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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.
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, islogical, ischar, iscell, isstruct, isa.
Return true if x is a logical object.
Return true if x is a floating-point numeric object.
Objects of class double or single are floating-point objects.
Return true if x is a non-complex matrix or scalar.
For compatibility with MATLAB, this includes logical and character matrices.
Return true if x is a complex-valued numeric object.
See also: isreal, isnumeric, islogical, ischar, isfloat, isa.
Return true if a is a 2-D array.
See also: isscalar, isvector, iscell, isstruct, issparse, isa.
Return true if x is a vector.
A vector is a 2-D array where one of the dimensions is equal to 1. As a consequence a 1x1 array, or scalar, is also a vector.
Return true if x is a row vector 1xN with non-negative N.
Return true if x is a column vector Nx1 with non-negative N.
Return true if x is a square matrix.
Return true if A is a symmetric matrix within the tolerance specified by tol.
The default tolerance is zero (uses faster code).
Matrix A is considered symmetric if
norm (A - A.', Inf) / norm (A, Inf) < tol
.
See also: ishermitian, isdefinite.
Return true if A is Hermitian within the tolerance specified by tol.
The default tolerance is zero (uses faster code).
Matrix A is considered symmetric if
norm (A - A', Inf) / norm (A, Inf) < tol
.
See also: issymmetric, isdefinite.
Return 1 if A is symmetric positive definite within the tolerance specified by tol or 0 if A is symmetric positive semidefinite. Otherwise, return -1.
If tol is omitted, use a tolerance of
100 * eps * norm (A, "fro")
See also: issymmetric, ishermitian.
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.
Return true if A is a diagonal matrix.
Return true if A is a lower triangular matrix.
A lower triangular matrix has nonzero entries only on the main diagonal and below.
Return true if A is an upper triangular matrix.
An upper triangular matrix has nonzero entries only on the main diagonal and above.
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 (x)
is complex, then primality is tested in the domain
of Gaussian integers (http://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, 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.
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