maximal order complexity - significado y definición. Qué es maximal order complexity
Diclib.com
Diccionario ChatGPT
Ingrese una palabra o frase en cualquier idioma 👆
Idioma:

Traducción y análisis de palabras por inteligencia artificial ChatGPT

En esta página puede obtener un análisis detallado de una palabra o frase, producido utilizando la mejor tecnología de inteligencia artificial hasta la fecha:

  • cómo se usa la palabra
  • frecuencia de uso
  • se utiliza con más frecuencia en el habla oral o escrita
  • opciones de traducción
  • ejemplos de uso (varias frases con traducción)
  • etimología

Qué (quién) es maximal order complexity - definición

CONCEPT IN RING THEORY
Maximal order; Order (number theory); Noncommutative number field

Computational complexity         
MEASURE OF THE AMOUNT OF RESOURCES NEEDED TO RUN AN ALGORITHM OR SOLVE A COMPUTATIONAL PROBLEM
Asymptotic complexity; Computational Complexity; Bit complexity; Context of computational complexity; Complexity of computation (bit); Computational complexities
In computer science, the computational complexity or simply complexity of an algorithm is the amount of resources required to run it. Particular focus is given to computation time (generally measured by the number of needed elementary operations) and memory storage requirements.
complexity         
PROFESSIONAL ESPORTS ORGANIZATION BASED IN THE UNITED STATES
Los Angeles Complexity; CompLexity Gaming; LA Complexity; Complexity LA; CompLexity; Team CompLexity; CoL.Black; CoL
<algorithm> The level in difficulty in solving mathematically posed problems as measured by the time, number of steps or arithmetic operations, or memory space required (called time complexity, computational complexity, and space complexity, respectively). The interesting aspect is usually how complexity scales with the size of the input (the "scalability"), where the size of the input is described by some number N. Thus an algorithm may have computational complexity O(N^2) (of the order of the square of the size of the input), in which case if the input doubles in size, the computation will take four times as many steps. The ideal is a constant time algorithm (O(1)) or failing that, O(N). See also NP-complete. (1994-10-20)
computational complexity         
MEASURE OF THE AMOUNT OF RESOURCES NEEDED TO RUN AN ALGORITHM OR SOLVE A COMPUTATIONAL PROBLEM
Asymptotic complexity; Computational Complexity; Bit complexity; Context of computational complexity; Complexity of computation (bit); Computational complexities
<algorithm> The number of steps or arithmetic operations required to solve a computational problem. One of the three kinds of complexity. (1996-04-24)

Wikipedia

Order (ring theory)

In mathematics, an order in the sense of ring theory is a subring O {\displaystyle {\mathcal {O}}} of a ring A {\displaystyle A} , such that

  1. A {\displaystyle A} is a finite-dimensional algebra over the field Q {\displaystyle \mathbb {Q} } of rational numbers
  2. O {\displaystyle {\mathcal {O}}} spans A {\displaystyle A} over Q {\displaystyle \mathbb {Q} } , and
  3. O {\displaystyle {\mathcal {O}}} is a Z {\displaystyle \mathbb {Z} } -lattice in A {\displaystyle A} .

The last two conditions can be stated in less formal terms: Additively, O {\displaystyle {\mathcal {O}}} is a free abelian group generated by a basis for A {\displaystyle A} over Q {\displaystyle \mathbb {Q} } .

More generally for R {\displaystyle R} an integral domain contained in a field K {\displaystyle K} , we define O {\displaystyle {\mathcal {O}}} to be an R {\displaystyle R} -order in a K {\displaystyle K} -algebra A {\displaystyle A} if it is a subring of A {\displaystyle A} which is a full R {\displaystyle R} -lattice.

When A {\displaystyle A} is not a commutative ring, the idea of order is still important, but the phenomena are different. For example, the Hurwitz quaternions form a maximal order in the quaternions with rational co-ordinates; they are not the quaternions with integer coordinates in the most obvious sense. Maximal orders exist in general, but need not be unique: there is in general no largest order, but a number of maximal orders. An important class of examples is that of integral group rings.