| /dports/graphics/py-urbansim/urbansim-3.2/urbansim/developer/ |
| H A D | developer.py | 17 def __init__(self, feasibility): argument
18 if isinstance(feasibility, dict):
19 feasibility = pd.concat(feasibility.values(), keys=feasibility.keys(), axis=1)
20 self.feasibility = feasibility
62 f = self.feasibility
168 if len(self.feasibility) == 0:
173 df = self.feasibility
177 df = self.feasibility[form]
227 self.feasibility = self.feasibility.drop(build_idx)
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| /dports/math/cbc/Cbc-releases-2.10.5/Cbc/src/ |
| H A D | CbcHeuristicRandRound.cpp | 306 bool feasibility = 1; in solution() local
328 feasibility = 1; in solution()
333 feasibility = 0; in solution()
339 if (feasibility) { in solution()
346 feasibility = 0; in solution()
360 if (feasibility) { in solution()
437 feasibility = 1; in solution()
444 feasibility = 0; in solution()
448 feasibility = 0; in solution()
452 feasibility = 0; in solution()
[all …]
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| H A D | CbcHeuristicPivotAndFix.cpp | 323 double feasibility = 1; in solution() local
328 feasibility = 0; in solution()
338 feasibility = 0; in solution()
342 feasibility = 0; in solution()
346 feasibility = 0; in solution()
355 if (feasibility) { in solution()
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| /dports/math/optpp/optpp-2.4/tests/constraints/ |
| H A D | tstcompound.C | 107 bool feasibility; in PrintConstr() local
117 feasibility = eqn.amIFeasible(x,eps); in PrintConstr()
127 if(feasibility) in PrintConstr()
143 bool feasibility = eqn.amIFeasible(x,eps); in PrintCompConstr() local
153 if(feasibility) in PrintCompConstr()
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| /dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/OPTPP/tests/constraints/ |
| H A D | tstcompound.C | 107 bool feasibility; in PrintConstr() local
117 feasibility = eqn.amIFeasible(x,eps); in PrintConstr()
127 if(feasibility) in PrintConstr()
143 bool feasibility = eqn.amIFeasible(x,eps); in PrintCompConstr() local
153 if(feasibility) in PrintCompConstr()
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| /dports/math/py-deap/deap-1.3.1/deap/tools/ |
| H A D | constraint.py | 41 def __init__(self, feasibility, delta, distance=None): argument
42 self.fbty_fct = feasibility
100 def __init__(self, feasibility, feasible, alpha, distance=None): argument
101 self.fbty_fct = feasibility
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| /dports/math/SCIP/scip-7.0.3/check/coverage/settings/ |
| H A D | minlp.set | 3 # feasibility tolerance factor; for checking the feasibility of the best solution
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| H A D | undercover1.set | 7 # feasibility tolerance factor; for checking the feasibility of the best solution
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| H A D | rensnlp.set | 7 # feasibility tolerance factor; for checking the feasibility of the best solution
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| H A D | bilinrelax.set | 3 # feasibility tolerance factor; for checking the feasibility of the best solution
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| H A D | nlpdiving4.set | 7 # feasibility tolerance factor; for checking the feasibility of the best solution
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| H A D | undercover2.set | 11 # feasibility tolerance factor; for checking the feasibility of the best solution
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| H A D | bivariate.set | 11 # feasibility tolerance factor; for checking the feasibility of the best solution
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| H A D | nlpdiving2.set | 11 # feasibility tolerance factor; for checking the feasibility of the best solution
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| H A D | nlpdivingsolvesubmip.set | 11 # feasibility tolerance factor; for checking the feasibility of the best solution
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| H A D | nlpdiving1-relprop.set | 11 # feasibility tolerance factor; for checking the feasibility of the best solution
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| H A D | nlpdiving3.set | 15 # feasibility tolerance factor; for checking the feasibility of the best solution
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| /dports/math/symphony/SYMPHONY-releases-5.6.17/SYMPHONY/Doc/ |
| H A D | lploop.fig | 58 4 1 0 50 0 0 14 0.0000 4 195 1530 2700 2400 Test for feasibility\001
111 4 1 0 50 0 0 14 0.0000 4 195 1530 6150 2925 Restore feasibility\001
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| /dports/math/py-Pyomo/Pyomo-6.1.2/pyomo/contrib/pynumero/examples/tests/ |
| H A D | test_examples.py | 21 feasibility,
36 is_feasible = feasibility.main()
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| /dports/math/qposases/qpOASES-3.2.1/testing/matlab/auxFiles/ |
| H A D | getKktResidual.m | 51 %% check primal feasibility and complementarity
55 % feasibility
98 % feasibility
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| /dports/misc/dartsim/dart-6.11.1/data/etc/ |
| H A D | fort.4 | 23 Major feasibility tolerance 1.0e-5
25 Minor feasibility tolerance 1.0e-4
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| /dports/math/SCIP/scip-7.0.3/src/scip/ |
| H A D | pricestore.c | 423 SCIP_Real feasibility; in SCIPpricestoreAddProbVars() local
438 feasibility = -SCIPcolGetFarkasValue(col, stat, lp); in SCIPpricestoreAddProbVars()
439 … SCIPsetDebugMsg(set, " <%s> Farkas feasibility: %e\n", SCIPvarGetName(col->var), feasibility); in SCIPpricestoreAddProbVars()
448 feasibility = SCIPcolGetFeasibility(col, set, stat, lp); in SCIPpricestoreAddProbVars()
449 …IPsetDebugMsg(set, " <%s> reduced cost feasibility: %e\n", SCIPvarGetName(col->var), feasibility); in SCIPpricestoreAddProbVars()
453 if( !SCIPsetIsPositive(set, feasibility) ) in SCIPpricestoreAddProbVars()
455 …L( SCIPpricestoreAddVar(pricestore, blkmem, set, eventqueue, lp, var, -feasibility / (col->len+1),… in SCIPpricestoreAddProbVars()
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| /dports/science/dakota/dakota-6.13.0-release-public.src-UI/docs/KeywordMetadata/ |
| H A D | method-nowpac | 5 …feasibility, it does not support linear or nonlinear \e equality constraints. As opposed to the s…
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| /dports/math/symphony/SYMPHONY-releases-5.6.17/SYMPHONY/Applications/SPP/src/Master/ |
| H A D | spp_master.c | 144 spp->feasibility = SPP_FEASIBILITY_NOT_KNOWN; in user_io()
252 if (spp->feasibility == SPP_FEASIBLE && cost >= spp->feas_value) in user_receive_feasible_solution()
255 spp->feasibility = SPP_FEASIBLE; in user_receive_feasible_solution()
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| /dports/math/scilab/scilab-6.1.1/scilab/modules/optimization/tests/nonreg_tests/ |
| H A D | bug_1456.dia.ref | 20 -->// Z0 does not satisfy equality conditions for dual feasibility.
36 Z0 does not satisfy equality conditions for dual feasibility.
|