Ipopt
3.12.12
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This is a base class for many standard scaling techniques. More...
#include <IpNLPScaling.hpp>
Public Member Functions | |
virtual void | DetermineScaling (const SmartPtr< const VectorSpace > x_space, const SmartPtr< const VectorSpace > c_space, const SmartPtr< const VectorSpace > d_space, const SmartPtr< const MatrixSpace > jac_c_space, const SmartPtr< const MatrixSpace > jac_d_space, const SmartPtr< const SymMatrixSpace > h_space, SmartPtr< const MatrixSpace > &new_jac_c_space, SmartPtr< const MatrixSpace > &new_jac_d_space, SmartPtr< const SymMatrixSpace > &new_h_space, const Matrix &Px_L, const Vector &x_L, const Matrix &Px_U, const Vector &x_U) |
This method is called by the IpoptNLP's at a convenient time to compute and/or read scaling factors. More... | |
Constructors/Destructors | |
StandardScalingBase () | |
virtual | ~StandardScalingBase () |
Default destructor. More... | |
virtual Number | apply_obj_scaling (const Number &f) |
Methods to map scaled and unscaled matrices. More... | |
virtual Number | unapply_obj_scaling (const Number &f) |
Returns an obj-unscaled version of the given scalar. More... | |
virtual SmartPtr< Vector > | apply_vector_scaling_x_NonConst (const SmartPtr< const Vector > &v) |
Returns an x-scaled version of the given vector. More... | |
virtual SmartPtr< const Vector > | apply_vector_scaling_x (const SmartPtr< const Vector > &v) |
Returns an x-scaled version of the given vector. More... | |
virtual SmartPtr< Vector > | unapply_vector_scaling_x_NonConst (const SmartPtr< const Vector > &v) |
Returns an x-unscaled version of the given vector. More... | |
virtual SmartPtr< const Vector > | unapply_vector_scaling_x (const SmartPtr< const Vector > &v) |
Returns an x-unscaled version of the given vector. More... | |
virtual SmartPtr< const Vector > | apply_vector_scaling_c (const SmartPtr< const Vector > &v) |
Returns an c-scaled version of the given vector. More... | |
virtual SmartPtr< const Vector > | unapply_vector_scaling_c (const SmartPtr< const Vector > &v) |
Returns an c-unscaled version of the given vector. More... | |
virtual SmartPtr< Vector > | apply_vector_scaling_c_NonConst (const SmartPtr< const Vector > &v) |
Returns an c-scaled version of the given vector. More... | |
virtual SmartPtr< Vector > | unapply_vector_scaling_c_NonConst (const SmartPtr< const Vector > &v) |
Returns an c-unscaled version of the given vector. More... | |
virtual SmartPtr< const Vector > | apply_vector_scaling_d (const SmartPtr< const Vector > &v) |
Returns an d-scaled version of the given vector. More... | |
virtual SmartPtr< const Vector > | unapply_vector_scaling_d (const SmartPtr< const Vector > &v) |
Returns an d-unscaled version of the given vector. More... | |
virtual SmartPtr< Vector > | apply_vector_scaling_d_NonConst (const SmartPtr< const Vector > &v) |
Returns an d-scaled version of the given vector. More... | |
virtual SmartPtr< Vector > | unapply_vector_scaling_d_NonConst (const SmartPtr< const Vector > &v) |
Returns an d-unscaled version of the given vector. More... | |
virtual SmartPtr< const Matrix > | apply_jac_c_scaling (SmartPtr< const Matrix > matrix) |
Returns a scaled version of the jacobian for c. More... | |
virtual SmartPtr< const Matrix > | apply_jac_d_scaling (SmartPtr< const Matrix > matrix) |
Returns a scaled version of the jacobian for d If the overloaded method does not create a new matrix, make sure to set the matrix ptr passed in to NULL. More... | |
virtual SmartPtr< const SymMatrix > | apply_hessian_scaling (SmartPtr< const SymMatrix > matrix) |
Returns a scaled version of the hessian of the lagrangian If the overloaded method does not create a new matrix, make sure to set the matrix ptr passed in to NULL. More... | |
Methods for determining whether scaling for entities is | |
done | |
virtual bool | have_x_scaling () |
Returns true if the primal x variables are scaled. More... | |
virtual bool | have_c_scaling () |
Returns true if the equality constraints are scaled. More... | |
virtual bool | have_d_scaling () |
Returns true if the inequality constraints are scaled. More... | |
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bool | Initialize (const Journalist &jnlst, const OptionsList &options, const std::string &prefix) |
Method to initialize the options. More... | |
NLPScalingObject () | |
virtual | ~NLPScalingObject () |
Default destructor. More... | |
