INDEX
Absorbing state
Accessible states
Acyclic graphs
as chain graphs
directed
Adjacency matrix
Adjacent vertices
Advanced queueing theory
Aggregate arrival rates
Algorithms. See also Hungarian algorithm; Inference algorithms; Kruskal’s algorithm; Sum-product algorithm
approximate
clique tree
consensus
convolution
exact
junction tree
maximum weight spanning tree
for product-form queueing networks
Ancestor
Aperiodic state
Approximate algorithms
Approximate solutions
Approximations, of queueing systems and networks
Arrival/departure processes, variations about the mean in. See also Arrivals/departures; Departure process
Arrival processes, in open networks
Arrival rate for a process. See also Aggregate arrival rates; Average customer arrival rate; External Poisson arrival rate; Total arrival rate
Arrivals/departures, cumulative number of
Arrival stream
Arrival theorem
Arriving pattern, of queueing systems
Assignment problem
bipartite graph for
solution of
Attractor cycles
Attractors
Autocorrelation function
Autocorrelation matrix
Autocovariance matrix
Auxiliary servers
Average customer arrival rate
Backlog model
Balance equations. See also Local balance equations
Balking system
Base network
Basin of attraction
Batch arrival system
Bayesian estimation
Bayesian networks (BNs)
classification of
general conditional independence and d-separation
learning
moralizing
parameter learning in
probabilistic inference in
Bayesian network structure, known and unknown
Bayes’ theorem
BCMP (Baskett, Chandy, Muntz, Palacios) networks
routing behavior in
service disciplines in
service time distributions in
BCMP theorem
Belief networks
Belief propagation
in a junction tree
Bernoulli distribution
Bernoulli random graphs
Bernoulli random variable
Betweenness centrality
Biased coin problem
Binomial distribution
Binomial random variable
Biological networks
Biological processes, gene-controlled
Bipartite graphs
for the assignment problem
Birth and death processes
Blocked-calls-lost model
Blocking system
Boolean algebra
Boolean functions
Petri nets for
Boolean networks. See also Probabilistic Boolean networks (PBNs); Random Boolean networks (RBNs)
advantages and disadvantages of
applications of
behavior of
classical
connectivity of
deterministic nature of
fundamentals of
Petri net analysis of
Petri net models of
Boolean network state transition diagram
Boundary conditions
Boundedness property
Bribing system
Bridges
Brooks’ theorem
Brownian approximation
for a G/G/1 queue
Brownian motion
as a continuous-time approximation
with drift
reasons for studying
reflected
scaled
as scale invariant
Brownian motion approximation, of the G/G/1 queue
Bulk service system
Burke’s output theorem
Centrality measures, in complex networks
Central limit theorem (CLT). See also Functional central limit theorem (FCLT)
Central moments
Chain graphs
Chain in a graph
Chaotic network
Chapman–Kolmogorov equations
for the continuous-time Markov chain
Characteristic polynomial
Cheating system
Chebyshev inequality
Child
Children of a vertex
Chord
Chordal graphs
Chromatic index
Chromatic number
Circuits. See also Euler circuit
Citation networks
Classical Boolean network
Classical Brownian motion
Classical Jackson network
Class membership problem
Clique of a graph
identifying
Clique tree algorithm
Clique tree propagation
Cliquishness of a network
Closed communicating class
Closed Jackson queueing network
Closed queueing networks
diffusion approximation of
flow equations for
modeling
possible number of states in
solving
Closed walks
Closeness centrality
Cluster graph
generating
Clustering, in complex networks
Clustering coefficient
in random graphs
in small-world networks
Clusters
Cluster tree
generating
Coefficient of variation
Coloring, of graphs
Communication networks
Complement of a graph
Complete bipartite graph
Complete data
Complete graphs
Complete s-partite graph
Complex networks
centrality measures in
characterization of
clustering in
geodesic distances in
models of
network entropy in
Complex systems, modeling
Concurrency/parallelism, modeling
Conditional independence
general
Conditional probability density functions
