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Introduce outer norms to three stopping criteria #417

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4 changes: 4 additions & 0 deletions Changelog.md
Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0

## [0.5.3] – October 18, 2024

### Added

* `StopWhenChangeLess`, `StopWhenGradientChangeLess` and `StopWhenGradientLess` can now use the new idea (ManifoldsBase.jl 0.15.18) of different outer norms on manifolds with components like power and product manifolds and all others that support this from the `Manifolds.jl` Library, like `Euclidean`

### Changed

* stabilize `max_Stepzise` to also work when `injectivity_radius` dos not exist.
Expand Down
4 changes: 2 additions & 2 deletions Project.toml
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
name = "Manopt"
uuid = "0fc0a36d-df90-57f3-8f93-d78a9fc72bb5"
authors = ["Ronny Bergmann <[email protected]>"]
version = "0.5.2"
version = "0.5.3"

[deps]
ColorSchemes = "35d6a980-a343-548e-a6ea-1d62b119f2f4"
Expand Down Expand Up @@ -52,7 +52,7 @@ LineSearches = "7.2.0"
LinearAlgebra = "1.6"
ManifoldDiff = "0.3.8"
Manifolds = "0.9.11, 0.10"
ManifoldsBase = "0.15.10"
ManifoldsBase = "0.15.18"
ManoptExamples = "0.1.10"
Markdown = "1.6"
Plots = "1.30"
Expand Down
1 change: 1 addition & 0 deletions src/Manopt.jl
Original file line number Diff line number Diff line change
Expand Up @@ -103,6 +103,7 @@ using ManifoldsBase:
get_vector,
get_vector!,
get_vectors,
has_components,
injectivity_radius,
inner,
inverse_retract,
Expand Down
21 changes: 21 additions & 0 deletions src/documentation_glossary.jl
Original file line number Diff line number Diff line change
Expand Up @@ -86,6 +86,7 @@ define!(:LaTeX, :quad, raw"\quad")
define!(:LaTeX, :reflect, raw"\operatorname{refl}")
define!(:LaTeX, :retr, raw"\operatorname{retr}")
define!(:LaTeX, :subgrad, raw"∂")
define!(:LaTeX, :sum, raw"\sum")
define!(:LaTeX, :text, (letter) -> raw"\text{" * "$letter" * "}")
define!(:LaTeX, :vert, raw"\vert")
define!(:LaTeX, :widehat, (letter) -> raw"\widehat{" * "$letter" * "}")
Expand All @@ -95,6 +96,7 @@ _tex(args...; kwargs...) = glossary(:LaTeX, args...; kwargs...)
# Mathematics and semantic symbols
# :symbol the symbol,
# :description the description
define!(:Math, :distance, raw"\mathrm{d}")
define!(:Math, :M, (; M="M") -> _math(:Manifold, :symbol; M=M))
define!(:Math, :Manifold, :symbol, (; M="M") -> _tex(:Cal, M))
define!(:Math, :Manifold, :descrption, "the Riemannian manifold")
Expand Down Expand Up @@ -138,6 +140,11 @@ define!(
:AbstractManifold,
"[`AbstractManifold`](@extref `ManifoldsBase.AbstractManifold`)",
)
define!(
:Link,
:AbstractPowerManifold,
"[`AbstractPowerManifold`](@extref `ManifoldsBase.AbstractPowerManifold`)",
)
define!(
:Link,
:injectivity_radius,
Expand Down Expand Up @@ -375,6 +382,13 @@ define!(
(; M="M", p="p") ->
"[`default_inverse_retraction_method`](@extref `ManifoldsBase.default_inverse_retraction_method-Tuple{AbstractManifold}`)`($M, typeof($p))`",
)
define!(
:Variable,
:last_change,
:description,
"the last change recorded in this stopping criterion",
)
define!(:Variable, :last_change, :type, "Real")

define!(
:Variable, :M, :description, (; M="M") -> "a Riemannian manifold ``$(_tex(:Cal, M))``"
Expand Down Expand Up @@ -403,6 +417,13 @@ define!(
"[`default_retraction_method`](@extref `ManifoldsBase.default_retraction_method-Tuple{AbstractManifold}`)`(M, typeof(p))`",
)

define!(
:Variable,
:storage,
:description,
(; M="M") -> "a storage to access the previous iterate",
)
define!(:Variable, :storage, :type, "StoreStateAction")
define!(
:Variable,
:stepsize,
Expand Down
150 changes: 123 additions & 27 deletions src/plans/stopping_criterion.jl
Original file line number Diff line number Diff line change
Expand Up @@ -192,16 +192,54 @@ end
StopWhenChangeLess <: StoppingCriterion

stores a threshold when to stop looking at the norm of the change of the
optimization variable from within a [`AbstractManoptSolverState`](@ref), i.e `get_iterate(o)`.
For the storage a [`StoreStateAction`](@ref) is used
optimization variable from within a [`AbstractManoptSolverState`](@ref) `s`.
That ism by accessing `get_iterate(s)` and comparing successive iterates.
For the storage a [`StoreStateAction`](@ref) is used.

