Ipopt Documentation  
IpOrigIpoptNLP.hpp
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1 // Copyright (C) 2004, 2010 International Business Machines and others.
2 // All Rights Reserved.
3 // This code is published under the Eclipse Public License.
4 //
5 // Authors: Carl Laird, Andreas Waechter IBM 2004-08-13
6 
7 #ifndef __IPORIGIPOPTNLP_HPP__
8 #define __IPORIGIPOPTNLP_HPP__
9 
10 #include "IpIpoptNLP.hpp"
11 #include "IpException.hpp"
12 #include "IpTimingStatistics.hpp"
13 
14 namespace Ipopt
15 {
16 
19 {
20  EXACT = 0,
22 };
23 
26 {
28  ALL_VARS
29 };
30 
66 {
67 public:
69 
72  const SmartPtr<const Journalist>& jnlst,
73  const SmartPtr<NLP>& nlp,
74  const SmartPtr<NLPScalingObject>& nlp_scaling,
75  TimingStatistics& timing_statistics
76  );
77 
79  virtual ~OrigIpoptNLP();
81 
82  virtual bool Initialize(
83  const Journalist& jnlst,
84  const OptionsList& options,
85  const std::string& prefix
86  );
87 
89  virtual bool InitializeStructures(
91  bool init_x,
92  SmartPtr<Vector>& y_c,
93  bool init_y_c,
94  SmartPtr<Vector>& y_d,
95  bool init_y_d,
96  SmartPtr<Vector>& z_L,
97  bool init_z_L,
98  SmartPtr<Vector>& z_U,
99  bool init_z_U,
100  SmartPtr<Vector>& v_L,
101  SmartPtr<Vector>& v_U
102  );
103 
105  virtual bool GetWarmStartIterate(
106  IteratesVector& warm_start_iterate
107  )
108  {
109  return nlp_->GetWarmStartIterate(warm_start_iterate);
110  }
111 
113 
115  virtual Number f(
116  const Vector& x
117  );
118 
122  virtual Number f(
123  const Vector& x,
124  Number mu
125  );
126 
129  const Vector& x
130  );
131 
136  const Vector& x,
137  Number mu
138  );
139 
142  const Vector& x
143  );
144 
147  const Vector& x
148  );
149 
154  const Vector& x
155  );
156 
159  const Vector& x
160  );
161 
164  const Vector& x,
165  Number obj_factor,
166  const Vector& yc,
167  const Vector& yd
168  );
169 
174  const Vector& x,
175  Number obj_factor,
176  const Vector& yc,
177  const Vector& yd,
178  Number mu
179  );
180 
187 
189  virtual SmartPtr<const Vector> x_L() const
190  {
191  return x_L_;
192  }
193 
195  virtual SmartPtr<const Matrix> Px_L() const
196  {
197  return Px_L_;
198  }
199 
206  {
207  return orig_x_L_;
208  }
209 
211  virtual SmartPtr<const Vector> x_U() const
212  {
213  return x_U_;
214  }
215 
217  virtual SmartPtr<const Matrix> Px_U() const
218  {
219  return Px_U_;
220  }
221 
228  {
229  return orig_x_U_;
230  }
231 
233  virtual SmartPtr<const Vector> d_L() const
234  {
235  return d_L_;
236  }
237 
239  virtual SmartPtr<const Matrix> Pd_L() const
240  {
241  return Pd_L_;
242  }
243 
250  {
251  return orig_d_L_;
252  }
253 
255  virtual SmartPtr<const Vector> d_U() const
256  {
257  return d_U_;
258  }
259 
261  virtual SmartPtr<const Matrix> Pd_U() const
262  {
263  return Pd_U_;
264  }
265 
272  {
273  return orig_d_U_;
274  }
275 
277  {
278  return h_space_;
279  }
280 
282  {
283  return x_space_;
284  }
286 
288  virtual void GetSpaces(
292  SmartPtr<const VectorSpace>& x_l_space,
293  SmartPtr<const MatrixSpace>& px_l_space,
294  SmartPtr<const VectorSpace>& x_u_space,
295  SmartPtr<const MatrixSpace>& px_u_space,
296  SmartPtr<const VectorSpace>& d_l_space,
297  SmartPtr<const MatrixSpace>& pd_l_space,
298  SmartPtr<const VectorSpace>& d_u_space,
299  SmartPtr<const MatrixSpace>& pd_u_space,
300  SmartPtr<const MatrixSpace>& Jac_c_space,
