isvector

Determine whether input is vector

Syntax

TF = isvector(A)

Description

TF = isvector(A) returns logical 1 (true) if A is a vector. Otherwise, it returns logical 0 (false). A vector is a two-dimensional array that has a size of 1-by-N or N-by-1, where N is a nonnegative integer.

Examples

Determine Vector from Matrix

Create a 2-by-2 matrix. Determine whether it is a vector.

A = [1 2; 3 4];
TF = isvector(A)

TF = logical
   0

Check whether the first column of the matrix is a vector.

TF = isvector(A(:,1))

TF = logical
   1

Check whether the first row of the matrix is a vector.

TF = isvector(A(1,:))

TF = logical
   1

Determine Vector from Scalar

Create a scalar, which is a 1-by-1 array.

A = 5;

Determine whether the scalar A is also a vector.

TF = isvector(A)

TF = logical
   1

Character Vector and String Scalar

Create an array of characters. Determine whether it is a vector.

A = 'Hello, World!';
TF = isvector(A)

TF = logical
   1

Check the dimension of A using size. A is a 1-by-13 character vector.

sz = size(A)

sz = 1×2

     1    13

Now create a string scalar by enclosing a piece of text in double quotes.

A = "Hello, World!";

Check whether the scalar A is also a vector.

TF = isvector(A)

TF = logical
   1

Input Arguments

A — Input array

scalar | vector | matrix | multidimensional array

Input array, specified as a scalar, vector, matrix, or multidimensional array.

Algorithms

• If the input array A has more than two dimensions, then isvector(A) always returns logical 0 (false). For example, an array of size 1-by-1-by-N is not a vector.

• isvector(A) function does not have any special behavior for dimension lengths equal to 0. For example, isvector(A) returns logical 1 (true) if the size of A is 0-by-1. But, isvector(A) returns logical 0 (false) if the size of A is 0-by-3.

Extended Capabilities

Tall Arrays

Calculate with arrays that have more rows than fit in memory.

This function fully supports tall arrays. For more information, see Tall Arrays.

C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.

GPU Code Generation
Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.

HDL Code Generation
Generate Verilog and VHDL code for FPGA and ASIC designs using HDL Coder™.

GPU Arrays

Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.

This function fully supports GPU arrays. For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).

Distributed Arrays

Partition large arrays across the combined memory of your cluster using Parallel Computing Toolbox™.

This function fully supports distributed arrays. For more information, see Run MATLAB Functions with Distributed Arrays (Parallel Computing Toolbox).