linspace

Generate linearly spaced vector

Syntax

y = linspace(x1,x2)

y = linspace(x1,x2,n)

Description

y = linspace(x1,x2) returns a row vector of 100 evenly spaced points between x1 and x2.

y = linspace(x1,x2,n) generates n points. The spacing between the points is (x2-x1)/(n-1).

linspace is similar to the colon operator, “:”, but gives direct control over the number of points and always includes the endpoints. “lin” in the name “linspace” refers to generating linearly spaced values as opposed to the sibling function logspace, which generates logarithmically spaced values.

Examples

Vector of Evenly Spaced Numbers

Create a vector of 100 evenly spaced points in the interval [-5,5].

y = linspace(-5,5);

Vector with Specified Number of Values

Create a vector of 7 evenly spaced points in the interval [-5,5].

y1 = linspace(-5,5,7)

y1 = 1×7

   -5.0000   -3.3333   -1.6667         0    1.6667    3.3333    5.0000

Vector of Evenly Spaced Complex Numbers

Create a vector of complex numbers with 8 evenly spaced points between 1+2i and 10+10i.

y = linspace(1+2i,10+10i,8)

y = 1×8 complex

   1.0000 + 2.0000i   2.2857 + 3.1429i   3.5714 + 4.2857i   4.8571 + 5.4286i   6.1429 + 6.5714i   7.4286 + 7.7143i   8.7143 + 8.8571i  10.0000 +10.0000i

Input Arguments

x1,x2 — Point interval

pair of scalars

Point interval, specified as a pair of scalars. x1 and x2 define the interval over which linspace generates points. x2 can be either larger or smaller than x1. If x2 is smaller than x1, then the vector contains descending values.

Data Types: single | double | datetime | duration
Complex Number Support: Yes

n — Number of points

100 (default) | real numeric scalar | NaN

Number of points, specified as a real numeric scalar or NaN.

• If n is 1, linspace returns x2.

• If n is zero or negative, linspace returns an empty 1-by-0 matrix.

• If n is not an integer, linspace rounds down and returns floor(n) points.

• If n is NaN, linspace returns NaN.

Extended Capabilities

C/C++ Code Generation

Generate C and C++ code using MATLAB® Coder™.

Usage notes and limitations:

• Calls to linspace with number of points equal to NaN are not supported.

Thread-Based Environment

Run code in the background using MATLAB® backgroundPool or accelerate code with Parallel Computing Toolbox™ ThreadPool.

This function fully supports thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.

GPU Arrays

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

Usage notes and limitations:

To run this function on a GPU and obtain a gpuArray output, use any of the following syntaxes:

y = gpuArray.linspace(x1,x2)
y = gpuArray.linspace(x1,x2,n)

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™.

Usage notes and limitations:

• Use distributed.linspace to call the distributed version of linspace.

• x1 and x2 must be single or double scalars.

For more information, see Run MATLAB Functions with Distributed Arrays (Parallel Computing Toolbox).

Version History

Introduced before R2006a