Scilab 5.5.2
Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function
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 n
th
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
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 This function is obsolete.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 This function is obsolete.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 — approximate derivatives of a function (Jacobian or Hessian)
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