20] SimpleNonlinearSolve v1.3.1
[699a6c99] SimpleTraits v0.9.4
[ce78b400] SimpleUnPack v1.1.0
[ed01d8cd] Sobol v1.5.0
[b85f4697] SoftGlobalScope v1.1.0
[a2af1166] SortingAlgorithms v1.2.1
[47a9eef4] SparseDiffTools v2.16.0
[e56a9233] Sparspak v0.3.9
[276daf66] SpecialFunctions v2.3.1
[928aab9d] SpecialMatrices v3.0.0
[aedffcd0] Static v0.8.8
[0d7ed370] StaticArrayInterface v1.5.0
[90137ffa] StaticArrays v1.9.1
[1e83bf80] StaticArraysCore v1.4.2
[82ae8749] StatsAPI v1.7.0
[2913bbd2] StatsBase v0.34.2
[4c63d2b9] StatsFuns v1.3.0
[3eaba693] StatsModels v0.7.3
[7792a7ef] StrideArraysCore v0.5.2
[69024149] StringEncodings v0.3.7
[892a3eda] StringManipulation v0.3.4
[09ab397b] StructArrays v0.6.16
[c3572dad] Sundials v4.23.1
⌅ [2efcf032] SymbolicIndexingInterface v0.2.2
⌃ [d1185830] SymbolicUtils v1.4.0
⌃ [0c5d862f] Symbolics v5.11.0
[9449cd9e] TSVD v0.4.3
[3783bdb8] TableTraits v1.0.1
[bd369af6] Tables v1.11.1
[92b13dbe] TaylorIntegration v0.14.5
[6aa5eb33] TaylorSeries v0.15.4
[62fd8b95] TensorCore v0.1.1
[5d786b92] TerminalLoggers v0.1.7
[8290d209] ThreadingUtilities v0.5.2
[a759f4b9] TimerOutputs v0.5.23
[c751599d] ToeplitzMatrices v0.8.3
[0796e94c] Tokenize v0.5.28
[3bb67fe8] TranscodingStreams v0.10.2
[d5829a12] TriangularSolve v0.1.20
[410a4b4d] Tricks v0.1.8
[781d530d] TruncatedStacktraces v1.4.0
[5c2747f8] URIs v1.5.1
[3a884ed6] UnPack v1.0.2
[1cfade01] UnicodeFun v0.4.1
[1986cc42] Unitful v1.19.0
[45397f5d] UnitfulLatexify v1.6.3
[a7c27f48] Unityper v0.1.6
[41fe7b60] Unzip v0.2.0
[3d5dd08c] VectorizationBase v0.21.65
[81def892] VersionParsing v1.3.0
[19fa3120] VertexSafeGraphs v0.2.0
[44d3d7a6] Weave v0.10.12
[1b915085] WinReg v1.0.0
[efce3f68] WoodburyMatrices v1.0.0
[ddb6d928] YAML v0.4.9
[c2297ded] ZMQ v1.2.2
[0518478a] deSolveDiffEq v0.1.1
[6e34b625] Bzip2_jll v1.0.8+1
[83423d85] Cairo_jll v1.16.1+1
[2702e6a9] EpollShim_jll v0.0.20230411+0
[2e619515] Expat_jll v2.5.0+0
[b22a6f82] FFMPEG_jll v4.4.4+1
[f5851436] FFTW_jll v3.3.10+0
[a3f928ae] Fontconfig_jll v2.13.93+0
[d7e528f0] FreeType2_jll v2.13.1+0
[559328eb] FriBidi_jll v1.0.10+0
[0656b61e] GLFW_jll v3.3.9+0
⌅ [d2c73de3] GR_jll v0.72.10+0
[78b55507] Gettext_jll v0.21.0+0
[7746bdde] Glib_jll v2.76.5+0
[3b182d85] Graphite2_jll v1.3.14+0
[2e76f6c2] HarfBuzz_jll v2.8.1+1
[1d5cc7b8] IntelOpenMP_jll v2024.0.2+0
[aacddb02] JpegTurbo_jll v3.0.1+0
[c1c5ebd0] LAME_jll v3.100.1+0
[88015f11] LERC_jll v3.0.0+1
[1d63c593] LLVMOpenMP_jll v15.0.7+0
[aae0fff6] LSODA_jll v0.1.2+0
[dd4b983a] LZO_jll v2.10.1+0
⌅ [e9f186c6] Libffi_jll v3.2.2+1
[d4300ac3] Libgcrypt_jll v1.8.7+0
[7e76a0d4] Libglvnd_jll v1.6.0+0
[7add5ba3] Libgpg_error_jll v1.42.0+0
[94ce4f54] Libiconv_jll v1.17.0+0
[4b2f31a3] Libmount_jll v2.35.0+0
⌅ [89763e89] Libtiff_jll v4.5.1+1
[38a345b3] Libuuid_jll v2.36.0+0
[856f044c] MKL_jll v2024.0.0+0
[c771fb93] ODEInterface_jll v0.0.1+0
[e7412a2a] Ogg_jll v1.3.5+1
[458c3c95] OpenSSL_jll v3.0.12+0
[efe28fd5] OpenSpecFun_jll v0.5.5+0
[91d4177d] Opus_jll v1.3.2+0
[30392449] Pixman_jll v0.42.2+0
[c0090381] Qt6Base_jll v6.5.3+1
[f50d1b31] Rmath_jll v0.4.0+0
