atan
Inverse tangent in radians
Syntax
Description
Y = atan(
returns the Inverse Tangent
(tan-1) of the elements of X
)X
in radians.
The function accepts both real and complex inputs.
For real values of
X
,atan(X)
returns values in the interval [-π/2, π/2].For complex values of
X
,atan(X)
returns complex values.
Examples
Inverse Tangent of a Value
Inverse Tangent of a Vector of Complex Values
Find the inverse tangent of the elements of vector x
. The atan
function acts on x
element-wise.
x = [0.5i 1+3i -2.2+i]; Y = atan(x)
Y = 1×3 complex
0.0000 + 0.5493i 1.4615 + 0.3059i -1.2019 + 0.1506i
Plot the Inverse Tangent Function
Plot the inverse tangent function over the interval .
x = -20:0.01:20;
plot(x,atan(x))
grid on
Input Arguments
X
— Tangent of angle
scalar | vector | matrix | multidimensional array | table | timetable
Tangent of angle, specified as a scalar, vector, matrix, multidimensional array,
table, or timetable. The atan
operation is element-wise when
X
is nonscalar.
Data Types: single
| double
| table
| timetable
Complex Number Support: Yes
More About
Inverse Tangent
The inverse tangent is defined as
This definition of the atan
function returns angles in radians within
the interval [-π/2, π/2]. To find the four-quadrant inverse tangent, where the returned
angles are in the interval [-π, π], use atan2
.
Extended Capabilities
Tall Arrays
Calculate with arrays that have more rows than fit in memory.
The
atan
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 atan
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 atan
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 命令
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