/dports/math/py-Pyomo/Pyomo-6.1.2/pyomo/contrib/gdpopt/tests/ |
H A D | test_gdpopt.py | 192 nlp_solver=nlp_solver 206 nlp_solver=nlp_solver 218 nlp_solver=nlp_solver, 243 nlp_solver=nlp_solver, 256 nlp_solver=nlp_solver) 269 nlp_solver=nlp_solver, 286 nlp_solver=nlp_solver) 298 nlp_solver=nlp_solver) 323 nlp_solver=nlp_solver) 403 nlp_solver=nlp_solver [all …]
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/dports/math/py-Pyomo/Pyomo-6.1.2/pyomo/contrib/mindtpy/tests/ |
H A D | test_mindtpy.py | 83 nlp_solver=required_solvers[0], 99 nlp_solver=required_solvers[0], 111 nlp_solver=required_solvers[0], 128 nlp_solver=required_solvers[0], 145 nlp_solver=required_solvers[0], 161 nlp_solver=required_solvers[0], 177 nlp_solver=required_solvers[0], 192 nlp_solver=required_solvers[0], 269 nlp_solver=required_solvers[0] 280 nlp_solver=required_solvers[0] [all …]
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H A D | test_mindtpy_regularization.py | 57 nlp_solver=required_solvers[0], 71 nlp_solver=required_solvers[0], 85 nlp_solver=required_solvers[0], 99 nlp_solver=required_solvers[0], 113 nlp_solver=required_solvers[0], 127 nlp_solver=required_solvers[0], 141 nlp_solver=required_solvers[0], 155 nlp_solver=required_solvers[0], 171 nlp_solver=required_solvers[0], 188 nlp_solver=required_solvers[0],
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H A D | test_mindtpy_lp_nlp.py | 59 nlp_solver=required_nlp_solvers, 75 nlp_solver=required_nlp_solvers, 90 nlp_solver=required_nlp_solvers, 106 nlp_solver=required_nlp_solvers, 122 nlp_solver=required_nlp_solvers, 138 nlp_solver=required_nlp_solvers, 154 nlp_solver=required_nlp_solvers, 170 nlp_solver=required_nlp_solvers, 186 nlp_solver=required_nlp_solvers,
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H A D | test_mindtpy_ECP.py | 52 nlp_solver=required_solvers[0], 67 nlp_solver=required_solvers[0],
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H A D | test_mindtpy_feas_pump.py | 63 nlp_solver=required_solvers[0], 75 nlp_solver=required_solvers[0],
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H A D | test_mindtpy_global.py | 54 nlp_solver=required_solvers[0]) 67 nlp_solver=required_solvers[0],
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H A D | test_mindtpy_global_lp_nlp.py | 59 nlp_solver=required_solvers[0], 73 nlp_solver=required_solvers[0],
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H A D | unit_test.py | 293 config.nlp_solver = 'gams'
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/dports/math/casadi/casadi-3.5.5/docs/examples/matlab/ |
H A D | lotka_volterra_minlp.m | 151 nlp_solver = nlpsol('nlp_solver', 'bonmin', nlp_prob, struct('discrete', discrete)); variable 152 %nlp_solver = nlpsol('nlp_solver', 'knitro', nlp_prob, {"discrete": discrete}); 153 %nlp_solver = nlpsol('nlp_solver', 'ipopt', nlp_prob); % Solve relaxed problem 162 sol = nlp_solver('x0',w0, 'lbx',lbw, 'ubx',ubw, 'lbg',lbg, 'ubg',ubg);
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/dports/math/casadi/casadi-3.5.5/docs/examples/python/ |
H A D | lotka_volterra_minlp.py | 146 nlp_solver = nlpsol('nlp_solver', 'bonmin', nlp_prob, {"discrete": discrete}); variable 168 sol = nlp_solver(x0=vertcat(*w0), lbx=lbw, ubx=ubw, lbg=lbg, ubg=ubg) 170 print(nlp_solver.stats())
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/dports/math/py-Pyomo/Pyomo-6.1.2/pyomo/contrib/gdpopt/ |
H A D | nlp_solve.py | 114 nlp_solver = SolverFactory(config.nlp_solver) 115 if not nlp_solver.available(): 117 config.nlp_solver) 123 if config.nlp_solver == 'gams': 126 elif config.nlp_solver == 'multisolve': 128 results = nlp_solver.solve(nlp_model, **nlp_args)
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H A D | GDPopt.py | 200 nlp=config.nlp_solver,
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H A D | util.py | 97 "Using NLP solver %s to solve." % config.nlp_solver) 98 results = SolverFactory(config.nlp_solver).solve(
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/dports/math/py-Pyomo/Pyomo-6.1.2/pyomo/contrib/mindtpy/ |
H A D | config_options.py | 466 if config.nlp_solver == 'baron': 468 if config.nlp_solver == 'gams' and config.nlp_solver.__contains__('solver'):
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H A D | util.py | 71 'Using NLP solver %s to solve.' % config.nlp_solver) 72 nlpopt = SolverFactory(config.nlp_solver) 446 solver_name = config.nlp_solver 601 if config.nlp_solver == 'ipopt':
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H A D | nlp_solve.py | 106 nlpopt = SolverFactory(config.nlp_solver) 387 nlpopt = SolverFactory(config.nlp_solver)
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H A D | initialization.py | 125 nlpopt = SolverFactory(config.nlp_solver)
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H A D | feasibility_pump.py | 89 nlpopt = SolverFactory(config.nlp_solver)
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H A D | mip_solve.py | 127 if config.nlp_solver == 'ipopt':
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/dports/math/py-Pyomo/Pyomo-6.1.2/pyomo/contrib/pyros/ |
H A D | uncertainty_sets.py | 1067 def is_empty_intersection(self, uncertain_params, nlp_solver): argument 1094 res = nlp_solver.solve(m) 1134 nlp_solver = kwargs["config"].global_solver 1138 …intersection = self.is_empty_intersection(uncertain_params=uncertain_params, nlp_solver=nlp_solver)
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/dports/math/SCIP/scip-7.0.3/src/scip/ |
H A D | struct_set.h | 353 char* nlp_solver; /**< name of NLP solver to use */ member
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H A D | nlp.c | 5108 assert(set->nlp_solver != NULL); in SCIPnlpCreate() 5109 if( set->nlp_solver[0] == '\0' ) in SCIPnlpCreate() 5121 (*nlp)->solver = SCIPsetFindNlpi(set, set->nlp_solver); in SCIPnlpCreate() 5124 SCIPerrorMessage("Selected NLP solver <%s> not available.\n", set->nlp_solver); in SCIPnlpCreate()
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/dports/math/bonmin/Bonmin-releases-1.8.8/Bonmin/test/ |
H A D | bonmin.opt | 64 bonmin.nlp_solver Ipopt #Choice of the solver for local optima of c…
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/dports/math/bonmin/Bonmin-releases-1.8.8/Bonmin/doc/option_pages/ |
H A D | options_list_bonmin_content.tex | 363 <td>nlp_solver</td> 1158 \paragraph{nlp\_solver:}\label{opt:nlp_solver} Choice of the solver for local optima of continuous …
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