301  SmartPtr<const MatrixSpace>& Jac_d_space,
302  SmartPtr<const SymMatrixSpace>& Hess_lagrangian_space
303  );
304 
307  virtual void AdjustVariableBounds(
308  const Vector& new_x_L,
309  const Vector& new_x_U,
310  const Vector& new_d_L,
311  const Vector& new_d_U
312  );
313 
315  virtual Index f_evals() const
317  {
318  return f_evals_;
319  }
320  virtual Index grad_f_evals() const
321  {
322  return grad_f_evals_;
323  }
324  virtual Index c_evals() const
325  {
326  return c_evals_;
327  }
328  virtual Index jac_c_evals() const
329  {
330  return jac_c_evals_;
331  }
332  virtual Index d_evals() const
333  {
334  return d_evals_;
335  }
336  virtual Index jac_d_evals() const
337  {
338  return jac_d_evals_;
339  }
340  virtual Index h_evals() const
341  {
342  return h_evals_;
343  }
345 
347  void FinalizeSolution(
349  SolverReturn status,
350  const Vector& x,
351  const Vector& z_L,
352  const Vector& z_U,
353  const Vector& c,
354  const Vector& d,
355  const Vector& y_c,
356  const Vector& y_d,
357  Number obj_value,
358  const IpoptData* ip_data,
360  );
361 
363  AlgorithmMode mode,
364  Index iter,
365  Number obj_value,
366  Number inf_pr,
367  Number inf_du,
368  Number mu,
369  Number d_norm,
370  Number regularization_size,
371  Number alpha_du,
372  Number alpha_pr,
373  Index ls_trials,
376  );
378 
380  static void RegisterOptions(
382  );
383 
386  {
387  return nlp_;
388  }
389 
390 private:
393 
396 
413 
418 
420 
423 
426 
429 
434 
439 
444 
449 
452 
455 
458 
461 
464 
467 
470 
473 
476 
479 
482 
485 
489 
499 
502 
505  const OrigIpoptNLP&
506  );
507 
509  void operator=(
510  const OrigIpoptNLP&
511  );
513 
515 
522  Number bound_relax_factor,
523  Vector& bounds
524  );
525 
528  const Vector& x
529  );
531 
533 
537 
540 
545 
550 
553 
556 
561 
566 
571 
576 
580 
582  Index f_evals_;
591 
594 
596  TimingStatistics& timing_statistics_;
599 };
600 
601 } // namespace Ipopt
602 
603 #endif
Ipopt::OrigIpoptNLP::InitializeStructures
virtual bool InitializeStructures(SmartPtr< Vector > &x, bool init_x, SmartPtr< Vector > &y_c, bool init_y_c, SmartPtr< Vector > &y_d, bool init_y_d, SmartPtr< Vector > &z_L, bool init_z_L, SmartPtr< Vector > &z_U, bool init_z_U, SmartPtr< Vector > &v_L, SmartPtr< Vector > &v_U)
Initialize (create) structures for the iteration data.
Ipopt::OrigIpoptNLP::d_cache_
CachedResults< SmartPtr< const Vector > > d_cache_
Inequality constraint residual (reformulated as equalities with slacks.
Definition: IpOrigIpoptNLP.hpp:438
Ipopt::OrigIpoptNLP::orig_d_L
virtual SmartPtr< const Vector > orig_d_L() const
Original unscaled lower bounds on d.
Definition: IpOrigIpoptNLP.hpp:249
Ipopt::OrigIpoptNLP::c_cache_
CachedResults< SmartPtr< const Vector > > c_cache_
Equality constraint residuals.
Definition: IpOrigIpoptNLP.hpp:428
Ipopt::OrigIpoptNLP::Px_L_
SmartPtr< const Matrix > Px_L_
Permutation matrix (x_L_ -> x)
Definition: IpOrigIpoptNLP.hpp:457
Ipopt::OrigIpoptNLP::pd_l_space_
SmartPtr< const MatrixSpace > pd_l_space_
Definition: IpOrigIpoptNLP.hpp:407
Ipopt::IpoptData
Class to organize all the data required by the algorithm.
Definition: IpIpoptData.hpp:98
Ipopt::OrigIpoptNLP::f
virtual Number f(const Vector &x)
Accessor methods for model data.
Ipopt::HessianApproximationType
HessianApproximationType
enumeration for the Hessian information type.