# Fields


$(_var(:Field, :at_iteration))
$(_var(:Field, :last_change))
$(_var(:Field, :inverse_retraction_method))
$(_var(:Field, :storage))
* `at_iteration::Int`: indicate at which iteration this stopping criterion was last active.
* `inverse_retraction`: An [`AbstractInverseRetractionMethod`](@ref) that can be passed
to approximate the distance by this inverse retraction and a norm on the tangent space.
This can be used if neither the distance nor the logarithmic map are availannle on `M`.
* `last_change`: store the last change
* `storage`: A [`StoreStateAction`](@ref) to access the previous iterate.
* `threshold`: the threshold for the change to check (run under to stop)
* `outer_norm`: if `M` is a manifold with components, this can be used to specify the norm,
that is used to compute the overall distance based on the element-wise distance.
You can deactivate this, but setting this value to `missing`.

# Example

On an $(_link(:AbstractPowerManifold)) like ``$(_math(:M)) = $(_math(:M; M="N"))^n``
any point ``p = (p_1,…,p_n) ∈ $(_math(:M))`` is a vector of length ``n`` with of points ``p_i ∈ $(_math(:M; M="N"))``.
Then, denoting the `outer_norm` by ``r``, the distance of two points ``p,q ∈ $(_math(:M))``
is given by

```
$(_math(:distance))(p,q) = $(_tex(:Bigl))( $(_tex(:sum))_{k=1}^n $(_math(:distance))(p_k,q_k)^r $(_tex(:Bigr)))^{$(_tex(:frac, "1","r"))},
```

where the sum turns into a maximum for the case ``r=∞``.
The `outer_norm` has no effect on manifols, that do not consist of components.
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If the manifold does not have components, the outer norm is ignored.


# Constructor

StopWhenChangeLess(
M::AbstractManifold,
ε::Float64;
threshold::Float64;
storage::StoreStateAction=StoreStateAction([:Iterate]),
inverse_retraction_method::IRT=default_inverse_retraction_method(manifold)
inverse_retraction_method::IRT=default_inverse_retraction_method(M)
outer_norm=missing
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)

initialize the stopping criterion to a threshold `ε` using the
Expand All @@ -210,22 +248,24 @@ default. You can also provide an inverse_retraction_method for the `distance` or
to use its default inverse retraction.
"""
mutable struct StopWhenChangeLess{
F,IRT<:AbstractInverseRetractionMethod,TSSA<:StoreStateAction
F,IRT<:AbstractInverseRetractionMethod,TSSA<:StoreStateAction,N
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} <: StoppingCriterion
threshold::F
last_change::F
storage::TSSA
inverse_retraction::IRT
inverse_retraction_method::IRT
at_iteration::Int
outer_norm::N
end
function StopWhenChangeLess(
M::AbstractManifold,
ε::F;
storage::StoreStateAction=StoreStateAction(M; store_points=Tuple{:Iterate}),
inverse_retraction_method::IRT=default_inverse_retraction_method(M),
) where {F<:Real,IRT<:AbstractInverseRetractionMethod}
return StopWhenChangeLess{F,IRT,typeof(storage)}(
ε, zero(ε), storage, inverse_retraction_method, -1
outer_norm::N=missing,
) where {F,N,IRT<:AbstractInverseRetractionMethod}
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return StopWhenChangeLess{F,IRT,typeof(storage),N}(
ε, zero(ε), storage, inverse_retraction_method, -1, outer_norm
)
end
function StopWhenChangeLess(ε::R; kwargs...) where {R<:Real}
Expand All @@ -238,7 +278,10 @@ function (c::StopWhenChangeLess)(mp::AbstractManoptProblem, s::AbstractManoptSol
if has_storage(c.storage, PointStorageKey(:Iterate))
M = get_manifold(mp)
p_old = get_storage(c.storage, PointStorageKey(:Iterate))
c.last_change = distance(M, get_iterate(s), p_old, c.inverse_retraction)
r = (has_components(M) && !ismissing(c.outer_norm)) ? [c.outer_norm] : []
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c.last_change = distance(
M, get_iterate(s), p_old, c.inverse_retraction_method, r...
)
if c.last_change < c.threshold && k > 0
c.at_iteration = k
c.storage(mp, s, k)
Expand All @@ -261,8 +304,10 @@ function status_summary(c::StopWhenChangeLess)
end
indicates_convergence(c::StopWhenChangeLess) = true
function show(io::IO, c::StopWhenChangeLess)
s = ismissing(c.outer_norm) ? "" : "and outer norm $(c.outer_norm)"
return print(
io, "StopWhenChangeLess with threshold $(c.threshold)\n $(status_summary(c))"
io,
"StopWhenChangeLess with threshold $(c.threshold)$(s).\n $(status_summary(c))",
)
end

Expand Down Expand Up @@ -423,36 +468,59 @@ function show(io::IO, c::StopWhenEntryChangeLess)
return print(io, "StopWhenEntryChangeLess\n $(status_summary(c))")
end

@doc raw"""
@doc """
StopWhenGradientChangeLess <: StoppingCriterion

A stopping criterion based on the change of the gradient
A stopping criterion based on the change of the gradient.

