Finite State Process
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Finite-state machine — State machine redirects here. For infinite state machines, see State transition system. For fault tolerance methodology, see State machine replication. SFSM redirects here. For the Italian railway company, see Circumvesuviana. A finite state… … Wikipedia
Finite state machine — A finite state machine (FSM) or finite state automaton (plural: automata ) or simply a state machine, is a model of behavior composed of a finite number of states, transitions between those states, and actions. A finite state machine is an… … Wikipedia
Deterministic finite-state machine — An example of a Deterministic Finite Automaton that accepts only binary numbers that are multiples of 3. The state S0 is both the start state and an accept state. In the theory of computation and automata theory, a deterministic finite state… … Wikipedia
State transition table — In automata theory and sequential logic, a state transition table is a table showing what state (or states in the case of a nondeterministic finite automaton) a finite semiautomaton or finite state machine will move to, based on the current state … Wikipedia
Finite-difference time-domain method — Finite difference time domain (FDTD) is a popular computational electrodynamics modeling technique. It is considered easy to understand and easy to implement in software. Since it is a time domain method, solutions can cover a wide frequency… … Wikipedia
Finite element method — The finite element method (FEM) (sometimes referred to as finite element analysis) is a numerical technique for finding approximate solutions of partial differential equations (PDE) as well as of integral equations. The solution approach is based … Wikipedia
Process calculus — In computer science, the process calculi (or process algebras) are a diverse family of related approaches to formally modelling concurrent systems. Process calculi provide a tool for the high level description of interactions, communications, and … Wikipedia
Markov decision process — Markov decision processes (MDPs), named after Andrey Markov, provide a mathematical framework for modeling decision making in situations where outcomes are partly random and partly under the control of a decision maker. MDPs are useful for… … Wikipedia
Software development process — Activities and steps Requirements Specification … Wikipedia
Kahn process networks — ( KPNs , or process networks ) is a distributed model of computation ( MoC ) where a group of deterministic sequential processes are communicating through unbounded FIFO channels. The resulting process network exhibits deterministic behavior that … Wikipedia
Markov additive process — In applied probability, a Markov additive process (MAP) {(X(t),J(t)) : t ≥ 0} is a bivariate Markov process whose transition probability measure is translation invariant in the additive component X(t). That is to say, the… … Wikipedia