Definition: IpOrigIpoptNLP.hpp:19
Ipopt::EXACT
@ EXACT
Definition: IpOrigIpoptNLP.hpp:20
Ipopt::OrigIpoptNLP::x_u_space_
SmartPtr< const VectorSpace > x_u_space_
Definition: IpOrigIpoptNLP.hpp:404
Ipopt::OrigIpoptNLP::x_l_space_
SmartPtr< const VectorSpace > x_l_space_
Definition: IpOrigIpoptNLP.hpp:402
Ipopt::OrigIpoptNLP::scaled_jac_c_space_
SmartPtr< const MatrixSpace > scaled_jac_c_space_
Definition: IpOrigIpoptNLP.hpp:414
Ipopt::OrigIpoptNLP::x_space
virtual SmartPtr< const VectorSpace > x_space() const
x_space
Definition: IpOrigIpoptNLP.hpp:281
Ipopt::TimingStatistics
This class collects all timing statistics for Ipopt.
Definition: IpTimingStatistics.hpp:19
Ipopt::OrigIpoptNLP::hessian_constant_
bool hessian_constant_
Flag indicating if we need to ask for Hessian only once.
Definition: IpOrigIpoptNLP.hpp:578
Ipopt::OrigIpoptNLP::h_space_
SmartPtr< const SymMatrixSpace > h_space_
Definition: IpOrigIpoptNLP.hpp:412
Ipopt::OrigIpoptNLP::nlp
SmartPtr< NLP > nlp()
Accessor method to the underlying NLP.
Definition: IpOrigIpoptNLP.hpp:385
Ipopt::OrigIpoptNLP::check_derivatives_for_naninf_
bool check_derivatives_for_naninf_
Flag indicating whether it is desired to check if there are Nan or Inf entries in first and second de...
Definition: IpOrigIpoptNLP.hpp:560
Ipopt::LIMITED_MEMORY
@ LIMITED_MEMORY
Definition: IpOrigIpoptNLP.hpp:21
Ipopt::IpoptCalculatedQuantities
Class for all IPOPT specific calculated quantities.
Definition: IpIpoptCalculatedQuantities.hpp:87
Ipopt::OrigIpoptNLP::jac_d_space_
SmartPtr< const MatrixSpace > jac_d_space_
Definition: IpOrigIpoptNLP.hpp:411
Ipopt::OrigIpoptNLP::unscaled_x_cache_
CachedResults< SmartPtr< const Vector > > unscaled_x_cache_
Unscaled version of x vector.
Definition: IpOrigIpoptNLP.hpp:451
Ipopt::OrigIpoptNLP::Px_L
virtual SmartPtr< const Matrix > Px_L() const
Permutation matrix (x_L_ -> x)
Definition: IpOrigIpoptNLP.hpp:195
Ipopt
This file contains a base class for all exceptions and a set of macros to help with exceptions.
Definition: IpInexactAlgBuilder.hpp:14
Ipopt::OrigIpoptNLP::orig_d_U_
SmartPtr< const Vector > orig_d_U_
Original unmodified upper bounds on d.
Definition: IpOrigIpoptNLP.hpp:487
Ipopt::OrigIpoptNLP::bound_relax_factor_
Number bound_relax_factor_
relaxation factor for the bounds
Definition: IpOrigIpoptNLP.hpp:536
Ipopt::OrigIpoptNLP::Pd_L
virtual SmartPtr< const Matrix > Pd_L() const
Permutation matrix (d_L_ -> d)
Definition: IpOrigIpoptNLP.hpp:239
Ipopt::OrigIpoptNLP::GetWarmStartIterate
virtual bool GetWarmStartIterate(IteratesVector &warm_start_iterate)
Method accessing the GetWarmStartIterate of the NLP.
Definition: IpOrigIpoptNLP.hpp:105
Ipopt::OrigIpoptNLP::orig_d_U
virtual SmartPtr< const Vector > orig_d_U() const
Original unscaled upper bounds on d.
Definition: IpOrigIpoptNLP.hpp:271
Ipopt::OrigIpoptNLP::jac_c_cache_
CachedResults< SmartPtr< const Matrix > > jac_c_cache_
Jacobian Matrix for equality constraints (current iteration)
Definition: IpOrigIpoptNLP.hpp:433
Ipopt::OrigIpoptNLP::orig_x_U
virtual SmartPtr< const Vector > orig_x_U() const
Original unscaled upper bounds on x.
