Index

Symbols

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

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

A

a priori AbsoluteValue (QualityCriterion) ADAO adaoBuilder ADD AdjointOperator, [1] AdjointTest (example) adjustment algoResults Algorithm, [1], [2] 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] analysis, [1], [2]

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] APosterioriCovariance, [1], [2], [3], [4], [5], [6], [7], [8] APosterioriStandardDeviations, [1], [2], [3], [4], [5], [6], [7], [8] APosterioriVariances, [1], [2], [3], [4], [5], [6], [7], [8] 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] background, [1], [2], [3] 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] Bayesian estimation BEST1BIN", Minimizer BEST1EXP", Minimizer BEST2BIN Minimizer BEST2EXP Minimizer

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

C

calibration, [1] case CEKF Variant, [1] CenteredFiniteDifference CG Minimizer, [1], [2] CHECKING_STUDY CheckingPoint, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10] COBYLA Minimizer ColMajor ColNames ConstrainedBy, [1], [2] Content ContentFrom ControlInput, [1]

ControlModel Convergence convert COPYING CostDecrementTolerance, [1], [2], [3], [4] 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] CostFunctionJAtCurrentOptimum, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12] 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] CostFunctionJbAtCurrentOptimum, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12] 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] CostFunctionJoAtCurrentOptimum, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12] covariance matrix covariances, [1] CrossOverProbability_CR CurrentIterationNumber, [1], [2], [3], [4], [5], [6], [7], [8], [9] CurrentOptimum, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13] 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] CurrentStepNumber, [1], [2], [3], [4], [5]

D

Data Assimilation data assimilation chain data smoothing data-driven DataFile, [1], [2] Debug, [1], [2], [3] Defaults DerivativeFreeOptimization, [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]

Dict DifferentialEvolution, [1] DifferentialIncrement digital simulator Dimensionless DirectOperator, [1], [2] Dry, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10] dump dynamic (system)

E

E3DVAR Variant, [1] EFICAS Version EIM EKF Variant, [1] EnableMultiProcessing EnableMultiProcessingInEvaluation EnKF Variant, [1] EnKS Variant, [1] EnsembleBlue EnsembleKalmanFilter EnsembleOfSnapshots, [1] EOF

EpsilonMinimumExponent, [1], [2], [3] ErrorNorm ErrorNormTolerance EstimationOf, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11] ETKF Variant, [1] ETKF-N Variant, [1] EvolutionError, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11] EvolutionModel, [1], [2], [3], [4], [5], [6] ExcludeLocations execute ExecuteInContainer, [1], [2] Executor ExtendedBlue (example) ExtendedKalmanFilter ExtraArguments, [1], [2]

F

field interpolation fields interpolation fields reconstruction FileName FileNameFrom FileNameTo Forecast, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11] ForecastCovariance, [1], [2], [3]

ForecastState, [1], [2], [3], [4], [5], [6], [7], [8] Formater FormaterFrom FormaterTo Fourier Function FunctionTest (example), [1]

G

get, [1] getResults Gnuplot Version

GradientNormTolerance, [1], [2] GradientTest GroupRecallRate

H

HybridCostDecrementTolerance

HybridCovarianceEquilibrium HybridMaximumNumberOfIterations

I

IEnKF Variant, [1] IndexOfOptimum, [1], [2], [3], [4], [5], [6], [7], [8], [9] InflationFactor InflationType initial conditions InitialDirection, [1], [2], [3] InitializationPoint, [1], [2], [3] Innovation, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]

innovation InnovationAtCurrentAnalysis, [1], [2], [3], [4], [5], [6], [7], [8] InnovationAtCurrentState, [1], [2], [3], [4], [5], [6], [7], [8], [9] InputFunctionAsMulti InputValuesTest InputVariables inverse problems, [1] inversion iteration (internal) Iterative convergence

J

JacobianMatrixAtBackground JacobianMatrixAtCurrentState, [1]

JacobianMatrixAtOptimum joint estimation of states and parameters

K

Kahrunen-Loeve KalmanFilter (example)

KalmanGainAtOptimum Kappa

L

L1 (QualityCriterion) L2 (QualityCriterion) LBFGSB Minimizer, [1], [2] LeastSquares (QualityCriterion) LengthOfTabuList LICENSE

LinearityTest LinearLeastSquares Linf (QualityCriterion) load LocalSensitivityTest Logging LS (QualityCriterion)

M

machine learning MahalanobisConsistency, [1], [2], [3] mathematical regularization MatplotLib Version Matrix, [1] MaximumError (QualityCriterion) MaximumNumberOfFunctionEvaluations, [1], [2] MaximumNumberOfIterations, [1], [2], [3], [4], [5], [6], [7] MaximumNumberOfLocations ME (QualityCriterion) Measurement locations Measurements (Optimal positioning) MeasurementsOptimalPositioningTask measures interpolation meta-heuristics Minimizer, [1], [2], [3], [4] BEST1BIN", BEST1EXP", BEST2BIN BEST2EXP BFGS, [1], [2] BOBYQA CG, [1], [2] COBYLA LBFGSB, [1], [2] NCG, [1], [2] NEWUOA POWELL RAND1BIN RAND1EXP", RAND2BIN RAND2EXP RANDTOBEST1BIN RANDTOBEST1EXP SIMPLEX SUBPLEX TNC, [1], [2]

