Dakota
Version 6.20
Explore and Predict with Confidence
Main Page
Related Pages
Namespaces
Namespace List
Namespace Members
All
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
x
Functions
a
b
c
d
e
f
g
h
i
k
l
m
n
o
p
q
r
s
v
w
x
Variables
a
b
c
d
e
f
h
i
j
k
l
m
n
p
s
t
v
w
Typedefs
a
b
d
f
g
m
p
r
s
u
v
Enumerations
Enumerator
Classes
Class List
Class Index
Class Hierarchy
Class Members
All
_
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
x
y
z
~
Functions
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
x
z
~
Variables
_
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
x
y
Typedefs
Enumerations
Enumerator
Related Functions
b
c
d
e
h
i
m
n
o
p
r
s
Files
File List
File Members
All
c
d
f
g
m
p
r
s
Functions
c
d
f
g
m
p
r
s
Variables
•
All
Classes
Namespaces
Files
Functions
Variables
Typedefs
Enumerations
Enumerator
Friends
Pages
- p -
parallelConfigurations :
ParallelLibrary
parallelFlag :
EffGlobalMinimizer
parallelLevels :
ParallelLibrary
parallelLib :
ApplicationInterface
,
Environment
,
Iterator
,
IteratorScheduler
,
Model
,
ProblemDescDB
paramDomain :
NonDQUESOBayesCalibration
parameterSets :
ConcurrentMetaIterator
,
SeqHybridMetaIterator
paramInitials :
NonDQUESOBayesCalibration
paramMaxs :
NonDDREAMBayesCalibration
,
NonDWASABIBayesCalibration
paramMins :
NonDDREAMBayesCalibration
,
NonDWASABIBayesCalibration
params :
APPSOptimizer
paramSetLen :
ConcurrentMetaIterator
paramsFileName :
ProcessApplicInterface
paramsFileWritten :
ProcessApplicInterface
paramsMsgLen :
IteratorScheduler
paramSpace :
NonDQUESOBayesCalibration
parentModel :
PebbldBranching
parserOptions :
ProgramOptions
partialCorr :
SensAnalysisGlobal
partialRankCorr :
SensAnalysisGlobal
patternBasis :
DataMethodRep
pcaFlag :
DataMethodRep
,
NonDLHSSampling
pceGradsMeanX :
NonDPolynomialChaos
pcePilotExpansion :
AdaptedBasisModel
pcePilotExpRepPtr :
AdaptedBasisModel
pDDBInstance :
NIDRProblemDescDB
pdfComputed :
NonD
pdfOutput :
NonD
pecosBasisApprox :
PecosApproximation
pecosSharedData :
SharedPecosApproxData
pecosSharedDataRep :
SharedPecosApproxData
peerAssignJobs :
IteratorScheduler
penaltyIterOffset :
SurrBasedLocalMinimizer
penaltyParameter :
NonDGlobalReliability
,
SurrBasedMinimizer
percentChange :
DataMethodRep
percentFold :
DataModelRep
,
SharedSurfpackApproxData
percentVariance :
RandomFieldModel
percentVarianceExplained :
DataMethodRep
,
NonDLHSSampling
perform_analysis :
GridApplicInterface
pExp :
QMEApproximation
,
TANA3Approximation
PI :
GaussianProcess
piecewiseBasis :
DataMethodRep
,
NonDExpansion
pilotGroupSampling :
DataMethodRep
,
NonDMultilevBLUESampling
pilotMgmtMode :
NonDEnsembleSampling
pilotSamples :
DataMethodRep
,
NonDEnsembleSampling
pmaMaximizeG :
NonDReliability
pname :
GetLongOpt
pointReuse :
DataFitSurrModel
,
DataMethodRep
pointsAddedIndex :
GaussProcApproximation
pointSelection :
DataModelRep
pointsManagement :
DataFitSurrModel
,
DataModelRep
pointsTotal :
DataFitSurrModel
,
DataModelRep
poissonUncCat :
DataVariablesRep
poissonUncLambdas :
DataVariablesRep
poissonUncVars :
DataVariablesRep
pold :
GP_Objective
polyApproxRep :
PecosApproximation
polynomialCoeffs :
PolynomialRegression
polynomialIntercept :
PolynomialRegression
polynomialOrder :
DataMethodRep
,
DataModelRep
polyRegression :
GaussianProcess
poppedCounts :
SharedC3ApproxData
poppedLevelApprox :
C3Approximation
populationSize :
DataMethodRep
posteriorDensityExportFilename :
DataMethodRep
posteriorSamplesExportFilename :
DataMethodRep
posteriorSamplesImportFile :
NonDWASABIBayesCalibration
posteriorSamplesImportFilename :
DataMethodRep
posteriorSamplesImportFormat :
NonDWASABIBayesCalibration
posteriorStatsKDE :
DataMethodRep
,
NonDBayesCalibration
posteriorStatsKL :
DataMethodRep
,
NonDBayesCalibration
posteriorStatsMutual :
DataMethodRep
,
NonDBayesCalibration
postProcessorType :
DataMethodRep
postRunFlag :
DataEnvironmentRep
,
ProgramOptions
postRunInput :
DataEnvironmentRep
,
ProgramOptions
postRunInputFormat :
DataEnvironmentRep
,
ProgramOptions
postRunOutput :
DataEnvironmentRep
