asinh
Inverse hyperbolic sine
Syntax
Description
Examples
Inverse Hyperbolic Sine of Vector
Find the inverse hyperbolic sine of the elements of vector X
. The asinh
function acts on X
element-wise.
X = [2 -3 1+2i]; Y = asinh(X)
Y = 1×3 complex
1.4436 + 0.0000i -1.8184 + 0.0000i 1.4694 + 1.0634i
Plot the Inverse Hyperbolic Sine Function
Plot the inverse hyperbolic sine function over the interval .
x = -5:.01:5; plot(x,asinh(x)) grid on xlabel('x') ylabel('asinh(x)')
Input Arguments
X
— Hyperbolic sine of angle
scalar | vector | matrix | multidimensional array | table | timetable
Hyperbolic sine of angle, specified as a scalar, vector, matrix, multidimensional
array, table, or timetable. The asinh
operation is element-wise when
X
is nonscalar.
Data Types: single
| double
| table
| timetable
Complex Number Support: Yes
More About
Inverse Hyperbolic Sine
For real values in the domain of all real numbers, the inverse hyperbolic sine satisfies
For complex numbers , the call asinh(z)
returns complex results.
Extended Capabilities
Tall Arrays
Calculate with arrays that have more rows than fit in memory.
The
asinh
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 asinh
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 asinh
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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