a new object with type S, a subtype of T
|
|
|
|
|
|
|
computeConstraints(self,
Vec x,
Vec c) |
|
|
|
computeDualVariables(self,
Vec xl,
Vec xu) |
|
|
|
computeGradient(self,
Vec x,
Vec g) |
|
|
|
computeHessian(self,
Vec x,
Mat H,
Mat P=None) |
|
|
|
computeJacobian(self,
Vec x,
Mat J,
Mat P=None) |
|
|
|
computeObjective(self,
Vec x) |
|
|
|
computeObjectiveGradient(self,
Vec x,
Vec g) |
|
|
|
computeResidual(self,
Vec x,
Vec f) |
|
|
|
computeVariableBounds(self,
Vec xl,
Vec xu) |
|
|
|
|
|
createPython(self,
context=None,
comm=None) |
|
|
|
|
|
|
|
getBRGNDampingVector(self) |
|
|
|
|
|
getConstraintTolerances(self) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
getMaximumFunctionEvaluations(self) |
|
|
|
getMaximumIterations(self) |
|
|
|
|
|
getObjectiveAndGradient(self) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
monitor(self,
its=None,
f=None,
res=None,
cnorm=None,
step=None) |
|
|
|
|
|
setBRGNDictionaryMatrix(self,
Mat D) |
|
|
|
setBRGNRegularizerHessian(self,
hessian,
Mat H=None,
args=None,
kargs=None) |
|
|
|
setBRGNRegularizerObjectiveGradient(self,
objgrad,
args=None,
kargs=None) |
|
|
|
setBRGNRegularizerWeight(self,
weight) |
|
|
|
setBRGNSmoothL1Epsilon(self,
epsilon) |
|
|
|
setConstraintTolerances(self,
catol=None,
crtol=None) |
|
|
|
setConstraints(self,
constraints,
Vec C=None,
args=None,
kargs=None) |
|
|
|
setConvergedReason(self,
reason) |
|
|
|
setConvergenceTest(self,
converged,
args=None,
kargs=None) |
|
|
|
setEqualityConstraints(self,
equality_constraints,
Vec c,
args=None,
kargs=None) |
|
|
|
|
|
setGradient(self,
gradient,
Vec g,
args=None,
kargs=None) |
|
|
|
setGradientNorm(self,
Mat mat) |
|
|
|
setHessian(self,
hessian,
Mat H=None,
Mat P=None,
args=None,
kargs=None) |
|
|
|
|
|
setInitialTrustRegionRadius(self,
radius) |
|
|
|
setIterationNumber(self,
its) |
|
|
|
setJacobian(self,
jacobian,
Mat J=None,
Mat P=None,
args=None,
kargs=None) |
|
|
|
setJacobianDesign(self,
jacobian_design,
Mat J=None,
args=None,
kargs=None) |
|
|
|
setJacobianEquality(self,
jacobian_equality,
Mat J=None,
Mat P=None,
args=None,
kargs=None) |
|
|
|
setJacobianResidual(self,
jacobian,
Mat J=None,
Mat P=None,
args=None,
kargs=None) |
|
|
|
setJacobianState(self,
jacobian_state,
Mat J=None,
Mat P=None,
Mat I=None,
args=None,
kargs=None) |
|
|
|
|
|
setMaximumFunctionEvaluations(self,
mit) |
|
|
|
setMaximumIterations(self,
mit) |
|
|
|
setMonitor(self,
monitor,
args=None,
kargs=None) |
|
|
|
setObjective(self,
objective,
args=None,
kargs=None) |
|
|
|
setObjectiveGradient(self,
objgrad,
Vec g,
args=None,
kargs=None) |
|
|
|
|
|
setPythonContext(self,
context) |
|
|
|
setPythonType(self,
py_type) |
|
|
|
setResidual(self,
residual,
Vec R=None,
args=None,
kargs=None) |
|
|
|
|
|
setStateDesignIS(self,
IS state=None,
IS design=None) |
|
|
|
setTolerances(self,
gatol=None,
grtol=None,
gttol=None) |
|
|
|
|
|
|
|
setUpdate(self,
update,
args=None,
kargs=None) |
|
|
|
setVariableBounds(self,
varbounds,
args=None,
kargs=None) |
|
|
|
|
|
view(self,
Viewer viewer=None) |
|
|
Inherited from Object :
__copy__ ,
__deepcopy__ ,
__eq__ ,
__ge__ ,
__gt__ ,
__le__ ,
__lt__ ,
__ne__ ,
__nonzero__ ,
compose ,
decRef ,
getAttr ,
getClassId ,
getClassName ,
getComm ,
getDict ,
getName ,
getRefCount ,
getTabLevel ,
incRef ,
incrementTabLevel ,
query ,
setAttr ,
setName ,
setTabLevel ,
stateGet ,
stateIncrease ,
stateSet ,
viewFromOptions
Inherited from object :
__delattr__ ,
__format__ ,
__getattribute__ ,
__hash__ ,
__init__ ,
__reduce__ ,
__reduce_ex__ ,
__repr__ ,
__setattr__ ,
__sizeof__ ,
__str__ ,
__subclasshook__
|