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n
-by-m
matrices.
extend
ed with the
variables in vars
, would cause the fewest number of
cluster enlarge
ments.
n
-by-n
symmetric positive definite matrix.
Cluster
s in this junction tree.
e
= Ci
-> Cj.
true
iff this edge is consistent.
true
if this filter contains the landmark
with the supplied identifier.
true
if this filter contains the landmark
with the supplied identifier.
true
if this filter contains the landmark
with the supplied identifier.
true
if this cluster contains the supplied
set of variables.
true
if this junction tree contains the
supplied variable.
true
if this cluster contains the supplied
variable.
var
from all clusters but one and returns
that cluster.
var
from all clusters but cluster
(which must contain var
).
tjtf
package since the virtual machine was
started.
f
.
Flops.count(long)
will
increment the flop count.
null
if next()
has not yet been called.
true
, then this iterator has traversed a node
more than once.
null
, this is a list of ThinJunctionTree.Contraction
s that must first be executed
before this contraction can be executed.
n
-by-n
matrix
that is possibly symmetric positive definite.
Variable
s.
true
, then the capacity (i.e., the actual
dimension of Gaussian.vP
and Gaussian.mP
) of this Gaussian is
doubled when it must be increased to accomodate new variables;
otherwise it is increased only enough to admit the new variables.
Node
s to the Edge
s to them.
Edge
used to arrive
at that node (most recently).
Edge
s
incident from this node.
QueueElement
objects ordered by
their priorities.
equals
so that two variable references are equal iff they refer to the
same object.
true
if two elements are the same, which
is true only when the corresponding items are equal.
true
if this and the supplied object are
equal.
equals
so that two edges are equal if
their termini are the equal.
equals
so that two nodes
are equal iff they are the same object.
cluster
covers
var
and validity and consistency are preserved.
Variable
s.
Set
s of the JunctionTree.Cluster
s of this
junction tree.
Cluster
s
containing the supplied variable.
u
of x.
null
if there is no such cluster.
null
is returned.
z
)
with respect to the landmark state:
z
(xt,
u)Variable
s bound by this Gaussian.
Variable
s in
this junction tree.
Variable
s in the
filtered belief state.
Variable
s in the
filtered belief state.
Variable
s in the
filtered belief state.
Variable
s in the
filtered belief state.
hashCode
.
hashCode
so the hash code of an edge is
the sum of the hash codes of its nodes.
hashCode
to be the same as
that of hashCode
.
true
if this iterator has more items.
true
if the iteration has more elements.
true
if the iteration has more elements.
true
if the iteration has more elements.
Integer
landmark identifiers to Variable
s representing the corresponding landmark's state.
n
-by-n
matrix that is possibly
symmetric positive definite.
true
if this Gaussian is represented using
the canonical parameterization, i.e., using the vector h and the (positive definite) matrix
L.
true
if the traversal has visited a node
more than once, implying the existence of a cycle if the graph is
undirected.
true
iff this queue is empty.
true
if this cluster is a leaf.
true
if this Gaussian is represented using
the moment parameterization, i.e., using the mean vector m and the (positive definite)
covariance matrix S.
Variable
s representing landmarks' states
to Integer
identifiers of the corresponding landmarks .
n
-by-n
square matrix.
Gaussian.isMoment
is true
and L otherwise.
x
;y
-
x
|z
)Node
in the iteration.
Edge
s that were traversed in order
to reach the Node most recently returned by next()
.
n
samples from a k
-dimensional
multivariate Gaussian distribution represented using a covariance
matrix.
true
if the supplied node satisfies this
predicate.
limit
.
limit
.
e
= Ci ->
Cj.String
representation of this
Gaussian that prints out its parameters using Matlab notation.
clustersBySize
index of cluster sizes.
Variable
s bound by this Gaussian.
Variable
s present in this junction tree.
Variable
s
bound by this Gaussian.
Variable
s bound by this
Gaussian and whose values are Integer
s giving
the starting index of the corresponding subvectors of Gaussian.vP
and subblocks of Gaussian.mP
.
Variable
to the Set
of Cluster
s containing it.
Gaussian.isMoment
is true
and h otherwise.
Linearization.y
(for convenience).
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