Definition: IpOrigIpoptNLP.hpp:227
Ipopt::HessianApproximationSpace
HessianApproximationSpace
enumeration for the Hessian approximation space.
Definition: IpOrigIpoptNLP.hpp:26
Ipopt::OrigIpoptNLP::d_U
virtual SmartPtr< const Vector > d_U() const
Scaled upper bounds on d.
Definition: IpOrigIpoptNLP.hpp:255
Ipopt::OrigIpoptNLP::h_evals
virtual Index h_evals() const
Definition: IpOrigIpoptNLP.hpp:340
Ipopt::OrigIpoptNLP::jac_c_space_
SmartPtr< const MatrixSpace > jac_c_space_
Definition: IpOrigIpoptNLP.hpp:410
Ipopt::OrigIpoptNLP::hessian_approximation_
HessianApproximationType hessian_approximation_
Flag indicating what Hessian information is to be used.
Definition: IpOrigIpoptNLP.hpp:552
Ipopt::OrigIpoptNLP::initialized_
bool initialized_
Flag indicating if initialization method has been called.
Definition: IpOrigIpoptNLP.hpp:593
IPOPTLIB_EXPORT
#define IPOPTLIB_EXPORT
Definition: config_default.h:10
Ipopt::OrigIpoptNLP::grad_f_evals_
Index grad_f_evals_
Definition: IpOrigIpoptNLP.hpp:584
Ipopt::OrigIpoptNLP::h_evals_
Index h_evals_
Definition: IpOrigIpoptNLP.hpp:589
Ipopt::OrigIpoptNLP::x_L_
SmartPtr< const Vector > x_L_
Lower bounds on x.
Definition: IpOrigIpoptNLP.hpp:454
Ipopt::OrigIpoptNLP::OrigIpoptNLP
OrigIpoptNLP()
Default Constructor.
Ipopt::OrigIpoptNLP::px_u_space_
SmartPtr< const MatrixSpace > px_u_space_
Definition: IpOrigIpoptNLP.hpp:405
Ipopt::OrigIpoptNLP::grad_f
virtual SmartPtr< const Vector > grad_f(const Vector &x, Number mu)
Gradient of the objective (depending in mu) - incorrect version for OrigIpoptNLP.
Ipopt::OrigIpoptNLP::OrigIpoptNLP
OrigIpoptNLP(const OrigIpoptNLP &)
Copy Constructor.
Ipopt::OrigIpoptNLP::jac_c_evals_
Index jac_c_evals_
Definition: IpOrigIpoptNLP.hpp:586
Ipopt::OrigIpoptNLP::honor_original_bounds_
bool honor_original_bounds_
Flag indicating whether the primal variables should be projected back into original bounds are optimi...
Definition: IpOrigIpoptNLP.hpp:544
Ipopt::OrigIpoptNLP::constr_viol_tol_
Number constr_viol_tol_
constraint violation tolerance (from OptimalityErrorConvergenceCheck)
Definition: IpOrigIpoptNLP.hpp:539
Ipopt::OrigIpoptNLP::jac_d_evals
virtual Index jac_d_evals() const
Definition: IpOrigIpoptNLP.hpp:336
Ipopt::SmartPtr
Template class for Smart Pointers.
Definition: IpSmartPtr.hpp:165
Ipopt::OrigIpoptNLP::h_cache_
CachedResults< SmartPtr< const SymMatrix > > h_cache_
Hessian of the lagrangian (current iteration)
Definition: IpOrigIpoptNLP.hpp:448
Ipopt::OrigIpoptNLP::f_cache_
CachedResults< Number > f_cache_
Objective function.
Definition: IpOrigIpoptNLP.hpp:422
Ipopt::OrigIpoptNLP::c_evals_
Index c_evals_
Definition: IpOrigIpoptNLP.hpp:585
Ipopt::OrigIpoptNLP::jnlst_
SmartPtr< const Journalist > jnlst_
Journalist.
Definition: IpOrigIpoptNLP.hpp:392
Ipopt::OrigIpoptNLP::d_evals_
Index d_evals_
Definition: IpOrigIpoptNLP.hpp:587
Ipopt::OrigIpoptNLP::~OrigIpoptNLP
virtual ~OrigIpoptNLP()
Destructor.
Ipopt::OrigIpoptNLP::nlp_
SmartPtr< NLP > nlp_
Pointer to the NLP.