Conditional probability distributions (CPDs)
Conditional probability tables (CPTs)
Configuration, of factor graphs
Configuration model
Connected graphs
Connectedness, in random networks
Connection matrix
Connections, in factor graphs
Connectivity, network
Connectivity number
Consensus
over fixed networks
over random networks
Consensus algorithms
Consensus matrix
Conservation property
Continuous Bayesian networks
Continuous Petri nets
Continuous random variables
Continuous-state Markov process
Continuous-state stochastic process
Continuous-time approximation, Brownian motion as
Continuous-time Gaussian process
Continuous-time Markov chains. See also Birth and death processes
Chapman–Kolmogorov equation for
Continuous-time Markov process
Continuous-time process
Continuous-time stochastic processes
modeling
Convergence/divergence parameter
Convolution algorithm
for a multiclass network
Convolution integral
Co-parents. See also Parent
Correlation coefficient
Counting processes
Covariance
Covariance matrix
Covering
Covering number
Coxian distribution
Coxian random variable
Coxian stages
Critical behavior
c-server loss system
c-server queueing system
c-server system
Cumulative distribution function (CDF)
Laplace transform of
Current loop method
Customer classes
Customers
approximating the number of
in a queueing system
Cut edge
Cut sets
Cut vertices
Cycle length of an attractor
Cycle rank
Cycles. See also Fundamental cycle; Hamiltonian cycle
Data
complete
incomplete
Deadlock condition
Defection system
Degree distribution
in complex networks
in random graphs
Degree of a vertex
Density of a graph
Deoxyribonucleic acid (DNA)
Departure process. See also Arrival/departure processes
Descendant
Deterministic network model
Deterministic service time
Diagonalization method
Diameter. See also Radius of a graph
of a network
in random networks
Differential equations
Diffusion approximations
of closed queueing networks
of a G/G/1 queue
of open queueing networks
Diffusion equation
Diffusion process
parameters for
Digraphs
Dirac delta function
Dirac’s theorem
Directed acyclic graphs (DAGs)
converting into factor graphs
Directed graphical models
Directed graphs
chain graphs and
moral graphs and
Direct method
Disconnected graphs
Disconnecting set
Discrete Bayesian networks
Discrete Petri nets
Discrete random variables
Discrete-state Markov process
Discrete-state stochastic process
Discrete-time Markov chains
Discrete-time Markov process
Discrete-time random process
Distance between vertices
Distribution functions
D/M/1 queue
Domain of a random variable
Dominating set
Domination number
Donsker’s theorem
Doubly stochastic matrix
Drift
Brownian motion with
reflected Brownian motion with
Drift rate
d-separation
Dwell time
Dynamic Bayesian networks (DBNs)
joint probability distribution of
Edge coloring
Edge-connectivity number
Edges
Effective service time
Eigenvalues, spectral properties of graphs and
Eigenvectors
Ek/M/1 queue
Elementary queueing theory
Kendall notation
Little’s formula
M/G/1 queueing system
M/M/1 queueing system
M/M queueing system examples
queueing systems
Elementary renewal theorem
Enabled transitions
End vertex
Entropy. See also Graph entropy; Network entropy
Equilibrium distribution
Equilibrium state distribution
Equivalent planar graphs
Erdos–Renyi graphs
Ergodic chain
Ergodic probability transfer
Ergodic states
Erlang distribution
Erlang-k distribution
Erlang-k random variable
Erlang random variable
probability density function for kth-order
Erlang’s loss formula
Error-correcting codes
Euler circuit
Euler graphs
Euler’s formula, for planar graphs
Euler trail
Events
Exact algorithms
Expected residual service time
Expected value(s) (mean)
Expected waiting time
Experiments
Exponential degree distribution
Exponential distribution
Exponentially distributed service times
Exponential random variable
Expression level, of genes
Exterior region, of a planar graph
Externally stable set
External Poisson arrival rate
Factor graphs
Factor nodes
FCLT arguments. See also Functional central limit theorem (FCLT)
Feedback loops
Feed-forward queueing network
Financial markets, modeling
Finite-population schemes