SmartPtr< Vector > | apply_vector_scaling_x_LU_NonConst (const Matrix &Px_LU, const SmartPtr< const Vector > &lu, const VectorSpace &x_space) |
Methods for scaling bounds - these wrap those above. More... | |
SmartPtr< const Vector > | apply_vector_scaling_x_LU (const Matrix &Px_LU, const SmartPtr< const Vector > &lu, const VectorSpace &x_space) |
Returns an x-scaled vector in the x_L or x_U space. More... | |
SmartPtr< Vector > | apply_vector_scaling_d_LU_NonConst (const Matrix &Pd_LU, const SmartPtr< const Vector > &lu, const VectorSpace &d_space) |
Returns an d-scaled vector in the d_L or d_U space. More... | |
SmartPtr< const Vector > | apply_vector_scaling_d_LU (const Matrix &Pd_LU, const SmartPtr< const Vector > &lu, const VectorSpace &d_space) |
Returns an d-scaled vector in the d_L or d_U space. More... | |
SmartPtr< Vector > | unapply_vector_scaling_d_LU_NonConst (const Matrix &Pd_LU, const SmartPtr< const Vector > &lu, const VectorSpace &d_space) |
Returns an d-unscaled vector in the d_L or d_U space. More... | |
SmartPtr< const Vector > | unapply_vector_scaling_d_LU (const Matrix &Pd_LU, const SmartPtr< const Vector > &lu, const VectorSpace &d_space) |
Returns an d-unscaled vector in the d_L or d_U space. More... | |
virtual SmartPtr< Vector > | apply_grad_obj_scaling_NonConst (const SmartPtr< const Vector > &v) |
Methods for scaling the gradient of the objective - wraps the virtual methods above. More... | |
virtual SmartPtr< const Vector > | apply_grad_obj_scaling (const SmartPtr< const Vector > &v) |
Returns a grad_f scaled version (d_f * D_x^{-1}) of the given vector. More... | |
virtual SmartPtr< Vector > | unapply_grad_obj_scaling_NonConst (const SmartPtr< const Vector > &v) |
Returns a grad_f unscaled version (d_f * D_x^{-1}) of the given vector. More... | |
virtual SmartPtr< const Vector > | unapply_grad_obj_scaling (const SmartPtr< const Vector > &v) |
Returns a grad_f unscaled version (d_f * D_x^{-1}) of the given vector. More... | |
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ReferencedObject () | |
virtual | ~ReferencedObject () |
Index | ReferenceCount () const |
void | AddRef (const Referencer *referencer) const |
void | ReleaseRef (const Referencer *referencer) const |
Static Public Member Functions | |
static void | RegisterOptions (SmartPtr< RegisteredOptions > roptions) |
Methods for IpoptType. More... | |
Protected Member Functions | |
virtual bool | InitializeImpl (const OptionsList &options, const std::string &prefix) |
Overloaded initialization method. More... | |
virtual void | DetermineScalingParametersImpl (const SmartPtr< const VectorSpace > x_space, const SmartPtr< const VectorSpace > c_space, const SmartPtr< const VectorSpace > d_space, const SmartPtr< const MatrixSpace > jac_c_space, const SmartPtr< const MatrixSpace > jac_d_space, const SmartPtr< const SymMatrixSpace > h_space, const Matrix &Px_L, const Vector &x_L, const Matrix &Px_U, const Vector &x_U, Number &df, SmartPtr< Vector > &dx, SmartPtr< Vector > &dc, SmartPtr< Vector > &dd)=0 |
This is the method that has to be overloaded by a particular scaling method that somehow computes the scaling vectors dx, dc, and dd. More... | |
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const Journalist & | Jnlst () const |
Accessor method for the journalist. More... | |
Private Member Functions | |
Default Compiler Generated Methods | |
(Hidden to avoid implicit creation/calling). These methods are not implemented and we do not want the compiler to implement them for us, so we declare them private and do not define them. This ensures that they will not be implicitly created/called. | |
StandardScalingBase (const StandardScalingBase &) | |
Copy Constructor. More... | |
void | operator= (const StandardScalingBase &) |
Overloaded Equals Operator. More... | |
Private Attributes | |
Number | df_ |
Scaling parameters - we only need to keep copies of the objective scaling and the x scaling - the others we can get from the scaled matrix spaces. More... | |
SmartPtr< Vector > | dx_ |
x scaling More... | |
SmartPtr< ScaledMatrixSpace > | scaled_jac_c_space_ |
Scaled Matrix Spaces. More... | |
SmartPtr< ScaledMatrixSpace > | scaled_jac_d_space_ |
Scaled jacobian of d space. More... | |
SmartPtr< SymScaledMatrixSpace > | scaled_h_space_ |
Scaled hessian of lagrangian spacea. More... | |
Algorithmic parameters | |
Number | obj_scaling_factor_ |
Additional scaling value for the objective function. More... | |
This is a base class for many standard scaling techniques.
