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See the recommended documentation of this function

Aide de Scilab >> Calcul différentiel, Intégration > diff

diff

Difference and discrete derivative

Calling Sequence

y=diff(x)
y=diff(x [,n [,dim]])

Arguments

x

vector or matrix (real, complex, sparse or polynomial)

n

integer the order of differentiation

dim

integer or character string with values "r","c" and "*"

y

scalar or vector/matrix

Description

y=diff(x) compute the difference function y=x(2:$)-x(1:$-1)

diff(x,n,dim) is the nth difference function along dimension dim.

diff(x,n,"*") is equivalent to diff(x(:),n).

Default value for n is 1. Default value for dim is "*".

dim='r' is equivalent to dim=1 and dim='c' is equivalent to dim=2.

Examples

v=(1:8)^3;
diff(v)
diff(v,3)

A=[(1:8)^2
   (1:8)^3
   (1:8)^4];

diff(A,3,2)

//approximate differentiation
step=0.001
t=0:step:10;
y=sin(t);
dy=diff(sin(t))/step; //approximate differentiation of sine function
norm(dy-cos(t(1:$-1)),%inf)

See Also

  • interp — cubic spline evaluation function
  • interp2d — bicubic spline (2d) evaluation function
  • splin — cubic spline interpolation
  • eval_cshep2d — bidimensional cubic shepard interpolation evaluation
  • derivative — approximate derivatives of a function. This function is obsolete. Please use the numderivative function instead.
  • numdiff — numerical gradient estimation at one point. This function is obsolete. Please use the numderivative function instead.
  • numderivative — approximation des dérivées d'une fonction (matrices jacobienne ou hessienne)
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Last updated:
Thu Oct 02 13:54:30 CEST 2014