Firing quantity. See also Transition firing
First-come, first-served (FCFS) service discipline
First-come, first-served service policy
in BCMP networks
First-in, first-out (FIFO) discipline
First-order Markov process
First-order Markov property
First passage
Fixed networks
consensus over
time to convergence in
Fixed service time
Flow balance equation
Flow equations, for closed queueing network
Fluid approximation
of a G/G/1 queue
of a queueing network
Forests
Forney–style factor graph (FFG)
Four-color problem
Frozen network
Functional central limit theorem (FCLT). See also FCLT arguments
Function bias
Fundamental cycle
Fundamental equation of renewal theory
FW(w), Laplace transform of
Gaussian noise
maximum a posteriori estimation with
maximum likelihood estimation with
Gaussian processes. See also Continuous-time Gaussian process; White Gaussian process; Zero-mean Gaussian process
properties of
Gene activity profiles (GAPs)
Gene expression
Gene expression level
Generalized Jackson network
Generalized networks (G-networks)
extensions of
with signals
Generalized stochastic Petri nets
General Markov graph
General phase-type distribution
Genetic regulatory networks (GRNs)
estimating
Gene transcription
Geodesic distances
in complex networks
in small-world networks
Geodesic path
Geometric distribution
Geometric random graphs
Geometric random variable
G/G/1 queue
Brownian approximation for
Brownian motion approximation of
diffusion approximation of
fluid approximation of
Giant component emergence
in random graphs
Global balance
G/M/1 imbedded Markov chain
G/M/1 queue
G/M/1 queueing system
G/M/3/20 queueing system
G-networks. See Generalized networks (G-networks)
Gordon–Newell network
limitations of
Graph coloring
Graph entropy
Graphical models, types of
Graphical network models
Graphs. See also Random graphs
cluster
locally consistent
reachability
topological properties of
triangulated
undirected
Graph theory
basic concepts in
bipartite graphs and matchings
chain graphs
complement of a graph
connected graphs
cut sets, bridges, and cut vertices
directed acyclic graphs
elements of
Euler graphs
factor graphs
graph coloring
graph entropy
Hamiltonian graphs
independent set, domination, and covering
isomorphic graphs
matrix algebra of graphs
minimum weight spanning trees
moral graphs
planar graphs
random graphs
spectral properties of graphs
as a tool for detecting hidden structures
trees and forests
triangulated graphs
H2/M/1 queue
Hall’s theorem
Hamiltonian cycle
Hamiltonian graphs
Hamiltonian path
Hammersley–Clifford theorem
Hamming distance
Heavy traffic approximate solution techniques
Heavy traffic approximations
of a queueing system
Heavy traffic assumption
Heterogeneous Poisson process
Heterogeneous queueing system
Hidden variables
Holding time
Homogeneous Poisson process
Homogeneous queueing system
Homogeneous state transition probability
Homogenous Markov chains
Hungarian algorithm
Hybrid Bayesian networks
Hybrid Petri nets
Hyperexponential arrival process, second-order
Hyperexponential distribution
Hyperexponential random variable, probability density function for kth-order
Hyperexponential server, k-stage
Hypernodes
Hysteresis behavior
Identically distributed service times
Imbedded Markov chain
G/M/1
M/G/1
state transition matrix of
Immediate transitions
Incident edge
Incomplete data
Indegree of a vertex
Independence number
Independent edge set
Independent increment processes
Independent interarrival times
Independent random variables, sums of
Independent set
Inference, in a junction tree
Inference algorithms, types of
Infinite server (IS). See also IS service discipline
in BCMP networks
Information networks, detecting hidden structures in
Inhibitor arc
Initial marking
Interaction graph
Interarrival times
deterministic
statistically independent
Interior regions, of a planar graph
Internally stable set
Interslice arcs
Intraslice arcs
Irreducible Markov chain
Isolated vertex
Isomorphic graphs
IS service discipline. See also Infinite server (IS)
Jackson networks
generalized versus classical
limitations of
Jockeying system
Joint distribution. See also Joint probability distribution