,
ProgramOptions
postRv :
NonDQUESOBayesCalibration
precondRequestValue :
NonDQUESOBayesCalibration
predBasisMatrix :
GaussianProcess
predCovariance :
GaussianProcess
predGramMatrix :
GaussianProcess
predictionConfigList :
DataMethodRep
,
NonDBayesCalibration
predictionErrors :
NonDAdaptiveSampling
predMixedGramMatrix :
GaussianProcess
predVals :
NonDBayesCalibration
preprocCmd :
ProgramOptions
preprocFilename :
ProgramOptions
preprocInput :
ProgramOptions
preRunFlag :
DataEnvironmentRep
,
ProgramOptions
preRunInput :
DataEnvironmentRep
,
ProgramOptions
preRunOutput :
DataEnvironmentRep
,
ProgramOptions
preRunOutputFormat :
DataEnvironmentRep
,
ProgramOptions
pressFlag :
DataModelRep
,
SharedSurfpackApproxData
prevC3FTData :
C3Approximation
prevCoeffs :
NonDBayesCalibration
prevCumASVLev0 :
NonDLocalReliability
prevCVStar :
NonDGlobalInterval
prevDIVStar :
NonDGlobalInterval
prevDRVStar :
NonDGlobalInterval
prevDSIView :
Model
prevDSRView :
Model
prevDSSView :
Model
prevFnGradDLev0 :
NonDLocalReliability
prevFnGradULev0 :
NonDLocalReliability
prevFnStar :
NonDGlobalInterval
prevGradIndex :
QMEApproximation
prevICVars :
NonDLocalReliability
prevLSqInstance :
LeastSq
prevMinInstance :
Minimizer
prevMPPULev0 :
NonDLocalReliability
prevNondInstance :
NonD
prevOptInstance :
Optimizer
prevRespId :
DirectApplicInterface
prevSnllLSqInstance :
SNLLLeastSq
prevSnllOptInstance :
SNLLOptimizer
prevSubProbSoln :
EffGlobalMinimizer
prevVarsId :
DirectApplicInterface
priFieldLabels :
SharedResponseDataRep
priFieldLengths :
SharedResponseDataRep
primaryACVarMapIndices :
EnsembleSurrModel
,
ProbabilityTransformModel
primaryADIVarMapIndices :
EnsembleSurrModel
primaryADRVarMapIndices :
EnsembleSurrModel
primaryADSVarMapIndices :
EnsembleSurrModel
primaryFnType :
SharedResponseDataRep
primaryRespCoeffs :
DataModelRep
,
NestedModel
primaryRespFnScales :
DataResponsesRep
primaryRespFnScaleTypes :
DataResponsesRep
primaryRespFnSense :
DataResponsesRep
,
Model
primaryRespFnWeights :
DataResponsesRep
primaryRespFnWts :
Model
primaryRespMapIndices :
RecastModel
primaryRespMapping :
RecastModel
primaryRespScaleFlag :
ScalingModel
primaryVarMaps :
DataModelRep
primeBase :
DataMethodRep
,
FSUDesignCompExp
printControl :
CONMINOptimizer
printPopFlag :
DataMethodRep
priorCovCholFactor :
NonDBayesCalibration
priorPropCovMult :
DataMethodRep
,
NonDMUQBayesCalibration
,
NonDQUESOBayesCalibration
priorRv :
NonDQUESOBayesCalibration
priScales :
ScalingOptions
priScaleTypes :
ScalingOptions
probabilityLevels :
DataMethodRep
probDescDB :
Environment
,
Iterator
,
Model
probEstimate :
NonDAdaptImpSampling
problemParams :
APPSOptimizer
problemType :
ROLOptimizer
procRemainder :
ParallelLevel
procsPerAnalysisSpec :
ApplicationInterface
procsPerEvalSpec :
ApplicationInterface
procsPerIterator :
DataMethodRep
,
IteratorScheduler
procsPerServer :
ParallelLevel
procVar :
GaussProcApproximation
programNames :
ProcessApplicInterface
programOptions :
Environment
,
ParallelLibrary
progressThreshold :
SeqHybridMetaIterator
projEstVarHF :
NonDMultilevBLUESampling
projNActualHF :
NonDMultilevBLUESampling
propagationModelPointer :
DataModelRep
propCovUpdatePeriod :
NonDQUESOBayesCalibration
proposalCovarData :
NonDBayesCalibration
proposalCovarFilename :
NonDBayesCalibration
proposalCovarInputType :
NonDBayesCalibration
proposalCovarType :
NonDBayesCalibration
proposalCovData :
DataMethodRep
proposalCovFile :
DataMethodRep
proposalCovInputType :
DataMethodRep
proposalCovMatrix :
NonDMUQBayesCalibration
,
NonDQUESOBayesCalibration
proposalCovType :
DataMethodRep
proposalCovUpdatePeriod :
DataMethodRep
prpResponse :
ParamResponsePair
prpResults :
ConcurrentMetaIterator
,
SeqHybridMetaIterator
prpVariables :
ParamResponsePair
pStudyDACESensGlobal :
PStudyDACE
pstudyFileActive :
DataMethodRep
pstudyFileFormat :
DataMethodRep
pstudyFilename :
DataMethodRep
ptmInstance :
ProbabilityTransformModel
pTrackerHTTP :
UsageTracker
py11CallBack :
Pybind11Interface
pyModuleActive :
Python
pySurrogate :
Python
Generated by
1.8.20