Previous: Promotion and Demotion of Data Types, Up: Numeric Data Types [Contents][Index]

Since the type of a variable may change during the execution of a
program, it can be necessary to do type checking at run-time. Doing this
also allows you to change the behavior of a function depending on the
type of the input. As an example, this naive implementation of `abs`

returns the absolute value of the input if it is a real number, and the
length of the input if it is a complex number.

function a = abs (x) if (isreal (x)) a = sign (x) .* x; elseif (iscomplex (x)) a = sqrt (real(x).^2 + imag(x).^2); endif endfunction

The following functions are available for determining the type of a variable.

- :
**isnumeric***(*`x`) Return true if

`x`is a numeric object, i.e., an integer, real, or complex array.Logical and character arrays are not considered to be numeric.

**See also:**isinteger, isfloat, isreal, iscomplex, ischar, islogical, isstring, iscell, isstruct, isa.

- :
**islogical***(*`x`) - :
**isbool***(*`x`) Return true if

`x`is a logical object.**See also:**ischar, isfloat, isinteger, isstring, isnumeric, isa.

- :
**isfloat***(*`x`) Return true if

`x`is a floating-point numeric object.Objects of class double or single are floating-point objects.

**See also:**isinteger, ischar, islogical, isnumeric, isstring, isa.

- :
**isreal***(*`x`) Return true if

`x`is a non-complex matrix or scalar.For compatibility with MATLAB, this includes logical and character matrices.

- :
**iscomplex***(*`x`) Return true if

`x`is a complex-valued numeric object.**See also:**isreal, isnumeric, ischar, isfloat, islogical, isstring, isa.

- :
**ismatrix***(*`x`) Return true if

`x`is a 2-D array.A matrix is an object with two dimensions (

`ndims (`

) for which`x`) == 2`size (`

returns`x`)`[M, N]`

with non-negative M and N.**See also:**isscalar, isvector, iscell, isstruct, issparse, isa.

- :
**isvector***(*`x`) Return true if

`x`is a vector.A vector is a 2-D array where one of the dimensions is equal to 1 (either 1xN or Nx1). As a consequence of this definition, a 1x1 array (a scalar) is also a vector.

- :
**isrow***(*`x`) Return true if

`x`is a row vector.A row vector is a 2-D array for which

`size (`

returns`x`)`[1, N]`

with non-negative N.

- :
**iscolumn***(*`x`) Return true if

`x`is a column vector.A column vector is a 2-D array for which

`size (`

returns`x`)`[N, 1]`

with non-negative N.

- :
**isscalar***(*`x`) Return true if

`x`is a scalar.A scalar is an object with two dimensions for which

`size (`

returns`x`)`[1, 1]`

.

- :
**issquare***(*`x`) Return true if

`x`is a 2-D square array.A square array is a 2-D object for which

`size (`

returns`x`)`[N, N]`

where N is a non-negative integer.

- :
**issymmetric***(*`A`) - :
**issymmetric***(*`A`,`tol`) - :
**issymmetric***(*`A`,`"skew"`

) - :
**issymmetric***(*`A`,`"skew"`

,`tol`) Return true if

`A`is a symmetric or skew-symmetric matrix within the tolerance specified by`tol`.The default tolerance is zero (uses faster code).

The type of symmetry to check may be specified with the additional input

`"nonskew"`

(default) for regular symmetry or`"skew"`

for skew-symmetry.Background: A matrix is symmetric if the transpose of the matrix is equal to the original matrix:

. If a tolerance is given then symmetry is determined by`A`==`A`.'`norm (`

.`A`-`A`.', Inf) / norm (`A`, Inf) <`tol`A matrix is skew-symmetric if the transpose of the matrix is equal to the negative of the original matrix:

. If a tolerance is given then skew-symmetry is determined by`A`== -`A`.'`norm (`

.`A`+`A`.', Inf) / norm (`A`, Inf) <`tol`**See also:**ishermitian, isdefinite.