Joint PMF. See also Probability mass function (PMF)
Joint probability
Joint probability distribution
of dynamic Bayesian networks
Joint probability mass function
Join tree
Junction graphs, potential functions for
Junction tree algorithm
Junction tree property
Junction trees
belief propagation in
generating
inference in
Kauffman model
k-chromatic graph
k-colorable graph
K-dimensional functions. See also Multidimensional diffusion equation; N-dimensional entries
k-edge chromatic graph
k-edge colorable graph
k-edge connected graphs
Kendall notation
Ki, probability mass function of
Kp, probability mass function of
K random variable, probability mass function of
k-regular graphs
k-regular networks
Kruskal’s algorithm
k-stage hyperexponential server
kth-order Coxian random variable
kth-order Erlang random variable
probability density function for
kth-order hyperexponential random variable, probability density function for
Laplace–Stieltjes transform (LST)
Laplace transform, of FW(w)
Laplacian matrix
eigenvalues of
Last-come, first-served preemptive resume (LCFS PR) discipline, in BCMP networks
Last-come, first-served (LCFS) service discipline
Last-come, first-served service policy
Last-in, first-out (LIFO) discipline
Lattice networks
Law of large numbers
Law of total probability
Leaf node
Leaf vertex
Learning Bayesian networks
Likelihood function
Limiting distribution
Limiting state probabilities
determining
Limit theorems
Lindley’s integral equations
Linear planar graph
Little’s formula
Liveness, Petri net
Load balancing
Local balance
condition
equations
Local functions
Locally consistent graph
Logarithmic likelihood function
Loopy belief propagation
Marginal probability distribution
Marking
Markov blanket
Markov chain Monte Carlo algorithm
Markov chain rule
Markov chains
states of
time-homogeneous
Markovian queueing networks
with feedback
Markovian queueing systems
Markov inequality
Markov networks
Markov processes
types of
Markov property
first-order
Markov random fields
Markov random graph
Marriage problem
Matching
Matrix algebra, of graphs. See also Adjacency matrix; Autocorrelation matrix; Autocovariance matrix; Connection matrix; Consensus matrix; Covariance matrix; Doubly stochastic matrix; Laplacian matrix; N × N routing matrix; Path matrix; Probability matrix; Routing matrix; State transition matrix; State transition probability matrix; Stochastic matrix; Substochastic matrix; Transition probability matrix
Matrix method
Maximal cliques
Maximal independent set
Maximum a posteriori (MAP) estimation
with Gaussian noise
Maximum independence set
Maximum likelihood estimation (MLE)
with Gaussian noise
Maximum likelihood estimators
Maximum matching
Maximum weight spanning tree
Maximum weight spanning tree algorithm
M/D/1 queue
M/D/1 queueing system
Mean
approximation of
moments about
variations about
Mean delay
Mean delay time
Mean duration
of type 1 vacation
of type 2 vacation
Mean interarrival time
Mean residual service time
Mean service time
Mean sojourn time
Mean time in system
Mean time to serve
Mean total time
Mean value analysis (MVA)
Mean waiting time
bounds of
M/Ek/1 queue
Messenger ribonucleic acid (mRNA)
M/G/1 queue
with priority
waiting time distribution of
M/G/1 queueing system
M/Hk/1 queue
Minimal covering
Minimal dominating set
Minimum covering
Minimum dominating edge set
Minimum dominating set
Minimum weight spanning trees
M/M/1/3 queueing problem
M/M/1/K queueing system
M/M/1 queue
M/M/1 queueing analysis techniques
M/M/1 queueing system
total time and waiting time distributions of
M/M/1 threshold queueing systems
M/M/1 vacation queueing systems, with exceptional first vacation
M/M/2 queueing problem
M/M/4/4 queueing system
M/M/c/c queueing system
M/M/ci queueing system
M/M/c queue, departure process of
M/M/c queueing system
M/M queueing systems, examples of
Moments
about the mean
of random variables
Moral graphs
triangulating
Moralization
Moralizing Bayesian networks
Multiclass network, convolution algorithm for
Multiclass queueing networks, scheduling problem in
Multidimensional diffusion equation. See also K-dimensional functions; N-dimensional entries
