Index

Symbols

2UKF Variant, [1] 3D-Var 3D-Var-Ben Variant 3DVAR, [1] Variant, [1], [2] 3DVAR (example), [1], [2], [3] 3DVAR-Incr Variant, [1]

3DVAR-PSAS Variant, [1] 3DVAR-VAN Variant, [1] 3DVARGradientOptimization Variant 4D-Var 4DVAR

A

a priori AbsoluteValue (QualityCriterion) ADAO Version, [1] adaoBuilder ADD AdjointOperator, [1] AdjointTest (example) Adjustment AIS PSO Variant algoResults Algorithm, [1], [2] Algorithmic parallelism included, [1], [2], [3], [4], [5], [6], [7] AlgorithmParameters, [1], [2], [3], [4], [5] Alpha AmplitudeOfInitialDirection, [1], [2], [3] AmplitudeOfTangentPerturbation, [1], [2] Analysis, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42]

AnalysisPrinter (Observer) (UserPostAnalysis) AnalysisPrinterAndSaver (Observer) (UserPostAnalysis) AnalysisSaver (Observer) (UserPostAnalysis) AnalysisSeriePrinter (Observer) AnalysisSeriePrinterAndSaver (Observer) AnalysisSerieSaver (Observer) API/TUI APosterioriCorrelations, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10] APosterioriCovariance, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10] APosterioriStandardDeviations, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10] APosterioriVariances, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10] APSO Variant Artificial intelligence ASSIMILATION_STUDY AugmentedWeightedLeastSquares (QualityCriterion) AWLS (QualityCriterion)

B

Background, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25] Background error covariances, [1] BackgroundError, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24] Bayesian estimation BEST1BIN", Minimizer BEST1EXP", Minimizer BEST2BIN Minimizer BEST2EXP Minimizer

Beta BFGS Minimizer, [1], [2], [3], [4] Blue, [1] (example) BMA, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17] BOBYQA Minimizer, [1] Boundary conditions Bounds, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11] BoxBounds

C

Calibration, [1] callinfo CanonicalParticuleSwarmOptimization Variant CanonicalPSO Variant, [1], [2] CanonicalPSO-VLS Variant Case CEKF Variant, [1] CenteredFiniteDifference CG Minimizer, [1], [2], [3] CHECKING_STUDY CheckingPoint, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13] COBYLA Minimizer, [1] CognitiveAcceleration, [1] CognitiveAccelerationControl, [1] ColMajor ColNames ConstrainedBy, [1], [2] Content ContentFrom ControledFunctionTest (example)

ControlInput, [1], [2] ControlModel Convergence Convergence on number criteria, [1], [2] Convergence on residue or number criteria, [1], [2], [3], [4], [5] Convergence on static criteria, [1], [2], [3], [4], [5], [6], [7] convert COPYING CostDecrementTolerance, [1], [2], [3], [4], [5] CostFunctionJ, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32] CostFunctionJAtCurrentOptimum, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15] CostFunctionJb, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32] CostFunctionJbAtCurrentOptimum, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15] CostFunctionJo, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32] CostFunctionJoAtCurrentOptimum, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15] Covariance matrix Covariances, [1] CrossOverProbability_CR CS3F Variant, [1] CUKF Variant, [1] CurrentIterationNumber, [1], [2], [3], [4], [5], [6], [7], [8], [9] CurrentOptimum, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16] CurrentState, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33] CurrentStepNumber, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10]

D

Data Assimilation Data assimilation chain Data smoothing Data-driven DataFile, [1], [2] Debug, [1], [2], [3] Defaults DEIM Variant Derivation not required, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18] Derivation required, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14] DerivativeFreeOptimization, [1] Variant, [1]

DiagonalSparseMatrix, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58] Dict DifferentialEvolution, [1] DifferentialIncrement Digital simulator Dimensionless DirectOperator, [1], [2] DistributionByComponents, [1] Dry, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12] DualAnnealing Variant, [1] dump Dynamic (system)

E

E3DVAR Variant, [1] EFICAS Version EIM Variant EKF Variant, [1] EnableParallelEvaluations EnableWiseParallelism EnKF Variant, [1] EnKS Variant, [1] Ensemble of simulations, [1] Ensemble of snapshots, [1] EnsembleBlue EnsembleKalmanFilter EnsembleOfSimulationGenerationTask EnsembleOfSimulations, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22] EnsembleOfSnapshots, [1], [2], [3] EnsembleOfStates, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21] EnSRKF Variant

