#include <NLPInterfacePack_NLPWBCounterExample.hpp>
Inheritance diagram for NLPInterfacePack::NLPWBCounterExample:
Constructors / initializers | |
| NLPWBCounterExample (value_type xinit[3], value_type a=0.0, value_type b=1.0, bool nlp_selects_basis=true, bool linear_obj=true) | |
| Constructor. | |
Overridden public members from NLP | |
| void | initialize (bool test_setup) |
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| bool | is_initialized () const |
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| value_type | max_var_bounds_viol () const |
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Overridden from NLPVarReductPerm | |
| bool | nlp_selects_basis () const |
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Overridden protected methods from NLPSerialPreprocess | |
| bool | imp_nlp_has_changed () const |
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| size_type | imp_n_orig () const |
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| size_type | imp_m_orig () const |
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| size_type | imp_mI_orig () const |
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| const DVectorSlice | imp_xinit_orig () const |
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| bool | imp_has_var_bounds () const |
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| const DVectorSlice | imp_xl_orig () const |
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| const DVectorSlice | imp_xu_orig () const |
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| const DVectorSlice | imp_hl_orig () const |
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| const DVectorSlice | imp_hu_orig () const |
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| void | imp_calc_f_orig (const DVectorSlice &x_full, bool newx, const ZeroOrderInfoSerial &zero_order_info) const |
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| void | imp_calc_c_orig (const DVectorSlice &x_full, bool newx, const ZeroOrderInfoSerial &zero_order_info) const |
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| void | imp_calc_h_orig (const DVectorSlice &x_full, bool newx, const ZeroOrderInfoSerial &zero_order_info) const |
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| void | imp_calc_Gf_orig (const DVectorSlice &x_full, bool newx, const ObjGradInfoSerial &obj_grad_info) const |
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| bool | imp_get_next_basis (IVector *var_perm_full, IVector *equ_perm_full, size_type *rank_full, size_type *rank) |
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| void | imp_report_orig_final_solution (const DVectorSlice &x_orig, const DVectorSlice *lambda_orig, const DVectorSlice *lambdaI_orig, const DVectorSlice *nu_orig, bool is_optimal) const |
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Overridden protected methods from NLPSerialPreprocessExplJac | |
| size_type | imp_Gc_nz_orig () const |
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| size_type | imp_Gh_nz_orig () const |
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| void | imp_calc_Gc_orig (const DVectorSlice &x_full, bool newx, const FirstOrderExplInfo &first_order_expl_info) const |
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| void | imp_calc_Gh_orig (const DVectorSlice &x_full, bool newx, const FirstOrderExplInfo &first_order_expl_info) const |
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The Waechter & Biegler counter example NLP is defined as:
min f(x)
s.t.
c(1) = x(1)^2 - x(2) + a = 0
c(2) = x(1) - x(3) - b = 0
x(2),x(3) >= 0
where:
b >= 0
and where a and b are constants. In the counter example, the form of the objective function f(x) is not important, but we have to specify one here in order to have MOOCHO solve the problem. So we will specify the objective function as
/ x(1) : if linear_obj == true
f(x) = |
\ 0.5*x(1)^2 : if linear_obj == false
linear_obj (in the constructor).
Note that an excellent basis selection is for x(2) and x(3) to be in the basis since this gives the basis matrix of C = -I.
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Constructor.
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Reimplemented from NLPInterfacePack::NLPSerialPreprocessExplJac. |
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Reimplemented from NLPInterfacePack::NLPSerialPreprocessExplJac. |
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Implements NLPInterfacePack::NLP. |
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Reimplemented from NLPInterfacePack::NLPSerialPreprocess. |
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Reimplemented from NLPInterfacePack::NLPSerialPreprocess. |
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Implements NLPInterfacePack::NLPSerialPreprocess. |
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Implements NLPInterfacePack::NLPSerialPreprocess. |
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Implements NLPInterfacePack::NLPSerialPreprocess. |
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Implements NLPInterfacePack::NLPSerialPreprocess. |
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Implements NLPInterfacePack::NLPSerialPreprocess. |
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Implements NLPInterfacePack::NLPSerialPreprocess. |
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Implements NLPInterfacePack::NLPSerialPreprocess. |
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Implements NLPInterfacePack::NLPSerialPreprocess. |
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Implements NLPInterfacePack::NLPSerialPreprocess. |
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Implements NLPInterfacePack::NLPSerialPreprocess. |
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Implements NLPInterfacePack::NLPSerialPreprocess. |
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Implements NLPInterfacePack::NLPSerialPreprocess. |
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Implements NLPInterfacePack::NLPSerialPreprocess. |
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Reimplemented from NLPInterfacePack::NLPSerialPreprocess. |
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Implements NLPInterfacePack::NLPSerialPreprocessExplJac. |
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Implements NLPInterfacePack::NLPSerialPreprocessExplJac. |
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Implements NLPInterfacePack::NLPSerialPreprocessExplJac. |
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Implements NLPInterfacePack::NLPSerialPreprocessExplJac. |
1.3.9.1