Multigraphs
Multiple vacation queueing system
Multiplicity
Multiply connected Bayesian networks
Multiply connected network
Multiserver queueing system
Multiserver stochastic system
Multiserver vacation queueing system
Mutual exclusion, modeling
N-dimensional column vector. See also K-dimensional functions; Multidimensional diffusion equation
N-dimensional continuous-path process
N-dimensional discrete process
Negative binomial distribution
Negative customers
networks with
total arrival rate of
Neighbor of a vertex
Network bias
Network entropy, in complex networks
Network models
Networks. See also BCMP (Baskett, Chandy, Muntz, Palacios) networks; Closed queueing networks; Fixed networks; Generalized networks (G-networks); Genetic regulatory networks (GRNs); Gordon–Newell network; Graphical network models; Jackson networks; Markovian queueing networks; Petri nets (PNs); Product-form queueing networks; Queueing networks; Random networks
base
Bayesian
belief
biological
Boolean
chaotic
citation
cliquishness of
communication
complex
diameter of
feed-forward queueing
frozen
information
k-regular
lattice
Markov
multiclass
multiclass queueing
multiply connected
open
open queueing
ordered
perturbations of
with positive and negative customers
probabilistic
queueing
real-world
regular
scale-free
sensor
small-world
social
stochastic
three-node
transitivity of
Network state transition
Network wiring
N-K Boolean network
N × N routing matrix
Node-class pair
Node degree
Nodes. See also Hypernodes
factor
simplicial
variable
Nonexponentially distributed service times
Nonhomogeneous Markov chain
Nonhomogeneous Poisson processes
Nonpreemptive priority
Nonpreemptive priority queues
Nonrecurrent state
Nonzero eigenvalues
Normal distribution
Normal graph
Normalizing constant
Normal random variable
n-step state transition probability
Null recurrent state
Observable variables
Offspring of a vertex
Open networks, arrival processes in
Open queueing networks
diffusion approximation of
Optimal assignment problem
Ordered network
Order of a graph
Ore’s theorem
Outdegree of a vertex
Parameter learning, in Bayesian networks
Parameter set
Parent. See also Co-parents
Partially dynamic Bayesian networks
Partition function
Pascal distribution
Pascal random variable
Path. See also Hamiltonian path
Path matrix
Pendant vertex
Percolation theory
Percolation threshold
Perfect matching
Periodic state
Period of an attractor
“Per-node” steady-state distribution
Perrone–Frobenius theorem
Persistent state
Perturbations, network
Petri net analysis, of Boolean networks
Petri net liveness
Petri net model, of Boolean networks
Petri nets (PNs)
behavioral properties of
Petri net states
Phase transition
Phase-type distribution
Planar graphs
Euler’s formula for
Poisson arrivals see time averages (PASTA) property
Poisson distribution
Poisson processes
Poisson random graph
Poisson random variable
Pollaczek–Khinchin formula
Polynomials, characteristic
Polytrees
Population, in a queueing system
Positive customers
networks with
total arrival rate of
Positive recurrent state
Posterior distribution
Posterior probability
Posterior probability distribution, process of computing
Potential function concept
Potentials
Power-law distributions
Predictors
in probabilistic Boolean networks
Preemptive priority
Preemptive priority queues
Preemptive-repeat different queueing
Preemptive-repeat identical queueing
Preemptive-repeat policy
Preemptive-repeat priority
Preemptive-repeat with resampling queueing
Preemptive-repeat without resampling queueing
Preemptive-resume policy
Preemptive-resume priority
Preferential attachment
Primary server
Prior distribution
Priority, in queueing systems
Priority class 1 customers
Priority queues, classes of
Prior probability
Probabilistic Boolean networks (PBNs)
dynamics of
Probabilistic graphical model
Probabilistic inference, in Bayesian networks
Probabilistic network
Probabilities (probability). See also Conditional probability distributions (CPDs); Conditional probability tables (CPTs); Joint probability entries; Marginal probability distribution; Posterior probability entries; Prior probability; Probability distributions; Product rule of probability; State transition probabilities; Unconditional probability