Definition: IpOrigIpoptNLP.hpp:395
Ipopt::OrigIpoptNLP::jac_d_cache_
CachedResults< SmartPtr< const Matrix > > jac_d_cache_
Jacobian Matrix for inequality constraints (current iteration)
Definition: IpOrigIpoptNLP.hpp:443
Ipopt::Index
ipindex Index
Type of all indices of vectors, matrices etc.
Definition: IpTypes.hpp:20
Ipopt::OrigIpoptNLP::jac_d_evals_
Index jac_d_evals_
Definition: IpOrigIpoptNLP.hpp:588
IpTimingStatistics.hpp
Ipopt::OrigIpoptNLP::jac_c_evals
virtual Index jac_c_evals() const
Definition: IpOrigIpoptNLP.hpp:328
Ipopt::OrigIpoptNLP::OrigIpoptNLP
OrigIpoptNLP(const SmartPtr< const Journalist > &jnlst, const SmartPtr< NLP > &nlp, const SmartPtr< NLPScalingObject > &nlp_scaling, TimingStatistics &timing_statistics)
Constructor.
Ipopt::OrigIpoptNLP::Pd_L_
SmartPtr< const Matrix > Pd_L_
Permutation matrix (d_L_ -> d)
Definition: IpOrigIpoptNLP.hpp:469
Ipopt::OrigIpoptNLP::RegisterOptions
static void RegisterOptions(SmartPtr< RegisteredOptions > roptions)
Called to register the options.
Ipopt::Number
ipnumber Number
Type of all numbers.
Definition: IpTypes.hpp:17
Ipopt::OrigIpoptNLP::GetSpaces
virtual void GetSpaces(SmartPtr< const VectorSpace > &x_space, SmartPtr< const VectorSpace > &c_space, SmartPtr< const VectorSpace > &d_space, SmartPtr< const VectorSpace > &x_l_space, SmartPtr< const MatrixSpace > &px_l_space, SmartPtr< const VectorSpace > &x_u_space, SmartPtr< const MatrixSpace > &px_u_space, SmartPtr< const VectorSpace > &d_l_space, SmartPtr< const MatrixSpace > &pd_l_space, SmartPtr< const VectorSpace > &d_u_space, SmartPtr< const MatrixSpace > &pd_u_space, SmartPtr< const MatrixSpace > &Jac_c_space, SmartPtr< const MatrixSpace > &Jac_d_space, SmartPtr< const SymMatrixSpace > &Hess_lagrangian_space)
Accessor method for vector/matrix spaces pointers.
Ipopt::CachedResults< Number >
Ipopt::OrigIpoptNLP::Px_U_
SmartPtr< const Matrix > Px_U_
Permutation matrix (x_U_ -> x)
Definition: IpOrigIpoptNLP.hpp:463
Ipopt::OrigIpoptNLP::h
virtual SmartPtr< const SymMatrix > h(const Vector &x, Number obj_factor, const Vector &yc, const Vector &yd)
Hessian of the Lagrangian.
Ipopt::OrigIpoptNLP::orig_d_L_
SmartPtr< const Vector > orig_d_L_
Original unmodified lower bounds on d.
Definition: IpOrigIpoptNLP.hpp:484
Ipopt::OrigIpoptNLP::f
virtual Number f(const Vector &x, Number mu)
Objective value (depending in mu) - incorrect version for OrigIpoptNLP.
Ipopt::OrigIpoptNLP::d_evals
virtual Index d_evals() const
Definition: IpOrigIpoptNLP.hpp:332
Ipopt::OrigIpoptNLP
This class maps the traditional NLP into something that is more useful for Ipopt.
Definition: IpOrigIpoptNLP.hpp:66
Ipopt::OrigIpoptNLP::d_l_space_
SmartPtr< const VectorSpace > d_l_space_
Definition: IpOrigIpoptNLP.hpp:406
Ipopt::Journalist
Class responsible for all message output.
Definition: IpJournalist.hpp:117
Ipopt::OrigIpoptNLP::d_u_space_
SmartPtr< const VectorSpace > d_u_space_
Definition: IpOrigIpoptNLP.hpp:408
Ipopt::OrigIpoptNLP::grad_f_cache_
CachedResults< SmartPtr< const Vector > > grad_f_cache_
Gradient of the objective function.
Definition: IpOrigIpoptNLP.hpp:425
Ipopt::OrigIpoptNLP::grad_f_constant_
bool grad_f_constant_
Flag indicating if we need to ask for objective Gradient only once.
