acoth
Inverse hyperbolic cotangent
Syntax
Description
Examples
Inverse Hyperbolic Cotangent of Vector
Find the inverse hyperbolic cotangent of the elements of vector X
. The acoth
function acts on X
element-wise.
X = [2 -3 1+2i]; Y = acoth(X)
Y = 1×3 complex
0.5493 + 0.0000i -0.3466 + 0.0000i 0.1733 - 0.3927i
Plot the Inverse Hyperbolic Cotangent Function
Plot the inverse hyperbolic cotangent function over the intervals and .
x1 = -30:0.1:-1.1; x2 = 1.1:0.1:30; plot(x1,acoth(x1),x2,acoth(x2)) grid on xlabel('x') ylabel('acoth(x)')
Input Arguments
X
— Hyperbolic cotangent of angle
scalar | vector | matrix | multidimensional array | table | timetable
Hyperbolic cotangent of angle, specified as a scalar, vector, matrix,
multidimensional array, table, or timetable. The acoth
operation is
element-wise when X
is nonscalar.
Data Types: single
| double
| table
| timetable
Complex Number Support: Yes
More About
Inverse Hyperbolic Cotangent
For real values in the domain and , the inverse hyperbolic cotangent satisfies
For complex numbers as well as real values in the domain , the call acoth(z)
returns complex results.
Extended Capabilities
Tall Arrays
Calculate with arrays that have more rows than fit in memory.
The
acoth
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 acoth
function
supports GPU array input with these usage notes and limitations:
If the output of the function running on the GPU can be complex, then you must explicitly specify its input arguments as complex. For more information, see Work with Complex Numbers on a GPU (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 acoth
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)