covariance and correlation coefficient and
limit theorems and
limiting state
n-step state transition and
random sum of random variables and
random variables and
routing
state transition
steady-state
sums of independent random variables and
transform methods and
Probability density function (PDF)
s-transform of
Probability distributions
measuring
Probability functions, transition
Probability generating function
Probability mass function (PMF). See also Joint PMF
of Ki
of Kp
of a Markov random graph
of number of customers
of random variable K
z-transform of
Probability matrix
state transition
transition
Probability theory, dynamics of
Processor sharing (PS). See also PS service discipline
in BCMP networks
Product-form queueing networks
algorithms for
Product-form solution
Product-form stationary distribution
Product rule of probability
Protein–protein interactions
PS service discipline. See also Processor sharing (PS)
Queueing discipline
Queueing facility capacity
Queueing network models
Queueing networks
approximations of
diffusion approximation of
fluid approximation of
Queueing process
Queueing system notation
Queueing systems. See also Special queueing systems
approximations of
characteristics of
fluid approximation of
M/M/1
stable
vacation
Queueing theory
advanced
elementary
Queue lengths
in G-networks
obtaining
Queue parameters, relationships between
Queues
defined
tandem
Radius of a graph. See also Diameter; Spectral radius
Random Boolean networks (RBNs)
Random experiments
Random graphs
emergence of giant components of
Random incidence paradox
Random incidence principles
Random incidence problem
Random networks
characterization of complex networks
consensus over
defined
models of complex networks
random graphs
regular
Random process
Random regular networks
Random sequence
Random time
Random variables
Bernoulli
binomial
continuous
discrete
domain and range of
Erlang
exponential
geometric
kth-order Erlang (Erlang-k)
normal
Pascal
Poisson
random sum of
ranges of
standard normal
sums of independent
uncorrelated
Range of a random variable
r-connected vertices
Reachability diagram
Reachability graph
Reachable marking
Real-world networks
Recurrence equation
Recurrent state
Recursive equation
Recursive solutions
Reflected Brownian motion
with drift
Region of a planar graph
Regular graphs
Regular networks
Regulatory set
Reneging system
Renewal density
Renewal equation
Renewal events
Renewal function
Renewal processes
Renewal theory
fundamental equation of
Residual life
Residual time
Rewiring procedure
Ribonucleic acid (RNA)
Ripple effect
Root of a tree
Routing behavior, in BCMP networks
Routing matrix
Routing probabilities
Rush hour traffic model
Safe Petri net
Sample points
Sample space
Scaled Brownian motion
Scale-free networks
Scale-free properties, in random graphs
Scale invariance
Second-order approximation
Second-order hyperexponential arrival process
Second-order Markov processes
Semi-Eulerian graph
Sensor network
Separating set
Separator
Servers
number of
in a queueing system
utilization of
Service disciplines
in BCMP networks
Service in random order (SIRO)
Service interruption
Service rate
Service restart
Service time distributions
in BCMP networks
Siblings
Simple graphs
Simplicial node
Single chain
Single-server finite-capacity system
Single server finite customer population system
Single-server infinite-capacity queueing system
Single-server queueing systems
approximating
Singleton attractor
Single vacation queueing system
Singly connected Bayesian networks
“Six degrees of separation” concept
Size of a graph
Small-world networks
Small-world phenomenon
Social networks
Sojourn time. See also Mean sojourn time
Spanning cluster
Spanning forest
Spanning trees
minimum weight
s-partite graph
Special queueing systems
Spectral density of a graph
Spectral gap
Spectral graph theory
Spectral properties, of graphs
Spectral radius
Spectrum of a graph
Stable queueing system
Stable sets
Staircase effect
Standard Brownian motion
Standard Brownian process
Standard normal random variable
