continuous-time model - перевод на русский
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continuous-time model - перевод на русский

MATHEMATICAL PRACTICE
Continuous model; Continuous Model; Continuous Modelling

continuous-time model      

математика

модель c непрерывным временем

непрерывная модель (в отличие от дискретной)

continuous-time model      
модель для непрерывного времени
continuous extension         
  • The graph of a [[cubic function]] has no jumps or holes. The function is continuous.
  • 1=exp(0) = 1}}
  • section 2.1.3]]).
  • 1=''ε'' = 0.5}}.
  • Riemann sphere]] is often used as a model to study functions like the example.
  • The graph of a continuous [[rational function]]. The function is not defined for <math>x = -2.</math> The vertical and horizontal lines are [[asymptote]]s.
  • For a Lipschitz continuous function, there is a double cone (shown in white) whose vertex can be translated along the graph, so that the graph always remains entirely outside the cone.
  • oscillation]].
  • The sinc and the cos functions
  • Point plot of Thomae's function on the interval (0,1). The topmost point in the middle shows f(1/2) = 1/2.
  • thumb
FUNCTION SUCH THAT THE PREIMAGE OF AN OPEN SET IS OPEN
Continuity property; Continuous map; Continuous function (topology); Continuous (topology); Continuous mapping; Continuous functions; Continuous maps; Discontinuity set; Noncontinuous function; Discontinuous function; Continuity (topology); Continuous map (topology); Sequential continuity; Stepping Stone Theorem; Continuous binary relation; Continuous relation; Topological continuity; Right-continuous; Right continuous; Left continuous; Left-continuous; C^1; Continuous fctn; Cts fctn; E-d definition; Continuous variation; Continuity space; Continuous space; Real-valued continuous functions; Left-continuous function; Right-continuous function; Left- or right-continuous function; Continuity at a point; Continuous at a point; Continuous extension

математика

непрерывное расширение

Определение

ЧАСОВЫЕ ПОЯСА
см. Поясное время.

Википедия

Continuous modelling

Continuous modelling is the mathematical practice of applying a model to continuous data (data which has a potentially infinite number, and divisibility, of attributes). They often use differential equations and are converse to discrete modelling.

Modelling is generally broken down into several steps:

  • Making assumptions about the data: The modeller decides what is influencing the data and what can be safely ignored.
  • Making equations to fit the assumptions.
  • Solving the equations.
  • Verifying the results: Various statistical tests are applied to the data and the model and compared.
  • If the model passes the verification progress, putting it into practice.
  • If the model fails the verification progress, altering it and subjecting it again to verification; if it persists in fitting the data more poorly than a competing model, it is abandoned.
Как переводится continuous-time model на Русский язык