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  2. Event bubbling - Wikipedia

    en.wikipedia.org/wiki/Event_bubbling

    Event bubbling is a type of DOM event propagation [1] where the event first triggers on the innermost target element, and then successively triggers on the ancestors (parents) of the target element in the same nesting hierarchy till it reaches the outermost DOM element or document object [2] (Provided the handler is initialized). It is one way ...

  3. DOM event - Wikipedia

    en.wikipedia.org/wiki/DOM_event

    event.stopPropagation(): the event is stopped after all event listeners attached to the current event target in the current event phase are finished; event.stopImmediatePropagation(): the event is stopped immediately and no further event listeners are executed; When an event is stopped it will no longer travel along the event path.

  4. Event (computing) - Wikipedia

    en.wikipedia.org/wiki/Event_(computing)

    Event propagation models, such as bubbling, capturing, and pub/sub, define how events are distributed and handled within a system. Other key aspects include event loops, event queueing and prioritization, event sourcing, and complex event processing patterns. These mechanisms contribute to the flexibility and scalability of event-driven systems.

  5. Transfer-matrix method (optics) - Wikipedia

    en.wikipedia.org/wiki/Transfer-matrix_method...

    Propagation of a ray through a layer. The transfer-matrix method is a method used in optics and acoustics to analyze the propagation of electromagnetic or acoustic waves through a stratified medium; a stack of thin films. [1] [2] This is, for example, relevant for the design of anti-reflective coatings and dielectric mirrors.

  6. Telegrapher's equations - Wikipedia

    en.wikipedia.org/wiki/Telegrapher's_equations

    Equivalent circuit of an unbalanced transmission line (such as coaxial cable) where: 2/Z o is the trans-admittance of VCCS (Voltage Controlled Current Source), x is the length of transmission line, Z(s) ≡ Z o (s) is the characteristic impedance, T(s) is the propagation function, γ(s) is the propagation "constant", s ≡ j ω, and j 2 ≡ −1.

  7. Belief propagation - Wikipedia

    en.wikipedia.org/wiki/Belief_propagation

    Gaussian belief propagation is a variant of the belief propagation algorithm when the underlying distributions are Gaussian. The first work analyzing this special model was the seminal work of Weiss and Freeman. [15] The GaBP algorithm solves the following marginalization problem:

  8. DPLL algorithm - Wikipedia

    en.wikipedia.org/wiki/DPLL_algorithm

    The DPLL algorithm enhances over the backtracking algorithm by the eager use of the following rules at each step: Unit propagation If a clause is a unit clause, i.e. it contains only a single unassigned literal, this clause can only be satisfied by assigning the necessary value to make this literal true. Thus, no choice is necessary.

  9. Propagator - Wikipedia

    en.wikipedia.org/wiki/Propagator

    Here ():= {< is the Heaviside step function, := () is the proper time from x to y, and is a Bessel function of the first kind. The propagator is non-zero only if y ≺ x {\displaystyle y\prec x} , i.e., y causally precedes x , which, for Minkowski spacetime, means