# Fields

$(_var(:Field, :at_iteration))
$(_var(:Field, :last_change))
$(_var(:Field, :vector_transport_method))
$(_var(:Field, :storage))
* `threshold`: the threshold for the change to check (run under to stop)
* `outer_norm`: if `M` is a manifold with components, this can be used to specify the norm,
that is used to compute the overall distance based on the element-wise distance.
You can deactivate this, but setting this value to `missing`.

# Example

On an $(_link(:AbstractPowerManifold)) like ``$(_math(:M)) = $(_math(:M; M="N"))^n``
any point ``p = (p_1,…,p_n) ∈ $(_math(:M))`` is a vector of length ``n`` with of points ``p_i ∈ $(_math(:M; M="N"))``.
Then, denoting the `outer_norm` by ``r``, the norm of the difference of tangent vectors like the last and current gradien ``X,Y ∈ $(_math(:M))``
is given by

```
\lVert \mathcal T_{p^{(k)}\gets p^{(k-1)} \operatorname{grad} f(p^{(k-1)}) - \operatorname{grad} f(p^{(k-1)}) \rVert < ε
$(_tex(:norm, "X-Y"; index="p")) = $(_tex(:Bigl))( $(_tex(:sum))_{k=1}^n $(_tex(:norm, "X_k-Y_k"; index="p_k"))^r $(_tex(:Bigr)))^{$(_tex(:frac, "1","r"))},
```

where the sum turns into a maximum for the case ``r=∞``.
The `outer_norm` has no effect on manifols, that do not consist of components.

# Constructor

StopWhenGradientChangeLess(
M::AbstractManifold,
ε::Float64;
storage::StoreStateAction=StoreStateAction([:Iterate]),
vector_transport_method::IRT=default_vector_transport_method(M),
outer_norm::N=missing
)

Create a stopping criterion with threshold `ε` for the change gradient, that is, this criterion
indicates to stop when [`get_gradient`](@ref) is in (norm of) its change less than `ε`, where
`vector_transport_method` denotes the vector transport ``\mathcal T`` used.
`vector_transport_method` denotes the vector transport ``$(_tex(:Cal,"T"))`` used.
"""
mutable struct StopWhenGradientChangeLess{
F,VTM<:AbstractVectorTransportMethod,TSSA<:StoreStateAction
F,VTM<:AbstractVectorTransportMethod,TSSA<:StoreStateAction,N
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} <: StoppingCriterion
threshold::F
last_change::F
storage::TSSA
vector_transport_method::VTM
at_iteration::Int
outer_norm::N
end
function StopWhenGradientChangeLess(
M::AbstractManifold,
Expand All @@ -461,9 +529,10 @@ function StopWhenGradientChangeLess(
M; store_points=Tuple{:Iterate}, store_vectors=Tuple{:Gradient}
),
vector_transport_method::VTM=default_vector_transport_method(M),
) where {F,VTM<:AbstractVectorTransportMethod}
return StopWhenGradientChangeLess{F,VTM,typeof(storage)}(
ε, zero(ε), storage, vector_transport_method, -1
outer_norm::N=missing,
) where {F,N,VTM<:AbstractVectorTransportMethod}
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return StopWhenGradientChangeLess{F,VTM,typeof(storage),N}(
ε, zero(ε), storage, vector_transport_method, -1, outer_norm
)
end
function StopWhenGradientChangeLess(
Expand All @@ -485,7 +554,8 @@ function (c::StopWhenGradientChangeLess)(
X_old = get_storage(c.storage, VectorStorageKey(:Gradient))
p = get_iterate(s)
Xt = vector_transport_to(M, p_old, X_old, p, c.vector_transport_method)
c.last_change = norm(M, p, Xt - get_gradient(s))
r = (has_components(M) && !ismissing(c.outer_norm)) ? [c.outer_norm] : []
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c.last_change = norm(M, p, Xt - get_gradient(s), r...)
if c.last_change < c.threshold && k > 0
c.at_iteration = k
c.storage(mp, s, k)
Expand All @@ -507,9 +577,10 @@ function status_summary(c::StopWhenGradientChangeLess)
return "|Δgrad f| < $(c.threshold): $s"
end
function show(io::IO, c::StopWhenGradientChangeLess)
s = ismissing(c.outer_norm) ? "" : "outer_norm=$(c.outer_norm), "
return print(
io,
"StopWhenGradientChangeLess($(c.threshold); vector_transport_method=$(c.vector_transport_method))\n $(status_summary(c))",
"StopWhenGradientChangeLess with threshold $(c.threshold); $(s)vector_transport_method=$(c.vector_transport_method))\n $(status_summary(c))",
)
end

Expand All @@ -530,29 +601,53 @@ A stopping criterion based on the current gradient norm.

