The normalized first-order objective pairing dᵀ ∇f(x) / ‖d‖ used in the source minimization
problem.
Instances For
The defining formula for normalizedGradientPairing.
Chapter11 Definition 11.1.7: a vector d is a feasible steepest descent direction at x
when f is differentiable at x, d ≠ 0, d belongs to the closure of the Chapter 8 feasible
direction set FD(x, X), and its normalized gradient pairing is minimal among all feasible
directions in FD(x, X).
- ne : d ≠ 0
- differentiableAt : DifferentiableAt ℝ f x
- mem_closure : d ∈ closure (feasibleDirections x X)
- minimal (d' : E) (hd' : d' ∈ feasibleDirections x X) : normalizedGradientPairing f x d ≤ normalizedGradientPairing f x d'
Instances
IsFeasibleSteepestDescentDirection f x X d is a proposition.
Unfolding formula for IsFeasibleSteepestDescentDirection.
A feasible steepest descent direction is nonzero.
A feasible steepest descent direction is based at a feasible point.
The defining minimization inequality for a feasible steepest descent direction.