Digite uma palavra ou frase em qualquer idioma 👆
Idioma:
Tradução e análise de palavras por inteligência artificial ChatGPT
Nesta página você pode obter uma análise detalhada de uma palavra ou frase, produzida usando a melhor tecnologia de inteligência artificial até o momento:
- como a palavra é usada
- frequência de uso
- é usado com mais frequência na fala oral ou escrita
- opções de tradução de palavras
- exemplos de uso (várias frases com tradução)
- etimologia
O que (quem) é optimal trajectory - definição
CLASS OF MATHEMATICAL PROBLEMS CONCERNED WITH CHOOSING AN OPTIMAL TIME TO TAKE A PARTICULAR ACTION
Optimal Stopping; Optimal Stopping problem
Trajectory (fluid mechanics)
IN FLUID MECHANICS, THE PATH OF AN OBJECT IN A FLOW
User:Peteymills/trajectory (fluid mechanics); Trajectory (meteorology)
In fluid mechanics, meteorology and oceanography, a trajectory traces the motion of a single point, often called a parcel, in the flow.
Radial trajectory
User:NOrbeck/Radial Trajectory; Radial Trajectory; Radial orbit; User:Norbeck/Radial Trajectory
In astrodynamics and celestial mechanics a radial trajectory is a Kepler orbit with zero angular momentum. Two objects in a radial trajectory move directly towards or away from each other in a straight line.
Orthogonal trajectory
Orthogonal Trajectory; Isogonal trajectories; Isogonal trajectory; Orthogonal trajectories
In mathematics an orthogonal trajectory is a curve, which intersects any curve of a given pencil of (planar) curves orthogonally.
Wikipédia
Optimal stopping
In mathematics, the theory of optimal stopping or early stopping is concerned with the problem of choosing a time to take a particular action, in order to maximise an expected reward or minimise an expected cost. Optimal stopping problems can be found in areas of statistics, economics, and mathematical finance (related to the pricing of American options). A key example of an optimal stopping problem is the secretary problem. Optimal stopping problems can often be written in the form of a Bellman equation, and are therefore often solved using dynamic programming.