# Fields

* `norm`: a function `(M::AbstractManifold, p, X) -> ℝ` that computes a norm of the gradient `X` in the tangent space at `p` on `M``
* `norm`: a function `(M::AbstractManifold, p, X) -> ℝ` that computes a norm
of the gradient `X` in the tangent space at `p` on `M``.
For manifolds with components provide `(M::AbstractManifold, p, X, r) -> ℝ`.
* `threshold`: the threshold to indicate to stop when the distance is below this value
* `outer_norm`: if `M` is a manifold with components, this can be used to specify the norm,
that is used to compute the overall distance based on the element-wise distance.

# Internal fields

* `last_change` store the last change
* `at_iteration` store the iteration at which the stop indication happened

# Example

On an $(_link(:AbstractPowerManifold)) like ``$(_math(:M)) = $(_math(:M; M="N"))^n``
any point ``p = (p_1,…,p_n) ∈ $(_math(:M))`` is a vector of length ``n`` with of points ``p_i ∈ $(_math(:M; M="N"))``.
Then, denoting the `outer_norm` by ``r``, the norm of a tangent vector like the current gradient ``X ∈ $(_math(:M))``
is given by

```
$(_tex(:norm, "X"; index="p")) = $(_tex(:Bigl))( $(_tex(:sum))_{k=1}^n $(_tex(:norm, "X_k"; index="p_k"))^r $(_tex(:Bigr)))^{$(_tex(:frac, "1","r"))},
```

where the sum turns into a maximum for the case ``r=∞``.
The `outer_norm` has no effect on manifols, that do not consist of components.
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If you pass in your individual norm, this can be deactivated on such manifolds
by passing `missing` to `outer_norm`.

# Constructor

StopWhenGradientNormLess(ε; norm=(M,p,X) -> norm(M,p,X))
StopWhenGradientNormLess(ε; norm=ManifoldsBase.norm, outer_norm=missing)

Create a stopping criterion with threshold `ε` for the gradient, that is, this criterion
indicates to stop when [`get_gradient`](@ref) returns a gradient vector of norm less than `ε`,
where the norm to use can be specified in the `norm=` keyword.
"""
mutable struct StopWhenGradientNormLess{F,TF} <: StoppingCriterion
mutable struct StopWhenGradientNormLess{F,TF,N} <: StoppingCriterion
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norm::F
threshold::TF
last_change::TF
at_iteration::Int
function StopWhenGradientNormLess(ε::TF; norm::F=norm) where {F,TF}
return new{F,TF}(norm, ε, zero(ε), -1)
outer_norm::N
function StopWhenGradientNormLess(
ε::TF; norm::F=norm, outer_norm::N=missing
) where {F,TF,N}
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return new{F,TF,N}(norm, ε, zero(ε), -1, outer_norm)
end
end

Expand All @@ -564,7 +659,8 @@ function (sc::StopWhenGradientNormLess)(
sc.at_iteration = -1
end
if (k > 0)
sc.last_change = sc.norm(M, get_iterate(s), get_gradient(s))
r = (has_components(M) && !ismissing(sc.outer_norm)) ? [sc.outer_norm] : []
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sc.last_change = sc.norm(M, get_iterate(s), get_gradient(s), r...)
if sc.last_change < sc.threshold
sc.at_iteration = k
return true
Expand Down
2 changes: 1 addition & 1 deletion test/plans/test_stopping_criteria.jl
Original file line number Diff line number Diff line change
Expand Up @@ -88,7 +88,7 @@ struct DummyStoppingCriterion <: StoppingCriterion end
@testset "Stopping Criterion &/| operators" begin
a = StopAfterIteration(200)
b = StopWhenChangeLess(Euclidean(), 1e-6)
sb = "StopWhenChangeLess with threshold 1.0e-6\n $(Manopt.status_summary(b))"
sb = "StopWhenChangeLess with threshold 1.0e-6.\n $(Manopt.status_summary(b))"
@test repr(b) == sb
@test get_reason(b) == ""
b2 = StopWhenChangeLess(Euclidean(), 1e-6) # second constructor
Expand Down
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