cosd
Cosine of argument in degrees
Syntax
Description
Examples
Cosine of 90 Degrees Compared to Cosine of π/2 Radians
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 R2006aR2023a: 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.
MATLAB Command
You clicked a link that corresponds to this MATLAB command:
Run the command by entering it in the MATLAB Command Window. Web browsers do not support MATLAB commands.
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
You can also select a web site from the following list
How to Get Best Site Performance
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.
Americas
- América Latina (Español)
- Canada (English)
- United States (English)
Europe
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
Asia Pacific
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)