Scilab 5.5.2
      
      
    Please note that the recommended version of Scilab is 2026.0.0. This page might be outdated.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 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
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 This function is obsolete.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 This function is obsolete.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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