sind

Sine of argument in degrees

Syntax

Y = sind(X)

Description

Y = sind(X) returns the sine of the elements in X, which are expressed in degrees.

Examples

Sine of 180 degrees compared to sine of π radians

sind(180)

ans = 0

sin(pi)

ans = 1.2246e-16

Sine of vector of complex angles, specified in degrees

z = [90+i 15+2i 10+3i];
y = sind(z)

y = 1×3 complex

   1.0002 + 0.0000i   0.2590 + 0.0337i   0.1739 + 0.0516i

Input Arguments

X — Angle in degrees

scalar value | vector | matrix | N-D array

Angle in degrees, specified as a real-valued or complex-valued scalar, vector, matrix, or N-D array. The sind operation is element-wise when X is nonscalar.

Data Types: single | double
Complex Number Support: Yes

Output Arguments

Y — Sine of angle

scalar value | vector | matrix | N-D array

Sine of angle, returned as a real-valued or complex-valued scalar, vector, matrix, or N-D array of the same size as X.

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™.

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™.

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).

Version History

Introduced before R2006a