Definition 1.6.5 (1): an objective f : E β β belongs to the textbook class π’_* when
f β C^{1,1}_L and f is bounded below. Specializing E to ββΏ recovers the textbook
formulation.
Instances For
Unfolding f β π’β[L] gives the canonical conjunction of C^{1,1}_L regularity and
lower boundedness.
Membership in π’_* supplies the CΒΉ regularity component of the objective.
Membership in π’_* supplies the global L-Lipschitz bound on the gradient.
Membership in π’_* supplies lower boundedness of the objective values.
Membership in π’_* supplies ordinary differentiability at every point.
Membership in π’_* makes the displayed totalized gradient the genuine gradient.
A point xΜ is an Ξ΅-solution for an objective f relative to the starting point xβ
when f(xΜ) β€ f(xβ) and ββ f(xΜ)β β€ Ξ΅. This source-facing stopping predicate lives on the
plain objective f : E β β; when f β π’β[L], the displayed gradient is source-faithful by
IsGStar.hasGradientAt. Specializing E to ββΏ recovers the textbook formulation.
Instances For
Unfolding IsEpsilonSolution f xβ Ξ΅ xΜ gives the textbook conditions
f(xΜ) β€ f(xβ) and ββ f(xΜ)β β€ Ξ΅.
Definition 1.6.5 (2): the textbook class π’_* at accuracy threshold Ξ΅, viewed as a
Chapter 1 black-box optimization problem class.
Its model is the subtype of lower-bounded unconstrained
C^{1,1}_L(ββΏ) objectives, its oracle is the canonical first-order answer map
x β¦ (f x, β f x), and its stopping criterion accepts exactly the triples (f, xβ, xΜ) for
which xΜ is an Ξ΅-solution for the model objective f relative to xβ.
Instances For
A state is accepted by gStarProblemClass n L Ξ΅ exactly when its endpoint is an
Ξ΅-solution for the model objective relative to its starting point.
The oracle of gStarProblemClass n L Ξ΅ is the canonical first-order answer map
(f, x) β¦ (f x, β f x).