Qué (quién) es discrete simulation - definición

TYPE OF SIMULATION

Discrete event simulator; Discrete Event Simulation; Future event list; Discrete event simulation; Future Event List

Discrete-event simulation

A discrete-event simulation (DES) models the operation of a system as a (discrete) sequence of events in time. Each event occurs at a particular instant in time and marks a change of state in the system.

https://en.wikipedia.org/wiki/Discrete-event_simulation

Discrete rate simulation

Wikipedia talk:Articles for creation/Discrete rate simulation

In the field of simulation, a discrete rate simulation models the behavior of mixed discrete and continuous systems. This methodology is used to simulate linear continuous systems, hybrid continuous and discrete-event systems, and any other system that involves the rate-based movement or flow of material from one location to another.

https://en.wikipedia.org/wiki/Discrete_rate_simulation

Discrete Laplace operator

ANALOG OF THE CONTINUOUS LAPLACE OPERATO

Discrete Schrödinger operator; Discrete Green's function; Discrete laplace operator; Discrete Schrodinger operator; Discrete Schroedinger operator; Discrete Laplacian operator; Laplace filter

In mathematics, the discrete Laplace operator is an analog of the continuous Laplace operator, defined so that it has meaning on a graph or a discrete grid. For the case of a finite-dimensional graph (having a finite number of edges and vertices), the discrete Laplace operator is more commonly called the Laplacian matrix.

https://en.wikipedia.org/wiki/Discrete_Laplace_operator

Wikipedia

Discrete-event simulation

A discrete-event simulation (DES) models the operation of a system as a (discrete) sequence of events in time. Each event occurs at a particular instant in time and marks a change of state in the system. Between consecutive events, no change in the system is assumed to occur; thus the simulation time can directly jump to the occurrence time of the next event, which is called next-event time progression.

In addition to next-event time progression, there is also an alternative approach, called incremental time progression, where time is broken up into small time slices and the system state is updated according to the set of events/activities happening in the time slice. Because not every time slice has to be simulated, a next-event time simulation can typically run faster than a corresponding incremental time simulation.

Both forms of DES contrast with continuous simulation in which the system state is changed continuously over time on the basis of a set of differential equations defining the rates of change of state variables.

https://en.wikipedia.org/wiki/Discrete-event simulation