Index

Symboles

2UKF Variant, [1] 3D-Var 3D-Var-Ben Variant 3DVAR, [1] Variant, [1], [2] 3DVAR (exemple), [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 Adimensionnement AdjointOperator, [1] AdjointTest (exemple) AIS PSO Variant Ajustement de modèles Ajustement de paramètres, [1] algoResults Algorithm, [1], [2] AlgorithmParameters, [1], [2], [3], [4], [5] Alpha AmplitudeOfInitialDirection, [1], [2], [3] AmplitudeOfTangentPerturbation, [1], [2] Analyse, [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] 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] Apprentissage APSO Variant Assimilation de données 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] BackgroundError, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23] BEST1BIN", Minimizer BEST1EXP", Minimizer BEST2BIN Minimizer BEST2EXP Minimizer

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

C

Calage, [1] Calage de paramètres Calibration callinfo CanonicalParticuleSwarmOptimization Variant CanonicalPSO Variant, [1], [2] CanonicalPSO-VLS Variant Cas CEKF Variant, [1] CenteredFiniteDifference CG Minimizer, [1], [2], [3] Chaîne d'assimilation de données Changement de Version d'ADAO 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 Conditions aux limites Conditions initiales ConstrainedBy, [1], [2] Content

ContentFrom ControledFunctionTest (exemple) ControlInput, [1], [2] ControlModel Convergence Convergence itérative Convergence sur critère(s) de nombre, [1], [2] Convergence sur critère(s) de résidu ou de nombre, [1], [2], [3], [4], [5] Convergence sur critère(s) statique(s), [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] Covariances, [1] Covariances d'erreurs d'ébauche, [1] Covariances d'erreurs d'observation, [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-driven DataFile, [1], [2] Debug, [1], [2], [3] Defaults DEIM Variant DerivativeFreeOptimization, [1] Variant, [1] Dérivation non requise, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18] Dérivation requise, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14]

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 DirectOperator, [1], [2] DistributionByComponents, [1] Dry, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12] DualAnnealing Variant, [1] dump Dynamique (système)

E

E3DVAR Variant, [1] Ebauche, [1], [2], [3] Echantillonnage Echantillonnage d'états EDO (Équation Différentielle Ordinaire) EFICAS Version EIM Variant EKF Variant, [1] EnableParallelEvaluations EnableWiseParallelism EnKF Variant, [1] EnKS Variant, [1] Ensemble de simulations, [1] Ensemble de 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 Espace réduit Essaim particulaire (Optimisation par) Estimation bayésienne Estimation conjointe d'états et de paramètres Estimation d'état, [1], [2] Estimation de paramètres, [1] EstimationOf, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13] Etat vrai ETKF Variant, [1] ETKF-N Variant, [1] Evolution temporelle EvolutionError, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19] EvolutionModel, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15] ExcludedPoints ExcludeLocations, [1] execute ExecuteInContainer, [1], [2] Executor Expériences jumelles ExtendedBlue Variant ExtendedBlue (exemple) ExtendedBlueOptimization Variant ExtendedKalmanFilter ExtraArguments, [1], [2]

F

Fichier (nommage) (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 (exemple), [1]

G

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

GlobalCostReductionTolerance, [1] Globale (optimisation) Gnuplot Version GradientNormTolerance, [1], [2], [3] GradientTest

H

HybridCostDecrementTolerance, [1], [2] HybridCovarianceEquilibrium HybridMaximumNumberOfIterations, [1], [2]

HybridNumberOfLocalHunters, [1] HybridNumberOfWarmupIterations, [1] Hypercube Latin, [1], [2], [3], [4]

I

Identification de paramètres IEnKF Variant, [1] IndexOfOptimum, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12] InertiaWeight, [1] InflationFactor InflationType 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 Intelligence artificielle Interpolation de champs, [1] Interpolation de données Interpolation de mesures Interpolation optimale InterpolationByReducedModelTask (example) InterpolationByReducedModelTest Inversion Itération (interne)

J

JacobianMatrixAtBackground, [1] JacobianMatrixAtCurrentState, [1]

JacobianMatrixAtOptimum, [1] Jointe (estimation d'états et de paramètres)

K

Kahrunen-Loeve KalmanFilter (exemple)

