Edge Rewrite
// HTMLRewriter · presentation

This page was redesigned at the edge.

Cloudflare fetched the original article and streamed it through HTMLRewriter to apply an entirely new visual system without rebuilding the source page.

Jump to content

Talk:Discretization error

Page contents not supported in other languages.
Add topic
From Wikipedia, the free encyclopedia

when we define the derivative of f(x) as f'(x) = lim h->0 [f(x+h)-f(x)]/h or f'(x) is approximately equal to [f(x+h)-f(x)]/h, where h is a finitely small number. The difference between the first formula and this approximation is known as discretization error.

Rk158903 (talk) 16:16, 29 September 2008 (UTC)Reply

Difference between Discretization Errors and Quantization Errors

[edit]

Discretization Error
Real number has an important property called density property that says that between any two real number there is a another real number .and so on to infinity if a and b are two real number then there exist another real number c which is equal to .and also there exist another real number d which equal to and so on to infinity. this is in mathematics but in computation it is different we cannot say that there is a line we theoretically contains an infinite number of steps instead we have a something called grid or lattice or mesh .
Quantization Errors
It is errors arises due the limitation of floating point representation , it is two types truncation error and round off error. —Preceding unsigned comment added by Ahmedlasheen (talkcontribs) 11:14, 1 October 2008 (UTC)Reply