sin
Sine of argument in radians
Syntax
Description
Examples
Plot Sine Function
Plot the sine function over the domain .
x = -pi:0.01:pi;
plot(x,sin(x)), grid on
Sine of Vector of Complex Angles
Calculate the sine of the complex angles in vector x
.
x = [-i pi+i*pi/2 -1+i*4]; y = sin(x)
y = 1×3 complex
0.0000 - 1.1752i 0.0000 - 2.3013i -22.9791 +14.7448i
Input Arguments
X
— Input angle in radians
scalar | vector | matrix | multidimensional array | table | timetable
Input angle in radians, specified as a scalar, vector, matrix, multidimensional array, table, or timetable.
Data Types: single
| double
| table
| timetable
Complex Number Support: Yes
Output Arguments
Y
— Sine of input angle
scalar | vector | matrix | multidimensional array | table | timetable
Sine of input angle, returned as a real-valued or complex-valued scalar, vector, matrix, multidimensional array, table, or timetable.
More About
Sine Function
The sine of an angle, α, defined with reference to a right triangle is
The sine of a complex argument, α, is
Tips
To compute
sin(X*pi)
accurately, without usingpi
as a floating-point approximation of π, you can use thesinpi
function instead. For example,sinpi(n)
is exactly zero for integersn
andsinpi(m/2)
is +1 or –1 for odd integersm
.
Extended Capabilities
Tall Arrays
Calculate with arrays that have more rows than fit in memory.
The
sin
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™.
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 sin
function
fully supports GPU arrays. To run the function on a GPU, specify the input data as a 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 sin
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.
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