Dakota
Version
Explore and Predict with Confidence
Main Page
Related Pages
Namespaces
Namespace List
Namespace Members
All
a
b
c
d
e
f
g
h
i
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
d
e
f
h
i
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
- g -
G1 :
CONMINOptimizer
G2 :
CONMINOptimizer
G_reduced_xfm :
QMEApproximation
gammaContract :
SurrBasedLocalMinimizer
gammaEstimatorScale :
NonDExpansion
gammaExpand :
SurrBasedLocalMinimizer
gammaUncAlphas :
DataVariablesRep
gammaUncBetas :
DataVariablesRep
gammaUncVars :
DataVariablesRep
generatePosteriorSamples :
DataMethodRep
generateRandomPosteriorSamples :
NonDWASABIBayesCalibration
genReliabilityLevels :
DataMethodRep
geometricUncCat :
DataVariablesRep
geometricUncProbPerTrial :
DataVariablesRep
geometricUncVars :
DataVariablesRep
get_jobs_completed :
GridApplicInterface
getterMethod :
BootstrapSamplerWithGS< Data, Getter, Setter >
globalBalanceParam :
DataMethodRep
globalIterator :
EmbedHybridMetaIterator
globalIterCntr :
NonDGlobalInterval
globalIterCount :
EffGlobalMinimizer
,
SurrBasedMinimizer
globalLowerBnds :
SurrBasedLocalMinimizer
globalModel :
EmbedHybridMetaIterator
globalPtr :
PebbldBranchSub
globalUpperBnds :
SurrBasedLocalMinimizer
GMat :
NonDGenACVSampling
gp :
GP_Objective
gpApproximations :
RandomFieldModel
gpBuild :
NonDAdaptiveSampling
,
NonDGPImpSampling
gpCvars :
NonDAdaptiveSampling
,
NonDGPImpSampling
gpEval :
NonDAdaptiveSampling
,
NonDGPImpSampling
gpFinalEval :
NonDAdaptiveSampling
GPinstance :
GaussProcApproximation
gpMeans :
NonDAdaptiveSampling
,
NonDGPImpSampling
gpModel :
NonDAdaptiveSampling
,
NonDGPImpSampling
gpModelFlag :
NonDGlobalInterval
gpmsaConfigVars :
NonDGPMSABayesCalibration
gpmsaFactory :
NonDGPMSABayesCalibration
gpmsaNormalize :
DataMethodRep
,
NonDGPMSABayesCalibration
gpmsaOptions :
NonDGPMSABayesCalibration
gpVar :
NonDAdaptiveSampling
,
NonDGPImpSampling
grad_old :
GP_Objective
gradCovVector :
GaussProcApproximation
gradCurr :
NonlinearCGOptimizer
gradDiff :
NonlinearCGOptimizer
gradDotGrad_curr :
NonlinearCGOptimizer
gradDotGrad_init :
NonlinearCGOptimizer
gradDotGrad_prev :
NonlinearCGOptimizer
gradFlag :
DirectApplicInterface
gradIdAnalytic :
Model
gradIdNumerical :
Model
gradientScaleFactors :
ActiveSubspaceModel
gradientTolerance :
DataMethodRep
gradientType :
ApplicationInterface
,
DataResponsesRep
,
Model
gradMixedAnalyticIds :
ApplicationInterface
gradNegLogLikTheta :
GaussProcApproximation
gradPrev :
NonlinearCGOptimizer
GramMatrix :
GaussianProcess
GramMatrixDerivs :
GaussianProcess
GramResidualSolution :
GaussianProcess
graph2DFlag :
OutputManager
graphics2D :
Graphics
graphicsCntr :
OutputManager
graphicsFlag :
DataEnvironmentRep
graphicsRespMap :
Model
growthOverride :
DataMethodRep
grThreshold :
DataMethodRep
,
NonDDREAMBayesCalibration
gumbelUncAlphas :
DataVariablesRep
gumbelUncBetas :
DataVariablesRep
gumbelUncVars :
DataVariablesRep
gVec :
NonDGenACVSampling
Generated by
1.8.20