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

LICENCE LinearityTest LinearLeastSquares Linf (QualityCriterion) Lissage de données load Locale (optimisation) LocalSensitivityTest Logging Lorenz63 LS (QualityCriterion)

M

Machine learning maes MahalanobisConsistency, [1], [2], [3], [4] MatplotLib Version Matrice de covariance 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 MeasurementLocations MeasurementsOptimalPositioningTask (exemple), [1], [2] MEJ Mesures (Positionnement optimal) Méta-heuristiques Méthode des expériences jumelles Méthode des solutions manufacturées Méthodes d'optimisation Méthodes de réduction Méthodes de régularisation Méthodes réduites

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 msds mses MSM MTE MutationDifferentialWeight_F

N

NameOfLocations, [1] NEWUOA Minimizer, [1] nextStep NLopt Version NoiseAddingProbability NoiseDistribution NoiseHalfRange NonLinearLeastSquares (exemple)

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] 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] 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] 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 ou mesures ObservationsAlreadyRestrictedOnOptimalLocations ObservationSimulationComparisonTest (exemple) 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] Ondelettes OneFunction Opérateur d'observation Optimal Interpolation Variant OptimalLocations OptimalPoints, [1] Optimisation globale, [1] Optimisation locale, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10] Optimisation non locale, [1], [2], [3], [4], [5] Optimisation quadratique Optimisation variationnelle OPTIMIZATION_STUDY OutputVariables

P

ParallelFunctionTest Parallélisme algorithmique absent, [1], [2], [3] Parallélisme algorithmique présent, [1], [2], [3], [4], [5], [6], [7] Parallélisme de dérivation, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13] ParameterCalibrationTask (exemple), [1] Parameters ParticleSwarmOptimization, [1] Pas (d'assimilation) PCA PlotAndSave POD PopulationSize PositioningByDEIM Variant PositioningByEIM Variant

PositioningBylcDEIM Variant PositioningBylcEIM Variant Positionnement optimal de mesures Positions de mesures Post-Traitement POWELL Minimizer, [1] PrintAllValuesFor Problèmes inverses, [1] ProjectedGradientTolerance, [1], [2], [3] PSIS PSO Variant Python Version

Q

QualityCriterion, [1], [2], [3], [4], [5], [6], [7] Quantile

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

R

R Racine de l'erreur quadratique moyenne (REQM) RAND1BIN Minimizer RAND1EXP", Minimizer RAND2BIN Minimizer RAND2EXP Minimizer RANDTOBEST1BIN Minimizer RANDTOBEST1EXP Minimizer RBM Recalage, [1] Recalage de paramètres Reconditioner Reconstruction de champ Reconstruction de champs Reduced Order Model, [1] ReducedBasis, [1], [2]

ReducedBasisMus ReducedCoordinates ReducedModelingTest (exemple) ReduceMemoryUse REDUCTION_STUDY Residu, [1], [2], [3], [4], [5], [6], [7], [8] ResiduFormula, [1] Residus, [1] reticulate Réduction Réduction de modèles Régularisation Régularisation mathématique 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] SamplingTest, [1] Sans dimension 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] setCheckingPoint setControlInput setControlModel, [1] SetDebug, [1], [2], [3], [4], [5], [6], [7], [8], [9] setDebug, [1] setDirectory setEvolutionError, [1] setEvolutionModel, [1] setName setNoDebug setObservation, [1] setObservationError, [1], [2] 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 Séquence de Sobol, [1], [2], [3], [4] 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] Simulateur numérique Simulation numérique 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] Sous-espace neutre 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 StateBoundsForQuantiles, [1], [2], [3] StateVariationTolerance, [1] stds 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] sysinfo Système dynamique Système physique

T

TabuSearch TangentOperator, [1] TangentTest Template

ThreeFunctions TNC Minimizer, [1], [2], [3] traces TUI

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 VariationalParticuleSwarmOptimization Variant Vector, [1] VectorSerie, [1] VelocityClampingFactor, [1] Version ADAO, [1] EFICAS Gnuplot MatplotLib NLopt Numpy Python SALOME Scipy Version d'ADAO Changement de

W

WeightedLeastSquares (QualityCriterion)

WLS (QualityCriterion)

Y

YACS