msppy
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Build the true problem
Discretize the true problem
Solve the true problem
Evaluate the obtained policy
Real world applications
msppy
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Index
A
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B
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C
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D
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E
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F
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G
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M
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N
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P
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R
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S
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W
A
add_continuous_uncertainty() (in module msppy.msp.StochasticModel)
add_Markovian_uncertainty() (in module msppy.msp.MSLP)
add_MC_uncertainty() (in module msppy.msp.MSLP)
addConstr() (in module msppy.msp.StochasticModel)
addConstrs() (in module msppy.msp.StochasticModel)
addStateVar() (in module msppy.msp.StochasticModel)
addStateVars() (in module msppy.msp.StochasticModel)
addVar() (in module msppy.msp.StochasticModel)
addVars() (in module msppy.msp.StochasticModel)
B
binarize() (in module msppy.msp.MSIP)
bounds (msppy.solver.SDDP attribute)
C
CI (msppy.evaluation.Evaluation attribute)
(msppy.evaluation.EvaluationTrue attribute)
construction_time (msppy.solver.Extensive attribute)
D
db (msppy.evaluation.Evaluation attribute)
(msppy.evaluation.EvaluationTrue attribute)
discretize() (in module msppy.msp.MSLP)
E
epv (msppy.evaluation.Evaluation attribute)
(msppy.evaluation.EvaluationTrue attribute)
Evaluation (class in msppy.evaluation)
EvaluationTrue (class in msppy.evaluation)
Extensive (class in msppy.solver)
extensive_model (msppy.solver.Extensive attribute)
F
first_stage_solution (msppy.solver.Extensive attribute)
(msppy.solver.SDDP attribute)
G
gap (msppy.evaluation.Evaluation attribute)
(msppy.evaluation.EvaluationTrue attribute)
M
markovian_idx (msppy.evaluation.Evaluation attribute)
(msppy.evaluation.EvaluationTrue attribute)
markovian_samples (msppy.evaluation.Evaluation attribute)
(msppy.evaluation.EvaluationTrue attribute)
MSIP (class in msppy.msp)
MSLP (class in msppy.msp)
msppy.evaluation (module)
msppy.solver (module)
N
n_sample_paths (msppy.evaluation.Evaluation attribute)
(msppy.evaluation.EvaluationTrue attribute)
P
plot_bounds() (msppy.solver.SDDP method)
PSDDiP (class in msppy.solver)
PSDDP (class in msppy.solver)
pv (msppy.evaluation.Evaluation attribute)
(msppy.evaluation.EvaluationTrue attribute)
R
run() (msppy.evaluation.Evaluation method)
(msppy.evaluation.EvaluationTrue method)
S
sample_paths_idx (msppy.evaluation.Evaluation attribute)
(msppy.evaluation.EvaluationTrue attribute)
SDDiP (class in msppy.solver)
SDDP (class in msppy.solver)
set_AVaR() (in module msppy.msp.MSLP)
set_probability() (in module msppy.msp.StochasticModel)
solution (msppy.evaluation.Evaluation attribute)
(msppy.evaluation.EvaluationTrue attribute)
solve() (msppy.solver.Extensive method)
(msppy.solver.PSDDP method)
(msppy.solver.SDDP method)
(msppy.solver.SDDiP method)
solving_time (msppy.solver.Extensive attribute)
stage_cost (msppy.evaluation.Evaluation attribute)
(msppy.evaluation.EvaluationTrue attribute)
StochasticModel (class in msppy.sp)
W
write() (in module msppy.msp.MSLP)