jormungandr.optimization.IterationInfo Class Reference

Public Member Functions
int	iteration (self)
Annotated[NDArray[numpy.float64], dict(shape=(None,), order='C')]	x (self)
scipy.sparse.csc_matrix[float]	g (self)
scipy.sparse.csc_matrix[float]	H (self)
scipy.sparse.csc_matrix[float]	A_e (self)
scipy.sparse.csc_matrix[float]	A_i (self)

Detailed Description

Solver iteration information exposed to an iteration callback.

Template parameter ``Scalar``:
    Scalar type.

Member Function Documentation

A_e()

scipy.sparse.csc_matrix[float] jormungandr.optimization.IterationInfo.A_e

(

self

)

The equality constraint Jacobian.

A_i()

scipy.sparse.csc_matrix[float] jormungandr.optimization.IterationInfo.A_i

(

self

)

The inequality constraint Jacobian.

g()

scipy.sparse.csc_matrix[float] jormungandr.optimization.IterationInfo.g

(

self

)

The gradient of the cost function.

H()

scipy.sparse.csc_matrix[float] jormungandr.optimization.IterationInfo.H

(

self

)

The Hessian of the Lagrangian.

iteration()

int jormungandr.optimization.IterationInfo.iteration

(

self

)

The solver iteration.

x()

Annotated[NDArray[numpy.float64], dict(shape=(None,), order='C')] jormungandr.optimization.IterationInfo.x

(

self

)

The decision variables.

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The documentation for this class was generated from the following file:

• jormungandr/optimization/__init__.py