EOF EpsilonMinimumExponent, [1], [2], [3] ErrorNorm, [1] ErrorNormTolerance EstimationOf, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13] ETKF Variant, [1] ETKF-N Variant, [1] EvolutionError, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20] EvolutionModel, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15] ExcludedPoints ExcludeLocations, [1] execute ExecuteInContainer, [1], [2] Executor ExtendedBlue Variant ExtendedBlue (example) ExtendedBlueOptimization Variant ExtendedKalmanFilter ExtraArguments, [1], [2]

F

Field interpolation Field reconstruction Fields interpolation Fields reconstruction File (naming) (type) FileName FileNameFrom FileNameTo

Forecast, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13] ForecastCovariance, [1], [2], [3] ForecastState, [1], [2], [3], [4], [5], [6], [7], [8], [9] Formater FormaterFrom FormaterTo Fourier Function FunctionTest (example), [1]

G

GeneralizedSimulatedAnnealing Variant, [1] get, [1] getResults Génération d'ensemble de simulations

Global optimization, [1] GlobalCostReductionTolerance, [1] Gnuplot Version GradientNormTolerance, [1], [2], [3] GradientTest

H

HybridCostDecrementTolerance, [1], [2] HybridCovarianceEquilibrium

HybridMaximumNumberOfIterations, [1], [2] HybridNumberOfLocalHunters, [1] HybridNumberOfWarmupIterations, [1]

I

IEnKF Variant, [1] IndexOfOptimum, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12] InertiaWeight, [1] InflationFactor InflationType Initial conditions InitialDirection, [1], [2], [3] InitializationPoint, [1], [2], [3], [4], [5] Innovation, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16] InnovationAtCurrentAnalysis, [1], [2], [3], [4], [5], [6], [7], [8], [9]

InnovationAtCurrentState, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13] InputFunctionAsMulti InputValuesTest InputVariables InterpolationByReducedModelTask (example) InterpolationByReducedModelTest Inverse problems, [1] Inversion Iteration (internal) Iterative convergence

J

JacobianMatrixAtBackground, [1] JacobianMatrixAtCurrentState, [1]

JacobianMatrixAtOptimum, [1] Joint estimation of states and parameters

K

Kahrunen-Loeve KalmanFilter (example)

KalmanGainAtOptimum, [1] Kappa

L

L1 (QualityCriterion) L2 (QualityCriterion) Latin hypercube, [1], [2], [3], [4] LBFGSB Minimizer, [1], [2], [3], [4] lcDEIM Variant lcEIM Variant LeastSquares (QualityCriterion)

LengthOfTabuList LICENSE LinearityTest LinearLeastSquares Linf (QualityCriterion) load Local optimization, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10] LocalSensitivityTest Logging Lorenz63 LS (QualityCriterion)

M

Machine learning maes MahalanobisConsistency, [1], [2], [3], [4] Mathematical regularization MatplotLib Version Matrix, [1] MaximumError (QualityCriterion) MaximumNumberOfFunctionEvaluations, [1], [2], [3], [4] MaximumNumberOfIterations, [1], [2], [3], [4], [5], [6], [7], [8], [9] MaximumNumberOfLocations, [1] MaximumNumberOfModes maxs ME (QualityCriterion) Mean Absolute Error (MAE) Mean-Square Deviation (MSD) Mean-Square Error (MSE) means Measurement locations MeasurementLocations Measurements (Optimal positioning) Measurements interpolation MeasurementsOptimalPositioningTask (example), [1], [2] Measures interpolation Meta-heuristics Method of manufactured solutions Method of twin experiments Minimizer, [1], [2], [3], [4], [5], [6] BEST1BIN", BEST1EXP", BEST2BIN BEST2EXP BFGS, [1], [2], [3], [4] BOBYQA, [1] CG, [1], [2], [3] COBYLA, [1] LBFGSB, [1], [2], [3], [4] NEWUOA, [1] POWELL, [1] RAND1BIN RAND1EXP", RAND2BIN RAND2EXP RANDTOBEST1BIN RANDTOBEST1EXP SIMPLEX, [1] SUBPLEX, [1] TNC, [1], [2], [3]

mins MLEF Variant, [1] MMS Model reduction Models adjustment msds mses MTE MutationDifferentialWeight_F

N

NameOfLocations, [1] Neutral sub-space NEWUOA Minimizer, [1] nextStep NLopt Version No algorithmic parallelism, [1], [2], [3] NoiseAddingProbability NoiseDistribution NoiseHalfRange Non local optimization, [1], [2], [3], [4], [5] Nondimensionalization

NonLinearLeastSquares (example) norms NumberOfElementaryPerturbations NumberOfInsects, [1] NumberOfMembers NumberOfPrintedDigits, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10] NumberOfProcesses NumberOfRepetition, [1], [2], [3] NumberOfSamplesForQuantiles, [1], [2], [3] Numerical simulation Numpy Version