Definition: IpOrigIpoptNLP.hpp:565
Ipopt::OrigIpoptNLP::orig_x_L_
SmartPtr< const Vector > orig_x_L_
Original unmodified lower bounds on x.
Definition: IpOrigIpoptNLP.hpp:478
Ipopt::OrigIpoptNLP::HessianMatrixSpace
virtual SmartPtr< const SymMatrixSpace > HessianMatrixSpace() const
Accessor method to obtain the MatrixSpace for the Hessian matrix (or it's approximation)
Definition: IpOrigIpoptNLP.hpp:276
Ipopt::OrigIpoptNLP::x_U
virtual SmartPtr< const Vector > x_U() const
Scaled upper bounds on x.
Definition: IpOrigIpoptNLP.hpp:211
Ipopt::ALL_VARS
@ ALL_VARS
Definition: IpOrigIpoptNLP.hpp:28
Ipopt::OrigIpoptNLP::AdjustVariableBounds
virtual void AdjustVariableBounds(const Vector &new_x_L, const Vector &new_x_U, const Vector &new_d_L, const Vector &new_d_U)
Method for adapting the variable bounds.
Ipopt::OrigIpoptNLP::d_space_
SmartPtr< const VectorSpace > d_space_
Definition: IpOrigIpoptNLP.hpp:401
Ipopt::OrigIpoptNLP::uninitialized_h
virtual SmartPtr< const SymMatrix > uninitialized_h()
Provides a Hessian matrix from the correct matrix space with uninitialized values.
Ipopt::OrigIpoptNLP::IntermediateCallBack
bool IntermediateCallBack(AlgorithmMode mode, Index iter, Number obj_value, Number inf_pr, Number inf_du, Number mu, Number d_norm, Number regularization_size, Number alpha_du, Number alpha_pr, Index ls_trials, SmartPtr< const IpoptData > ip_data, SmartPtr< IpoptCalculatedQuantities > ip_cq)
Ipopt::OrigIpoptNLP::scaled_jac_d_space_
SmartPtr< const MatrixSpace > scaled_jac_d_space_
Definition: IpOrigIpoptNLP.hpp:415
Ipopt::OrigIpoptNLP::d_L
virtual SmartPtr< const Vector > d_L() const
Scaled lower bounds on d.
Definition: IpOrigIpoptNLP.hpp:233
Ipopt::OrigIpoptNLP::grad_f_evals
virtual Index grad_f_evals() const
Definition: IpOrigIpoptNLP.hpp:320
Ipopt::OrigIpoptNLP::d
virtual SmartPtr< const Vector > d(const Vector &x)
Inequality constraint residual (reformulated as equalities with slacks)
Ipopt::OrigIpoptNLP::c_evals
virtual Index c_evals() const
Definition: IpOrigIpoptNLP.hpp:324
Ipopt::OrigIpoptNLP::operator=
void operator=(const OrigIpoptNLP &)
Overloaded Assignment Operator.
Ipopt::OrigIpoptNLP::Px_U
virtual SmartPtr< const Matrix > Px_U() const
Permutation matrix (x_U_ -> x)
Definition: IpOrigIpoptNLP.hpp:217
Ipopt::OrigIpoptNLP::h
virtual SmartPtr< const SymMatrix > h(const Vector &x, Number obj_factor, const Vector &yc, const Vector &yd, Number mu)
Hessian of the Lagrangian (depending in mu) - incorrect version for OrigIpoptNLP.
Ipopt::OrigIpoptNLP::hessian_approximation_space_
HessianApproximationSpace hessian_approximation_space_
Flag indicating in which space Hessian is to be approximated.
Definition: IpOrigIpoptNLP.hpp:555
IpException.hpp
Ipopt::OrigIpoptNLP::jac_d_constant_
bool jac_d_constant_
Flag indicating if we need to ask for inequality constraint Jacobians only once.
Definition: IpOrigIpoptNLP.hpp:575
Ipopt::OrigIpoptNLP::Pd_U
virtual SmartPtr< const Matrix > Pd_U() const
Permutation matrix (d_U_ -> d)
Definition: IpOrigIpoptNLP.hpp:261
Ipopt::SolverReturn
SolverReturn
enum for the return from the optimize algorithm
Definition: IpAlgTypes.hpp:20
Ipopt::OrigIpoptNLP::grad_f
virtual SmartPtr< const Vector > grad_f(const Vector &x)
Gradient of the objective.