⌅ [fb77eaff] Sundials_jll v5.2.2+0
[a44049a8] Vulkan_Loader_jll v1.3.243+0
[a2964d1f] Wayland_jll v1.21.0+1
[2381bf8a] Wayland_protocols_jll v1.31.0+0
[02c8fc9c] XML2_jll v2.12.2+0
[aed1982a] XSLT_jll v1.1.34+0
[ffd25f8a] XZ_jll v5.4.5+0
[f67eecfb] Xorg_libICE_jll v1.0.10+1
[c834827a] Xorg_libSM_jll v1.2.3+0
[4f6342f7] Xorg_libX11_jll v1.8.6+0
[0c0b7dd1] Xorg_libXau_jll v1.0.11+0
[935fb764] Xorg_libXcursor_jll v1.2.0+4
[a3789734] Xorg_libXdmcp_jll v1.1.4+0
[1082639a] Xorg_libXext_jll v1.3.4+4
[d091e8ba] Xorg_libXfixes_jll v5.0.3+4
[a51aa0fd] Xorg_libXi_jll v1.7.10+4
[d1454406] Xorg_libXinerama_jll v1.1.4+4
[ec84b674] Xorg_libXrandr_jll v1.5.2+4
[ea2f1a96] Xorg_libXrender_jll v0.9.10+4
[14d82f49] Xorg_libpthread_stubs_jll v0.1.1+0
[c7cfdc94] Xorg_libxcb_jll v1.15.0+0
[cc61e674] Xorg_libxkbfile_jll v1.1.2+0
[e920d4aa] Xorg_xcb_util_cursor_jll v0.1.4+0
[12413925] Xorg_xcb_util_image_jll v0.4.0+1
[2def613f] Xorg_xcb_util_jll v0.4.0+1
[975044d2] Xorg_xcb_util_keysyms_jll v0.4.0+1
[0d47668e] Xorg_xcb_util_renderutil_jll v0.3.9+1
[c22f9ab0] Xorg_xcb_util_wm_jll v0.4.1+1
[35661453] Xorg_xkbcomp_jll v1.4.6+0
[33bec58e] Xorg_xkeyboard_config_jll v2.39.0+0
[c5fb5394] Xorg_xtrans_jll v1.5.0+0
[8f1865be] ZeroMQ_jll v4.3.4+0
[3161d3a3] Zstd_jll v1.5.5+0
[35ca27e7] eudev_jll v3.2.9+0
[214eeab7] fzf_jll v0.43.0+0
[1a1c6b14] gperf_jll v3.1.1+0
[a4ae2306] libaom_jll v3.4.0+0
[0ac62f75] libass_jll v0.15.1+0
[2db6ffa8] libevdev_jll v1.11.0+0
[f638f0a6] libfdk_aac_jll v2.0.2+0
[36db933b] libinput_jll v1.18.0+0
[b53b4c65] libpng_jll v1.6.40+0
[a9144af2] libsodium_jll v1.0.20+0
[f27f6e37] libvorbis_jll v1.3.7+1
[009596ad] mtdev_jll v1.1.6+0
[1270edf5] x264_jll v2021.5.5+0
[dfaa095f] x265_jll v3.5.0+0
[d8fb68d0] xkbcommon_jll v1.4.1+1
[0dad84c5] ArgTools v1.1.1
[56f22d72] Artifacts
[2a0f44e3] Base64
[ade2ca70] Dates
[8ba89e20] Distributed
[f43a241f] Downloads v1.6.0
[7b1f6079] FileWatching
[9fa8497b] Future
[b77e0a4c] InteractiveUtils
[4af54fe1] LazyArtifacts
[b27032c2] LibCURL v0.6.4
[76f85450] LibGit2
[8f399da3] Libdl
[37e2e46d] LinearAlgebra
[56ddb016] Logging
[d6f4376e] Markdown
[a63ad114] Mmap
[ca575930] NetworkOptions v1.2.0
[44cfe95a] Pkg v1.10.0
[de0858da] Printf
[9abbd945] Profile
[3fa0cd96] REPL
[9a3f8284] Random
[ea8e919c] SHA v0.7.0
[9e88b42a] Serialization
[1a1011a3] SharedArrays
[6462fe0b] Sockets
[2f01184e] SparseArrays v1.10.0
[10745b16] Statistics v1.10.0
[4607b0f0] SuiteSparse
[fa267f1f] TOML v1.0.3
[a4e569a6] Tar v1.10.0
[8dfed614] Test
[cf7118a7] UUIDs
[4ec0a83e] Unicode
[e66e0078] CompilerSupportLibraries_jll v1.0.5+1
[deac9b47] LibCURL_jll v8.4.0+0
[e37daf67] LibGit2_jll v1.6.4+0
[29816b5a] LibSSH2_jll v1.11.0+1
[c8ffd9c3] MbedTLS_jll v2.28.2+1
[14a3606d] MozillaCACerts_jll v2023.1.10
[4536629a] OpenBLAS_jll v0.3.23+2
[05823500] OpenLibm_jll v0.8.1+2
[efcefdf7] PCRE2_jll v10.42.0+1
[bea87d4a] SuiteSparse_jll v7.2.1+1
[83775a58] Zlib_jll v1.2.13+1
[8e850b90] libblastrampoline_jll v5.8.0+1
[8e850ede] nghttp2_jll v1.52.0+1
[3f19e933] p7zip_jll v17.4.0+2
Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`