O

Object ObjectFrom Observation, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29] Observation error covariances, [1] Observation operator ObservationError, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26] ObservationOperator, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32] Observations or measurements ObservationsAlreadyRestrictedOnOptimalLocations ObservationSimulationComparisonTest (example) Observer, [1], [2], [3], [4], [5], [6] Observer Template, [1], [2], [3], [4], [5], [6] Observers, [1], [2], [3] ObserverTest ODE (Ordinary Differential Equation) OGCR Variant, [1]

OGCR-VLS Variant OI Variant OMA, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13] OMB, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13] OneFunction Optimal Interpolation Variant Optimal interpolation Optimal positioning of measurements OptimalLocations OptimalPoints, [1] Optimization methods OPTIMIZATION_STUDY OutputVariables

P

ParallelFunctionTest Parallelism of derivation, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13] Parameter adjustment, [1] Parameter calibration Parameter estimation ParameterCalibrationTask (example), [1] Parameters Parameters adjustment Parameters estimation Parameters identification Particle Swarm (Optimization) ParticleSwarmOptimization, [1] PCA Physical system PlotAndSave POD

PopulationSize PositioningByDEIM Variant PositioningByEIM Variant PositioningBylcDEIM Variant PositioningBylcEIM Variant Post-processing POWELL Minimizer, [1] PrintAllValuesFor ProjectedGradientTolerance, [1], [2], [3] PSIS PSO Variant Python Version

Q

Quadratic optimization QualityCriterion, [1], [2], [3], [4], [5], [6], [7]

Quantile QuantileRegression, [1] Quantiles, [1], [2], [3]

R

R RAND1BIN Minimizer RAND1EXP", Minimizer RAND2BIN Minimizer RAND2EXP Minimizer RANDTOBEST1BIN Minimizer RANDTOBEST1EXP Minimizer RBM Reconditioner Reduced methods Reduced Order Model, [1] Reduced space ReducedBasis, [1], [2] ReducedBasisMus ReducedCoordinates

ReducedModelingTest (exemple) ReduceMemoryUse Reduction Reduction methods REDUCTION_STUDY Regularization Regularization methods Residu, [1], [2], [3], [4], [5], [6], [7], [8] ResiduFormula, [1] Residus, [1] reticulate rmsds rmses ROM, [1], [2] Root-Mean-Square (RMS) Root-Mean-Square Deviation (RMSD) Root-Mean-Square Error (RMSE) rPython RRSQRT Variant

S

S3F Variant, [1] SALOME Version SampleAsExplicitHyperCube, [1], [2], [3], [4] SampleAsIndependentRandomVariables, [1], [2], [3], [4] SampleAsIndependentRandomVectors, [1], [2], [3], [4] SampleAsMinMaxLatinHyperCube, [1], [2], [3], [4] SampleAsMinMaxSobolSequence, [1], [2], [3], [4] SampleAsMinMaxStepHyperCube, [1], [2], [3], [4] SampleAsnUplet, [1], [2], [3], [4] SampledStateForQuantiles, [1], [2], [3] Sampling SamplingTest, [1] SaveCaseInFile ScalarSparseMatrix, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58] Scipy Version Script ScriptWithFunctions ScriptWithOneFunction ScriptWithSwitch set setAlgorithmParameters, [1] setBackground setBackgroundError, [1], [2], [3], [4] setCheckingPoint setControlInput setControlModel, [1] SetDebug, [1], [2], [3], [4], [5], [6], [7], [8], [9] setDebug, [1] setDirectory setEvolutionError, [1], [2], [3], [4] setEvolutionModel, [1] setName setNoDebug setObservation, [1] setObservationError, [1], [2], [3], [4], [5] setObservationOperator, [1] setObserver, [1] setObserver Template SetSeed, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17] setUserPostAnalysis, [1] setUserPostAnalysis Template ShowElementarySummary, [1], [2], [3], [4], [5] ShowInformationOnlyFor SigmaBck2, [1], [2] SigmaObs2, [1], [2], [3], [4] SIMPLEX Minimizer, [1] SimulatedAnnealing SimulatedObservationAtBackground, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12] SimulatedObservationAtCurrentAnalysis, [1], [2], [3]

