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Differentials

Manopt.differential_bezier_control — Method
differential_bezier_control(
    M::Manifold,
    B::AbstractVector{<:BezierSegment},
    T::AbstractVector{Float}
    X::AbstractVector{<:BezierSegment}
)

evaluate the differential of the composite Bézier curve with respect to its control points B and tangent vectors X in the tangent spaces of the control points. The result is the “change” of the curve at pts, which are elementwise in $[0,N]$, and each depending the corresponding segment(s). Here, $N$ is the length of B.

See de_casteljau for more details on the curve and [BergmannGousenbourger2018].

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Manopt.differential_bezier_control — Method
differential_bezier_control(
    M::Manifold,
    B::AbstractVector{<:BezierSegment},
    t::Float64,
    X::AbstractVector{<:BezierSegment}
)

evaluate the differential of the composite Bézier curve with respect to its control points B and tangent vectors Ξ in the tangent spaces of the control points. The result is the “change” of the curve at t $\in[0,N]$, which depends only on the corresponding segment. Here, $N$ is the length of B.

See de_casteljau for more details on the curve.

source
Manopt.differential_bezier_control — Method
differential_bezier_control(
    M::Manifold,
    b::NTuple{N,P},
    T::Array{Float64,1},
    X::BezierSegment,
)

evaluate the differential of the Bézier curve with respect to its control points b and tangent vectors X in the tangent spaces of the control points. The result is the “change” of the curve at the points T, elementwise in $\in[0,1]$.

See de_casteljau for more details on the curve.

source
Manopt.differential_bezier_control — Method
differential_bezier(M::Manifold, b::BezierSegment, t::Float, X::BezierSegment)

evaluate the differential of the Bézier curve with respect to its control points b and tangent vectors X given in the tangent spaces of the control points. The result is the “change” of the curve at t$\in[0,1]$.

See de_casteljau for more details on the curve.

source
Manopt.differential_forward_logs — Method
Y = differential_forward_logs(M, p, X)

compute the differenital of forward_logs $F$ on the PowerManifold manifold M at p and direction X , in the power manifold array, the differential of the function

\[F_i(x) = \sum_{j ∈ \mathcal I_i} \log_{p_i} p_j$, \quad i ∈ \mathcal G,\]

where $\mathcal G$ is the set of indices of the PowerManifold manifold M and $\mathcal I_i$ denotes the forward neighbors of $i$.

Input

  • M – a PowerManifold manifold
  • p – a point.
  • X – a tangent vector.

Ouput

  • Y – resulting tangent vector in $T_x\mathcal N$ representing the differentials of the logs, where $\mathcal N$ is thw power manifold with the number of dimensions added to size(x).
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