cosd

Cosine of argument in degrees

Syntax

Y = cosd(X)

Description

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

Examples

Cosine of 90 Degrees Compared to Cosine of π/2 Radians

cosd(90)

ans = 
0

cos(pi/2)

ans = 
6.1232e-17

Cosine of Complex Angles Specified in Degrees

Create an array of three complex angles and compute the cosine.

z = [180+i 45+2i 10+3i];
y = cosd(z)

y = 1×3 complex

  -1.0002 + 0.0000i   0.7075 - 0.0247i   0.9862 - 0.0091i

Input Arguments

X — Angle in degrees

scalar value | vector | matrix | multidimensional array | table | timetable

Angle in degrees, specified as a real-valued or complex-valued scalar, vector, matrix, multidimensional array, table, or timetable. The cosd operation is element-wise when X is nonscalar.

Data Types: single | double | table | timetable
Complex Number Support: Yes

Output Arguments

Y — Cosine of angle

scalar value | vector | matrix | multidimensional array | table | timetable

Cosine of angle, returned as a real-valued or complex-valued scalar, vector, matrix, multidimensional array, table, or timetable of the same size as X.

Extended Capabilities

Tall Arrays

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

The cosd 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™.

The cosd function fully supports GPU arrays. To run the function on a GPU, specify the input data as a gpuArray (Parallel Computing Toolbox). 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

R2023a: Perform calculations directly on tables and timetables

The cosd function can calculate on all variables within a table or timetable without indexing to access those variables. All variables must have data types that support the calculation. For more information, see Direct Calculations on Tables and Timetables.