finite distributivity - meaning and definition. What is finite distributivity
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What (who) is finite distributivity - definition

Law of distributivity

Finite morphism         
In algebraic geometry, a finite morphism between two affine varieties X, Y is a dense regular map which induces isomorphic inclusion k\left[Y\right]\hookrightarrow k\left[X\right] between their coordinate rings, such that k\left[X\right] is integral over k\left[Y\right]. This definition can be extended to the quasi-projective varieties, such that a regular map f\colon X\to Y between quasiprojective varieties is finite if any point like y\in Y has an affine neighbourhood V such that U=f^{-1}(V) is affine and f\colon U\to V is a finite map (in view of the previous definition, because it is between affine varieties).
Finite element method         
  • A function in <math>H_0^1,</math> with zero values at the endpoints (blue), and a piecewise linear approximation (red)
  • (c) The computed solution, <math>u(x, y)=1-x^2-y^2.</math>
  • (b) The [[sparse matrix]] ''L'' of the discretized linear system
  • Solving the two-dimensional problem <math>u_{xx}+u_{yy}=-4</math> in the disk centered at the origin and radius 1, with zero boundary conditions.<br />(a) The triangulation.
  • url=https://ris.utwente.nl/ws/files/6153316/CMBBE2014-Hamid-Submitted.pdf}}</ref>
  • A piecewise linear function in two dimensions
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NUMERICAL METHOD FOR SOLVING PHYSICAL OR ENGINEERING PROBLEMS
Finite element analysis; Finite Element Analysis; Finite elements; Finite element; Finite Element Method; Engineering treatment of the finite element method; Finite element solver; Finite element meshing; Finite element problem; Engineering treatment of the Finite Element Method; Finite element methods; Finite difference method based on variation principle; Finite elements analysis; Finite-element method; Finite-element analysis; Finite-element methods; Nonlinear finite element analysis
The finite element method (FEM) is a popular method for numerically solving differential equations arising in engineering and mathematical modeling. Typical problem areas of interest include the traditional fields of structural analysis, heat transfer, fluid flow, mass transport, and electromagnetic potential.
Finite Automaton         
  • TTL]] counter, a type of state machine
  • Fig. 5: Representation of an acceptor; this example shows one that determines whether a binary number has an even number of 0s, where ''S''<sub>1</sub> is an ''accepting state'' and ''S''<sub>2</sub> is a ''non accepting state''.
  • Fig. 3 Example of a simple finite-state machine
  • Fig. 6 Transducer FSM: Moore model example
  • Fig. 7 Transducer FSM: Mealy model example
  • Fig. 4: Acceptor FSM: parsing the string "nice".
  • Fig. 2 SDL state machine example
  • A turnstile
  • State diagram for a turnstile
  • Fig. 1 UML state chart example (a toaster oven)
MATHEMATICAL MODEL OF COMPUTATION; ABSTRACT MACHINE THAT CAN BE IN EXACTLY ONE OF A FINITE NUMBER OF STATES AT ANY GIVEN TIME
Finite state machines; Finite state automaton; Finite automaton; Finite state automata; Start state; Finite automata; Deterministic automata; State machine; SFSM; Finite State Machine; Finate state automata; Accept state; Accepting state; State Machine; State machines; Recognizer; Recognizers; Sequence detector; Sequence detectors; Finite state acceptor; Finite State Automaton; State transition function; Finite State Machines; Finite-state automata; Finite-state automaton; Finite state machine; Finite state grammar; Finite-state machines; Finite state-machine; Finite state language; Finite state; Finite Automata; Finite state recognizer; Finite-state recognizer; State-machine; Acceptor (finite-state machine); Optimization of finite state machines; Recogniser

Wikipedia

Principle of distributivity

The principle of distributivity states that the algebraic distributive law is valid, where both logical conjunction and logical disjunction are distributive over each other so that for any propositions A, B and C the equivalences

A ( B C ) ( A B ) ( A C ) {\displaystyle A\land (B\lor C)\iff (A\land B)\lor (A\land C)}

and

A ( B C ) ( A B ) ( A C ) {\displaystyle A\lor (B\land C)\iff (A\lor B)\land (A\lor C)}

hold.

The principle of distributivity is valid in classical logic, but both valid and invalid in quantum logic.

The article "Is Logic Empirical?" discusses the case that quantum logic is the correct, empirical logic, on the grounds that the principle of distributivity is inconsistent with a reasonable interpretation of quantum phenomena.