dynamic recursion - definizione. Che cos'è dynamic recursion
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Cosa (chi) è dynamic recursion - definizione

Alpha recursion; Α-recursion theory

Aerospool WT9 Dynamic         
  • Aerospool WT9 Dynamic with fixed landing gear
  • Aerospool WT9 Dynamic with retractable gear
  • Aerospool WT9 Dynamic in flight
LIGHT SPORT AIRCRAFT BY AEROSPOOL IN SLOVAKIA
Aerospool WT 9 Dynamic; Aerospool WT-9 Dynamic; Aerospool Dynamic
The Aerospool WT9 Dynamic is a Slovak ultralight and light-sport aircraft, designed and produced by Aerospool of Prievidza. The aircraft is supplied as a complete ready-to-fly-aircraft.
Tail call         
SUBROUTINE THAT CALLS ITSELF AS ITS FINAL ACTION
Tail recursion; Tail recursion modulo cons; Tail-recursive; Tail recursive; Tail call optimization; Tail Recursion; Tail-call optimization; Tailcall; Tail-call optimisation; Tail-call elimination; Tail-recursion; Tail-end recursion; Tail call elimination; Tail recursion elimination; Tail recursion optimization; Tail-recursion optimization; Proper tail recursion; Tail function; Tail recursive function; Tail-recursive function
In computer science, a tail call is a subroutine call performed as the final action of a procedure. If the target of a tail is the same subroutine, the subroutine is said to be tail recursive, which is a special case of direct recursion.
tail recursion         
SUBROUTINE THAT CALLS ITSELF AS ITS FINAL ACTION
Tail recursion; Tail recursion modulo cons; Tail-recursive; Tail recursive; Tail call optimization; Tail Recursion; Tail-call optimization; Tailcall; Tail-call optimisation; Tail-call elimination; Tail-recursion; Tail-end recursion; Tail call elimination; Tail recursion elimination; Tail recursion optimization; Tail-recursion optimization; Proper tail recursion; Tail function; Tail recursive function; Tail-recursive function
<programming> When the last thing a function (or procedure) does is to call itself. Such a function is called tail recursive. A function may make several recursive calls but a call is only tail-recursive if the caller returns immediately after it. E.g. f n = if n < 2 then 1 else f (f (n-2) + 1) In this example both calls to f are recursive but only the outer one is tail recursive. Tail recursion is a useful property because it enables {tail recursion optimisation}. If you aren't sick of them already, see recursion and {tail recursion}. [Jargon File] (2006-04-16)

Wikipedia

Alpha recursion theory

In recursion theory, α recursion theory is a generalisation of recursion theory to subsets of admissible ordinals α {\displaystyle \alpha } . An admissible set is closed under Σ 1 ( L α ) {\displaystyle \Sigma _{1}(L_{\alpha })} functions, where L ξ {\displaystyle L_{\xi }} denotes a rank of Godel's constructible hierarchy. α {\displaystyle \alpha } is an admissible ordinal if L α {\displaystyle L_{\alpha }} is a model of Kripke–Platek set theory. In what follows α {\displaystyle \alpha } is considered to be fixed.

The objects of study in α {\displaystyle \alpha } recursion are subsets of α {\displaystyle \alpha } . These sets are said to have some properties:

  • A set A α {\displaystyle A\subseteq \alpha } is said to be α {\displaystyle \alpha } -recursively-enumerable if it is Σ 1 {\displaystyle \Sigma _{1}} definable over L α {\displaystyle L_{\alpha }} , possibly with parameters from L α {\displaystyle L_{\alpha }} in the definition.
  • A is α {\displaystyle \alpha } -recursive if both A and α A {\displaystyle \alpha \setminus A} (its relative complement in α {\displaystyle \alpha } ) are α {\displaystyle \alpha } -recursively-enumerable. It's of note that α {\displaystyle \alpha } -recursive sets are members of L α + 1 {\displaystyle L_{\alpha +1}} by definition of L {\displaystyle L} .
  • Members of L α {\displaystyle L_{\alpha }} are called α {\displaystyle \alpha } -finite and play a similar role to the finite numbers in classical recursion theory.
  • Members of L α + 1 {\displaystyle L_{\alpha +1}} are called α {\displaystyle \alpha } -arithmetic.

There are also some similar definitions for functions mapping α {\displaystyle \alpha } to α {\displaystyle \alpha } :

  • A function mapping α {\displaystyle \alpha } to α {\displaystyle \alpha } is α {\displaystyle \alpha } -recursively-enumerable, or α {\displaystyle \alpha } -partial recursive, iff its graph is Σ 1 {\displaystyle \Sigma _{1}} -definable in ( L α , ) {\displaystyle (L_{\alpha },\in )} .
  • A function mapping α {\displaystyle \alpha } to α {\displaystyle \alpha } is α {\displaystyle \alpha } -recursive iff its graph is Δ 1 {\displaystyle \Delta _{1}} -definable in ( L α , ) {\displaystyle (L_{\alpha },\in )} .
  • Additionally, a function mapping α {\displaystyle \alpha } to α {\displaystyle \alpha } is α {\displaystyle \alpha } -arithmetical iff there exists some n ω {\displaystyle n\in \omega } such that the function's graph is Σ n {\displaystyle \Sigma _{n}} -definable in ( L α , ) {\displaystyle (L_{\alpha },\in )} .

Additional connections between recursion theory and α recursion theory can be drawn, although explicit definitions may not have yet been written to formalize them:

  • The functions Δ 0 {\displaystyle \Delta _{0}} -definable in ( L α , ) {\displaystyle (L_{\alpha },\in )} play a role similar to those of the primitive recursive functions.

We say R is a reduction procedure if it is α {\displaystyle \alpha } recursively enumerable and every member of R is of the form H , J , K {\displaystyle \langle H,J,K\rangle } where H, J, K are all α-finite.

A is said to be α-recursive in B if there exist R 0 , R 1 {\displaystyle R_{0},R_{1}} reduction procedures such that:

K A H : J : [ H , J , K R 0 H B J α / B ] , {\displaystyle K\subseteq A\leftrightarrow \exists H:\exists J:[\langle H,J,K\rangle \in R_{0}\wedge H\subseteq B\wedge J\subseteq \alpha /B],}
K α / A H : J : [ H , J , K R 1 H B J α / B ] . {\displaystyle K\subseteq \alpha /A\leftrightarrow \exists H:\exists J:[\langle H,J,K\rangle \in R_{1}\wedge H\subseteq B\wedge J\subseteq \alpha /B].}

If A is recursive in B this is written A α B {\displaystyle \scriptstyle A\leq _{\alpha }B} . By this definition A is recursive in {\displaystyle \scriptstyle \varnothing } (the empty set) if and only if A is recursive. However A being recursive in B is not equivalent to A being Σ 1 ( L α [ B ] ) {\displaystyle \Sigma _{1}(L_{\alpha }[B])} .

We say A is regular if β α : A β L α {\displaystyle \forall \beta \in \alpha :A\cap \beta \in L_{\alpha }} or in other words if every initial portion of A is α-finite.