Manopt.adjoint_differential_bezier_controlMethod
adjoint_differential_bezier_control(
M::AbstractManifold,
T::AbstractVector,
X::AbstractVector,
)
M::AbstractManifold,
Y::AbstractVector{<:BezierSegment},
T::AbstractVector,
X::AbstractVector,
)

Evaluate the adjoint of the differential with respect to the controlpoints at several times T. This can be computed in place of Y.

See de_casteljau for more details on the curve.

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Manopt.adjoint_differential_bezier_controlMethod
adjoint_differential_bezier_control(
M::AbstractManifold,
B::AbstractVector{<:BezierSegment},
t,
X
)
M::AbstractManifold,
Y::AbstractVector{<:BezierSegment},
B::AbstractVector{<:BezierSegment},
t,
X
)

evaluate the adjoint of the differential of a composite Bézier curve on the manifold M with respect to its control points b based on a points T$=(t_i)_{i=1}^n$ that are pointwise in $t_i∈[0,1]$ on the curve and given corresponding tangential vectors $X = (η_i)_{i=1}^n$, $η_i∈T_{β(t_i)}\mathcal M$ This can be computed in place of Y.

See de_casteljau for more details on the curve.

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Manopt.adjoint_differential_bezier_controlMethod
adjoint_differential_bezier_control(
M::AbstractManifold,
b::BezierSegment,
t::AbstractVector,
X::AbstractVector,
)
M::AbstractManifold,
Y::BezierSegment,
b::BezierSegment,
t::AbstractVector,
X::AbstractVector,
)

evaluate the adjoint of the differential of a Bézier curve on the manifold M with respect to its control points b based on a points T$=(t_i)_{i=1}^n$ that are pointwise in $t_i∈[0,1]$ on the curve and given corresponding tangential vectors $X = (η_i)_{i=1}^n$, $η_i∈T_{β(t_i)}\mathcal M$ This can be computed in place of Y.

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

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Manopt.adjoint_differential_bezier_controlMethod
adjoint_differential_bezier_control(M::AbstractManifold, b::BezierSegment, t, η)
M::AbstractManifold,
Y::BezierSegment,
b::BezierSegment,
t,
η,
)

evaluate the adjoint of the differential of a Bézier curve on the manifold M with respect to its control points b based on a point t$∈[0,1]$ on the curve and a tangent vector $η∈T_{β(t)}\mathcal M$. This can be computed in place of Y.

See de_casteljau for more details on the curve.

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Manopt.adjoint_differential_exp_argumentMethod
adjoint_differential_exp_argument(M, p, X, Y)
adjoint_differential_exp_argument!(M, Z, p, X, Y)

Compute the adjoint of $D_X\exp_p X[Y]$ (in place of Z). Note that $X ∈ T_p(T_p\mathcal M) = T_p\mathcal M$ is still a tangent vector.

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Manopt.adjoint_differential_forward_logsMethod
Y = adjoint_differential_forward_logs(M, p, X)
adjoint_differential_forward_logs!(M, Y, p, X)

Compute the adjoint differential of forward_logs $F$ orrucirng, in the power manifold array p, the differential of the function

$F_i(p) = \sum_{j ∈ \mathcal I_i} \log_{p_i} p_j$

where $i$ runs over all indices of the PowerManifold manifold M and $\mathcal I_i$ denotes the forward neighbors of $i$ Let $n$ be the number dimensions of the PowerManifold manifold (i.e. length(size(x))). Then the input tangent vector lies on the manifold $\mathcal M' = \mathcal M^n$. The adjoint differential can be computed in place of Y.

Input

• M – a PowerManifold manifold
• p – an array of points on a manifold
• X – a tangent vector to from the n-fold power of p, where n is the ndims of p

Ouput

Y – resulting tangent vector in $T_p\mathcal M$ representing the adjoint differentials of the logs.

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