- :
**ishermitian***(*`A`) - :
**ishermitian***(*`A`,`tol`) - :
**ishermitian***(*`A`,`"skew"`

) - :
**ishermitian***(*`A`,`"skew"`

,`tol`) Return true if

`A`is a Hermitian or skew-Hermitian matrix within the tolerance specified by`tol`.The default tolerance is zero (uses faster code).

The type of symmetry to check may be specified with the additional input

`"nonskew"`

(default) for regular Hermitian or`"skew"`

for skew-Hermitian.Background: A matrix is Hermitian if the complex conjugate transpose of the matrix is equal to the original matrix:

. If a tolerance is given then the calculation is`A`==`A`'`norm (`

.`A`-`A`', Inf) / norm (`A`, Inf) <`tol`A matrix is skew-Hermitian if the complex conjugate transpose of the matrix is equal to the negative of the original matrix:

. If a tolerance is given then the calculation is`A`== -`A`'`norm (`

.`A`+`A`', Inf) / norm (`A`, Inf) <`tol`**See also:**issymmetric, isdefinite.

- :
**isdefinite***(*`A`) - :
**isdefinite***(*`A`,`tol`) Return true if

`A`is symmetric positive definite matrix within the tolerance specified by`tol`.If

`tol`is omitted, use a tolerance of`100 * eps * norm (`

.`A`, "fro")Background: A positive definite matrix has eigenvalues which are all greater than zero. A positive semi-definite matrix has eigenvalues which are all greater than or equal to zero. The matrix

`A`is very likely to be positive semi-definite if the following two conditions hold for a suitably small tolerance`tol`.isdefinite (

`A`) ⇒ 0 isdefinite (`A`+ 5*`tol`,`tol`) ⇒ 1**See also:**issymmetric, ishermitian.

- :
**isbanded***(*`A`,`lower`,`upper`) Return true if

`A`is a matrix with entries confined between`lower`diagonals below the main diagonal and`upper`diagonals above the main diagonal.`lower`and`upper`must be non-negative integers.

- :
**isdiag***(*`A`) Return true if

`A`is a diagonal matrix.

- :
**istril***(*`A`) Return true if

`A`is a lower triangular matrix.A lower triangular matrix has nonzero entries only on the main diagonal and below.

- :
**istriu***(*`A`) Return true if

`A`is an upper triangular matrix.An upper triangular matrix has nonzero entries only on the main diagonal and above.

- :
**isprime***(*`x`) Return a logical array which is true where the elements of

`x`are prime numbers and false where they are not.A prime number is conventionally defined as a positive integer greater than 1 (e.g., 2, 3, …) which is divisible only by itself and 1. Octave extends this definition to include both negative integers and complex values. A negative integer is prime if its positive counterpart is prime. This is equivalent to

`isprime (abs (x))`

.If

`class (`

is complex, then primality is tested in the domain of Gaussian integers (https://en.wikipedia.org/wiki/Gaussian_integer). Some non-complex integers are prime in the ordinary sense, but not in the domain of Gaussian integers. For example,`x`)*5 = (1+2i)*(1-2i)*shows that 5 is not prime because it has a factor other than itself and 1. Exercise caution when testing complex and real values together in the same matrix.Examples:

isprime (1:6) ⇒ 0 1 1 0 1 0

isprime ([i, 2, 3, 5]) ⇒ 0 0 1 0

Programming Note:

`isprime`

is appropriate if the maximum value in`x`is not too large (< 1e15). For larger values special purpose factorization code should be used.Compatibility Note: MATLAB does not extend the definition of prime numbers and will produce an error if given negative or complex inputs.

If instead of knowing properties of variables, you wish to know which variables are defined and to gather other information about the workspace itself, see Status of Variables.

Previous: Promotion and Demotion of Data Types, Up: Numeric Data Types [Contents][Index]