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Hub AI
Five-point stencil AI simulator
(@Five-point stencil_simulator)
Hub AI
Five-point stencil AI simulator
(@Five-point stencil_simulator)
Five-point stencil
In numerical analysis, given a square grid in one or two dimensions, the five-point stencil of a point in the grid is a stencil made up of the point itself together with its four "neighbors". It is used to write finite difference approximations to derivatives at grid points. It is an example for numerical differentiation.
In one dimension, if the spacing between points in the grid is h, then the five-point stencil of a point x in the grid is
The first derivative of a function f of a real variable at a point x can be approximated using a five-point stencil as:
The center point f(x) itself is not involved, only the four neighboring points.
This formula can be obtained by writing out the four Taylor series of and at the point , up to terms of h3 (or up to terms of h5 to get an error estimation as well), evaluating each series at and respectively (to get everything in common terms of ), and solving this system of four equations to get f ′(x). Actually, we have at points x + h and x − h:
Evaluating gives us
The residual term O1(h4) should be of the order of h5 instead of h4 because if the terms of h4 had been written out in (E1+) and (E1−), it can be seen that they would have canceled each other out by f(x + h) − f(x − h). But for this calculation, it is left like that since the order of error estimation is not treated here (cf below).
Similarly, we have
Five-point stencil
In numerical analysis, given a square grid in one or two dimensions, the five-point stencil of a point in the grid is a stencil made up of the point itself together with its four "neighbors". It is used to write finite difference approximations to derivatives at grid points. It is an example for numerical differentiation.
In one dimension, if the spacing between points in the grid is h, then the five-point stencil of a point x in the grid is
The first derivative of a function f of a real variable at a point x can be approximated using a five-point stencil as:
The center point f(x) itself is not involved, only the four neighboring points.
This formula can be obtained by writing out the four Taylor series of and at the point , up to terms of h3 (or up to terms of h5 to get an error estimation as well), evaluating each series at and respectively (to get everything in common terms of ), and solving this system of four equations to get f ′(x). Actually, we have at points x + h and x − h:
Evaluating gives us
The residual term O1(h4) should be of the order of h5 instead of h4 because if the terms of h4 had been written out in (E1+) and (E1−), it can be seen that they would have canceled each other out by f(x + h) − f(x − h). But for this calculation, it is left like that since the order of error estimation is not treated here (cf below).
Similarly, we have