Vertaling en analyse van woorden door kunstmatige intelligentie ChatGPT
Op deze pagina kunt u een gedetailleerde analyse krijgen van een woord of zin, geproduceerd met behulp van de beste kunstmatige intelligentietechnologie tot nu toe:
- hoe het woord wordt gebruikt
- gebruiksfrequentie
- het wordt vaker gebruikt in mondelinge of schriftelijke toespraken
- opties voor woordvertaling
- Gebruiksvoorbeelden (meerdere zinnen met vertaling)
- etymologie
exchange difference - vertaling naar Engels
![stencil]] for the most common explicit method for the heat equation.](https://commons.wikimedia.org/wiki/Special:FilePath/Explicit method-stencil.svg?width=200 "stencil]] for the most common explicit method for the heat equation.")
финансы
курсовая разница (разница, возникающая в результате отражения в отчетах того же количества единиц иностранной валюты по другим валютным курсам (т. е. разница в суммах валютной выручки или платежей, возникающая в результате изменения курса национальной валюты по отношению к иностранной с момента заключения сделки к моменту совершения соответствующих платежей))
синоним
Смотрите также
![The "Huis ter Beurze" (center) in [[Bruges]], [[Belgium]]](https://commons.wikimedia.org/wiki/Special:FilePath/Brugge - Saaihalle en beurs.jpg?width=200 "The \"Huis ter Beurze\" (center) in [[Bruges]], [[Belgium]]")
![Helsinki, Finland]], 1965](https://commons.wikimedia.org/wiki/Special:FilePath/Helsingin-porssi-1965.jpg?width=200 "Helsinki, Finland]], 1965")
Wikipedia
In numerical analysis, finite-difference methods (FDM) are a class of numerical techniques for solving differential equations by approximating derivatives with finite differences. Both the spatial domain and time interval (if applicable) are discretized, or broken into a finite number of steps, and the value of the solution at these discrete points is approximated by solving algebraic equations containing finite differences and values from nearby points.
Finite difference methods convert ordinary differential equations (ODE) or partial differential equations (PDE), which may be nonlinear, into a system of linear equations that can be solved by matrix algebra techniques. Modern computers can perform these linear algebra computations efficiently which, along with their relative ease of implementation, has led to the widespread use of FDM in modern numerical analysis. Today, FDM are one of the most common approaches to the numerical solution of PDE, along with finite element methods.