MLEF Variant, [1] model reduction models adjustment MutationDifferentialWeight_F

N

NCG Minimizer, [1], [2] neutral sub-space NEWUOA Minimizer nextStep NLopt Version NoiseAddingProbability NoiseDistribution NoiseHalfRange Nondimensionalization

NonLinearLeastSquares (example) NumberOfElementaryPerturbations NumberOfInsects NumberOfMembers NumberOfPrintedDigits, [1], [2], [3] NumberOfProcesses NumberOfRepetition, [1] NumberOfSamplesForQuantiles, [1], [2] 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] observation 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] 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] observations or measurements Observer, [1], [2], [3], [4], [5], [6] Observer Template, [1], [2], [3], [4], [5], [6] Observers, [1], [2], [3]

ObserverTest ODE (Ordinary Differential Equation) OI OMA, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11] OMB, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10] OneFunction Optimal Interpolation optimal interpolation Optimal positioning of measurements OptimalPoints, [1] optimization methods OPTIMIZATION_STUDY OutputVariables

P

ParallelFunctionTest parameter adjustment parameter estimation Parameters parameters adjustment parameters estimation parameters identification ParticleSwarmOptimization, [1] PCA physical system POD

PopulationSize PositioningByEIM Variant PositioningBylcEIM Variant Post-processing POWELL Minimizer PrintAllValuesFor ProjectedGradientTolerance, [1], [2] Python Version

Q

quadratic optimization QualityCriterion, [1], [2], [3], [4], [5]

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

R

R RAND1BIN Minimizer RAND1EXP", Minimizer RAND2BIN Minimizer RAND2EXP Minimizer RANDTOBEST1BIN Minimizer RANDTOBEST1EXP Minimizer RBM

Reconditioner reduced methods reduced space ReducedBasis reduction reduction methods REDUCTION_STUDY regularization regularization methods Residu, [1], [2], [3], [4], [5], [6], [7], [8] ResiduFormula, [1] Residus reticulate rPython

S

SALOME Version SampleAsExplicitHyperCube SampleAsIndependantRandomVariables SampleAsMinMaxStepHyperCube SampleAsnUplet SampledStateForQuantiles, [1], [2] SamplingTest 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] Scipy Version Script ScriptWithFunctions ScriptWithOneFunction ScriptWithSwitch set setAlgorithmParameters, [1] setBackground setBackgroundError, [1], [2], [3], [4] setCheckingPoint setControlInput setControlModel, [1] SetDebug, [1], [2], [3], [4] 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] setUserPostAnalysis, [1] setUserPostAnalysis Template ShowElementarySummary, [1] ShowInformationOnlyFor SigmaBck2, [1], [2] SigmaObs2, [1], [2], [3] SIMPLEX Minimizer SimulatedObservationAtBackground, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10] SimulatedObservationAtCurrentAnalysis, [1], [2], [3] SimulatedObservationAtCurrentOptimum, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11] SimulatedObservationAtCurrentState, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23] SimulatedObservationAtOptimum, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11] SimulationForQuantiles, [1], [2] SimulationQuantiles, [1], [2], [3] SmootherLagL sparse StandardDeviation state estimation, [1], [2] StateBoundsForQuantiles, [1], [2] StateVariationTolerance step (of assimilation) Stored, [1] 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] String StudyName, [1], [2] StudyRepertory, [1], [2] SUBPLEX Minimizer SVD SwarmVelocity Switching Version of ADAO system dynamic

T

TabuSearch TangentOperator, [1] TangentTest Template temporal evolution

ThreeFunctions TNC Minimizer, [1], [2] 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) ValueMean (Observer) ValuePrinter (Observer) ValuePrinterAndGnuPlotter (Observer) ValuePrinterAndSaver (Observer) ValuePrinterSaverAndGnuPlotter (Observer) ValueRMS (Observer) ValueSaver (Observer) ValueSerieGnuPlotter (Observer) ValueSeriePrinter (Observer) ValueSeriePrinterAndGnuPlotter (Observer) ValueSeriePrinterAndSaver (Observer) ValueSeriePrinterSaverAndGnuPlotter (Observer) ValueSerieSaver (Observer) ValueStandardError (Observer) ValueVariance (Observer) Variant, [1], [2], [3], [4] 2UKF, [1] 3DVAR, [1] 3DVAR-Incr, [1] 3DVAR-PSAS, [1] 3DVAR-VAN, [1] CEKF, [1] E3DVAR, [1] EKF, [1] ETKF, [1] ETKF-N, [1] EnKF, [1] EnKS, [1] IEnKF, [1] MLEF, [1] PositioningByEIM PositioningBylcEIM UKF, [1]

variational optimization Vector, [1] VectorSerie, [1] Version EFICAS Gnuplot MatplotLib NLopt Numpy Python SALOME Scipy Version of ADAO Switching

W

wavelets

WeightedLeastSquares (QualityCriterion) WLS (QualityCriterion)

Y

YACS