The overloaded classes only need to provide the scaling parameters
Definition at line 229 of file IpNLPScaling.hpp.
Ipopt::StandardScalingBase::StandardScalingBase | ( | ) |
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Default destructor.
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Copy Constructor.
Methods to map scaled and unscaled matrices.
Returns an obj-scaled version of the given scalar
Implements Ipopt::NLPScalingObject.
Returns an obj-unscaled version of the given scalar.
Implements Ipopt::NLPScalingObject.
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Returns an x-scaled version of the given vector.
Implements Ipopt::NLPScalingObject.
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Returns an x-scaled version of the given vector.
Implements Ipopt::NLPScalingObject.
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Returns an x-unscaled version of the given vector.
Implements Ipopt::NLPScalingObject.
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Returns an x-unscaled version of the given vector.
Implements Ipopt::NLPScalingObject.
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Returns an c-scaled version of the given vector.
Implements Ipopt::NLPScalingObject.
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Returns an c-unscaled version of the given vector.
Implements Ipopt::NLPScalingObject.
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Returns an c-scaled version of the given vector.
Implements Ipopt::NLPScalingObject.
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Returns an c-unscaled version of the given vector.
Implements Ipopt::NLPScalingObject.
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Returns an d-scaled version of the given vector.
Implements Ipopt::NLPScalingObject.
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Returns an d-unscaled version of the given vector.
Implements Ipopt::NLPScalingObject.
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Returns an d-scaled version of the given vector.
Implements Ipopt::NLPScalingObject.
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Returns an d-unscaled version of the given vector.
Implements Ipopt::NLPScalingObject.
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Returns a scaled version of the jacobian for c.
If the overloaded method does not make a new matrix, make sure to set the matrix ptr passed in to NULL.
Implements Ipopt::NLPScalingObject.
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Returns a scaled version of the jacobian for d If the overloaded method does not create a new matrix, make sure to set the matrix ptr passed in to NULL.
Implements Ipopt::NLPScalingObject.
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Returns a scaled version of the hessian of the lagrangian If the overloaded method does not create a new matrix, make sure to set the matrix ptr passed in to NULL.
Implements Ipopt::NLPScalingObject.
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Returns true if the primal x variables are scaled.
Implements Ipopt::NLPScalingObject.
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Returns true if the equality constraints are scaled.
Implements Ipopt::NLPScalingObject.
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Returns true if the inequality constraints are scaled.
Implements Ipopt::NLPScalingObject.
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This method is called by the IpoptNLP's at a convenient time to compute and/or read scaling factors.
Implements Ipopt::NLPScalingObject.
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Methods for IpoptType.
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Overloaded initialization method.
Implements Ipopt::NLPScalingObject.
Reimplemented in Ipopt::EquilibrationScaling, and Ipopt::GradientScaling.
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This is the method that has to be overloaded by a particular scaling method that somehow computes the scaling vectors dx, dc, and dd.
The pointers to those vectors can be NULL, in which case no scaling for that item will be done later.
Implemented in Ipopt::NoNLPScalingObject, Ipopt::EquilibrationScaling, Ipopt::GradientScaling, and Ipopt::UserScaling.
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Overloaded Equals Operator.
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Scaling parameters - we only need to keep copies of the objective scaling and the x scaling - the others we can get from the scaled matrix spaces.
objective scaling parameter
Definition at line 377 of file IpNLPScaling.hpp.
x scaling
Definition at line 379 of file IpNLPScaling.hpp.
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Scaled jacobian of d space.
Definition at line 387 of file IpNLPScaling.hpp.
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Scaled hessian of lagrangian spacea.
Definition at line 389 of file IpNLPScaling.hpp.
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Additional scaling value for the objective function.
Definition at line 395 of file IpNLPScaling.hpp.