v0.4.64

Manopt v0.4.64

Diff since v0.4.63

Added

• Remodel the constraints and their gradients into separate VectorGradientFunctions
  to reduce code duplication and encapsulate the inner model of these functions and their gradients
• Introduce a ConstrainedManoptProblem to model different ranges for the gradients in the
  new VectorGradientFunctions beyond the default NestedPowerRepresentation
• introduce a VectorHessianFunction to also model that one can provide the vector of Hessians
  to constraints
• introduce a more flexible indexing beyond single indexing, to also include arbitrary ranges
  when accessing vector functions and their gradients and hence also for constraints and
  their gradients.

Changed

• Remodel ConstrainedManifoldObjective to store an AbstractManifoldObjective
  internally instead of directly f and grad_f, allowing also Hessian objectives
  therein and implementing access to this Hessian
• Fixed a bug that Lanczos produced NaNs when started exactly in a minimizer, since we divide by the gradient norm.

Deprecated

• deprecate get_grad_equality_constraints(M, o, p), use get_grad_equality_constraint(M, o, p, :)
  from the more flexible indexing instead.

Merged pull requests:

• Modularise Constraints (#386) (@kellertuer)
• Fix Initial condition on Lanczos (#391) (@kellertuer)

Closed issues:

• Representing gradient of constraints as tangents on a power manifold (#185)
• Lanczos initial value shouldn't be zero (#390)