State classes
State description
States
accessible
classification of
communication among
of Markov chains
State space
State transition diagrams
for an M/G/1 imbedded Markov chain
State transition matrix, of an imbedded Markov chain
State transition probabilities
State transition probability matrix
State transition rate diagrams
State transitions, of networks
Static Bayesian networks
Stationary increment process
Stationary random processes
Statistically independent interarrival times
Steady-state analysis
Steady-state distribution
Steady-state equations, shortcut method for obtaining
Steady-state probabilities
Steady-state probability distribution, in BCMP networks
Step function
Stochastic balance
Stochastic balance equations
Stochastic matrix
Stochastic networks, networks unifying
Stochastic Petri nets
Stochastic processes
classification of
counting processes
as families of random variables
Gaussian processes
independent increment processes
Markov processes
Poisson processes
renewal processes
scale-invariant
states of
stationary increment process
stationary random processes
Stochastic sampling algorithm
Stock prices, modeling
s-transform
moment-generating property of
of probability density function
Strict-sense stationary processes
Strongly connected graphs
Structure learning
Subgraphs
Substochastic matrix
Sum-product algorithm
Synchronization, modeling
Synchronous update
System state modeling
Tagged priority class 1 customers
Tandem queues
Terminal edge
Terminal vertex
Three-node network
Threshold queue
Time. See also Continuous-time entries; Discrete-time entries; Mean waiting time entries; Service time distribution entries; Waiting time distribution entries
deterministic service
dwell
effective service
expected residual service
expected waiting
exponentially distributed service
fixed service
holding
identically distributed service
independent interarrival
interarrival
mean interarrival
mean residual service
mean service
mean sojourn
mean time in system
mean time to serve
mean total
nonexponentially distributed service
random
residual
sojourn
statistically independent interarrival
total mean interarrival
total mean service
total time distributions
uninterrupted service
virtual waiting
Time-dependent functions
Time-division multiplexing (TDM)
Timed Petri nets
Timed transitions
Time homogeneity property
Time homogeneous process
Time to convergence, in a fixed network
Topological properties, of graphs
Total arrival rate
Total delay
Total mean interarrival time
Total mean service time
Total time distributions, of the M/M/1 queueing system
Total workload
Traffic equations
Traffic flow equations
Traffic intensities
Trails. See also Euler trail
Trajectory
Transcription factors
Transform methods
Transient states
Transition firing. See also Firing quantity
Transition network
Transition probability functions
Transition probability matrix
Transition rate diagram
Transition rates
Transition rules
Transitions, enabled
Transitivity of a network
Trapping state
Trees. See also Clique tree propagation; Join tree; Junction tree entries; Polytrees; Spanning trees
cluster
Triangulated graphs
Triangulated moral graphs
Truth tables
Two-dimensional state description
Two-dimensional state space
Two-queue network
Two-sided Laplace transforms
Two-state birth and death process
Type 1 vacations
mean duration of
Type 2 vacations
mean duration of
Unconditional probability
Uncorrelated random variables
Undirected graphical models
Undirected graphs
moral graphs and
Uniform distribution
Uninterrupted service time
Utilization factor
Vacation queueing systems
Valency of a vertex
Variable elimination
Variable nodes
Variables
hidden
observable
Variance
approximation of
Variational methods
Vertex cut
Vertices
Virtual waiting time
Visit ratio
Vizing’s theorem
Waiting time distributions
of the M/G/1 queue
of the M/M/1 queueing system
Walk in a graph
Watts–Strogatz small-world network
Weak law of large numbers
Weighted graphs
Weights
White Gaussian process
N-dimensional
Wide-sense stationary (WSS) processes
Wiener process
Work conservation rule
Zero-mean Gaussian process
z-transform
moment-generating property of