Scilab 5.3.3
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See the recommended documentation of this function

Scilab help >> Boolean > find

# find

find indices of boolean vector or matrix true elements

### Calling Sequence

```[ii]=find(x [,nmax])
[i1,i2,..]=find(x [,nmax])```

### Arguments

x

may be a boolean vector, a boolean matrix, a boolean hypermatrix, a "standard" matrix or hypermatrix

nmax

an integer giving the maximum number of indices to return. The default value is -1 which stands for "all". This option can be used for efficiency, to avoid searching all indices.

ii, i1, i2, ..

integer vectors of indices or empty matrices

### Description

If `x` is a boolean matrix,

`ii=find(x)` returns the vector of indices `i` for which `x(i)` is "true". If no true element found find returns an empty matrix.

`[i1,i2,..]=find(x)` returns vectors of indices `i1` (for rows) and `i2` (for columns),.. such that `x(i1(n),i2(n),..)` is "true". If no true element found find returns empty matrices in `i1`, `i2`, ...

if `x` is a standard matrix or hypermatrix `find(x)` is interpreted as `find(x<>0)`

`find([])` returns `[]`

### Examples

```beers=["Desperados", "Leffe", "Kronenbourg", "Heineken"];
find(beers=="Leffe") // OK
find(beers=="1664") // KO
find(beers=="Foster") // KO
beers=[beers, "Foster"]
find(beers=="Foster") // OK

A=rand(1,20);
w=find(A<0.4)
A(w)
w=find(A>100)

B=rand(1,20);
w=find(B<0.4,2) //at most 2 returned values

H=rand(4,3,5); //an hypermatrix
[i,j,k]=find(H>0.9)

H(i(1),j(1),k(1))```