SimulatedObservationAtCurrentOptimum, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14] SimulatedObservationAtCurrentState, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27] SimulatedObservationAtOptimum, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13] SimulationForQuantiles, [1], [2], [3] SimulationQuantiles, [1], [2], [3], [4] Simulations (Ensemble), [1] SingularValues, [1] SIS PSO Variant SmootherLagL Snapshots (Ensemble), [1], [2] Sobol Sequence, [1], [2], [3], [4] SocialAcceleration, [1] SocialAccelerationControl, [1] Sparse SPSO-2011 Variant, [1] SPSO-2011-AIS Variant SPSO-2011-AIS-VLS Variant, [1] SPSO-2011-PSIS Variant SPSO-2011-PSIS-VLS Variant SPSO-2011-SIS Variant SPSO-2011-SIS-VLS Variant SPSO-2011-VLS Variant StandardDeviation State estimation, [1], [2] State sampling StateBoundsForQuantiles, [1], [2], [3] StateVariationTolerance, [1] stds Step (of assimilation) Stored, [1] StoreInitialState StoreSupplementaryCalculations, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31] String StudyName, [1], [2] StudyRepertory, [1], [2] SUBPLEX Minimizer, [1] sums SVD SwarmInitialization, [1] SwarmTopology, [1] Switching Version of ADAO sysinfo System dynamic

T

TabuSearch TangentOperator, [1] TangentTest Template Temporal evolution ThreeFunctions

TNC Minimizer, [1], [2], [3] traces True state TUI Twin experiments

U

UKF Variant, [1] UnscentedKalmanFilter

UserDataInit, [1] UserPostAnalysis, [1], [2], [3] UserPostAnalysis Template, [1], [2]

V

ValueAndIndexPrinter (Observer) ValueGnuPlotter (Observer) ValueIndexPrinterAndSaver (Observer) ValueL2Norm (Observer) ValueMatPlotter (Observer) ValueMatPlotterSaver (Observer) ValueMean (Observer) ValuePrinter (Observer) ValuePrinterAndGnuPlotter (Observer) ValuePrinterAndMatPlotter (Observer) ValuePrinterAndMatPlotterSaver (Observer) ValuePrinterAndSaver (Observer) ValuePrinterSaverAndGnuPlotter (Observer) ValuePrinterSaverAndMatPlotter (Observer) ValuePrinterSaverAndMatPlotterSaver (Observer) ValueRMS (Observer) ValueSaver (Observer) ValueSerieGnuPlotter (Observer) ValueSerieMatPlotter (Observer) ValueSerieMatPlotterSaver (Observer) ValueSeriePrinter (Observer) ValueSeriePrinterAndGnuPlotter (Observer) ValueSeriePrinterAndMatPlotter (Observer) ValueSeriePrinterAndMatPlotterSaver (Observer) ValueSeriePrinterAndSaver (Observer) ValueSeriePrinterSaverAndGnuPlotter (Observer) ValueSeriePrinterSaverAndMatPlotter (Observer) ValueSeriePrinterSaverAndMatPlotterSaver (Observer) ValueSerieSaver (Observer) ValueStandardError (Observer) ValueVariance (Observer) Variant, [1], [2], [3], [4], [5], [6], [7] 2UKF, [1] 3D-Var-Ben 3DVAR, [1], [2] 3DVAR-Incr, [1] 3DVAR-PSAS, [1] 3DVAR-VAN, [1] 3DVARGradientOptimization AIS PSO APSO CanonicalParticuleSwarmOptimization CanonicalPSO, [1], [2] CanonicalPSO-VLS CEKF, [1] CS3F, [1] CUKF, [1] DEIM DerivativeFreeOptimization, [1] DualAnnealing, [1] E3DVAR, [1] EIM EKF, [1] EnKF, [1] EnKS, [1] EnSRKF ETKF, [1] ETKF-N, [1] ExtendedBlue ExtendedBlueOptimization GeneralizedSimulatedAnnealing, [1] IEnKF, [1] lcDEIM lcEIM MLEF, [1] OGCR, [1] OGCR-VLS OI Optimal Interpolation PositioningByDEIM PositioningByEIM PositioningBylcDEIM PositioningBylcEIM PSIS PSO RRSQRT S3F, [1] SIS PSO SPSO-2011, [1] SPSO-2011-AIS SPSO-2011-AIS-VLS, [1] SPSO-2011-PSIS SPSO-2011-PSIS-VLS SPSO-2011-SIS SPSO-2011-SIS-VLS SPSO-2011-VLS UKF, [1] VariationalParticuleSwarmOptimization

Variational Local Search Variational optimization VariationalParticuleSwarmOptimization Variant Vector, [1] VectorSerie, [1] VelocityClampingFactor, [1] Version ADAO, [1] EFICAS Gnuplot MatplotLib NLopt Numpy Python SALOME Scipy Version of ADAO Switching

W

Wavelets

WeightedLeastSquares (QualityCriterion) WLS (QualityCriterion)

Y

YACS