Ipopt::OrigIpoptNLP::px_l_space_
SmartPtr< const MatrixSpace > px_l_space_
Definition: IpOrigIpoptNLP.hpp:403
Ipopt::OrigIpoptNLP::c_space_
SmartPtr< const VectorSpace > c_space_
Definition: IpOrigIpoptNLP.hpp:400
Ipopt::OrigIpoptNLP::c
virtual SmartPtr< const Vector > c(const Vector &x)
Equality constraint residual.
Ipopt::OrigIpoptNLP::d_U_
SmartPtr< const Vector > d_U_
Upper bounds on d.
Definition: IpOrigIpoptNLP.hpp:472
Ipopt::OptionsList
This class stores a list of user set options.
Definition: IpOptionsList.hpp:33
Ipopt::NONLINEAR_VARS
@ NONLINEAR_VARS
Definition: IpOrigIpoptNLP.hpp:27
Ipopt::OrigIpoptNLP::jac_c
virtual SmartPtr< const Matrix > jac_c(const Vector &x)
Jacobian Matrix for equality constraints.
Ipopt::OrigIpoptNLP::scaled_h_space_
SmartPtr< const SymMatrixSpace > scaled_h_space_
Definition: IpOrigIpoptNLP.hpp:416
Ipopt::OrigIpoptNLP::jac_c_constant_
bool jac_c_constant_
Flag indicating if we need to ask for equality constraint Jacobians only once.
Definition: IpOrigIpoptNLP.hpp:570
Ipopt::OrigIpoptNLP::Pd_U_
SmartPtr< const Matrix > Pd_U_
Permutation matrix (d_U_ -> d)
Definition: IpOrigIpoptNLP.hpp:475
IpIpoptNLP.hpp
Ipopt::OrigIpoptNLP::orig_x_U_
SmartPtr< const Vector > orig_x_U_
Original unmodified upper bounds on x.
Definition: IpOrigIpoptNLP.hpp:481
Ipopt::OrigIpoptNLP::pd_u_space_
SmartPtr< const MatrixSpace > pd_u_space_
Definition: IpOrigIpoptNLP.hpp:409
Ipopt::OrigIpoptNLP::Initialize
virtual bool Initialize(const Journalist &jnlst, const OptionsList &options, const std::string &prefix)
Initialization method.
Ipopt::OrigIpoptNLP::orig_x_L
virtual SmartPtr< const Vector > orig_x_L() const
Original unscaled lower bounds on x.
Definition: IpOrigIpoptNLP.hpp:205
Ipopt::OrigIpoptNLP::d_L_
SmartPtr< const Vector > d_L_
Lower bounds on d.
Definition: IpOrigIpoptNLP.hpp:466
Ipopt::OrigIpoptNLP::x_L
virtual SmartPtr< const Vector > x_L() const
Scaled lower bounds on x.
Definition: IpOrigIpoptNLP.hpp:189
AlgorithmMode
AlgorithmMode
enum to indicate the mode in which the algorithm is
Definition: IpReturnCodes_inc.h:42
Ipopt::Vector
Vector Base Class.
Definition: IpVector.hpp:48
Ipopt::OrigIpoptNLP::relax_bounds
void relax_bounds(Number bound_relax_factor, Vector &bounds)
relax the bounds by a relative move of relax_bound_factor.
Ipopt::IpoptNLP
This is the abstract base class for classes that map the traditional NLP into something that is more ...
Definition: IpIpoptNLP.hpp:36
Ipopt::OrigIpoptNLP::warm_start_same_structure_
bool warm_start_same_structure_
Flag indicating whether the TNLP with identical structure has already been solved before.
Definition: IpOrigIpoptNLP.hpp:549
Ipopt::IteratesVector
Specialized CompoundVector class specifically for the algorithm iterates.
Definition: IpIteratesVector.hpp:26
Ipopt::OrigIpoptNLP::get_unscaled_x
SmartPtr< const Vector > get_unscaled_x(const Vector &x)
Method for getting the unscaled version of the x vector.
Ipopt::OrigIpoptNLP::jac_d
virtual SmartPtr< const Matrix > jac_d(const Vector &x)
Jacobian Matrix for inequality constraints.
Ipopt::OrigIpoptNLP::x_U_
SmartPtr< const Vector > x_U_
Upper bounds on x.
Definition: IpOrigIpoptNLP.hpp:460