acosh

Inverse hyperbolic cosine

Syntax

Y = acosh(X)

Description

Y = acosh(X) returns the inverse hyperbolic cosine of the elements of X. The function accepts both real and complex inputs. All angles are in radians.

Examples

Inverse Hyperbolic Cosine of Vector

Find the inverse hyperbolic cosine of the elements of vector X. The acosh function acts on X element-wise.

X = [2 -3 1+2i];
Y = acosh(X)

Y = 1×3 complex

   1.3170 + 0.0000i   1.7627 + 3.1416i   1.5286 + 1.1437i

Plot the Inverse Hyperbolic Cosine Function

Plot the inverse hyperbolic cosine function over the interval $$1\le x\le 5$$.

x = 1:0.01:5; 
plot(x,acosh(x))
grid on
xlabel('x')
ylabel('acosh(x)')

Input Arguments

X — Hyperbolic cosine of angle

scalar | vector | matrix | multidimensional array

Hyperbolic cosine of angle, specified as a scalar, vector, matrix, or multidimensional array. The acosh operation is element-wise when X is nonscalar.

Data Types: single | double
Complex Number Support: Yes

More About

Inverse Hyperbolic Cosine

For real values $$x$$ in the domain $$x>1$$, the inverse hyperbolic cosine satisfies

$${\cosh }^{-1}\left(x\right)=\log \left(x+\sqrt{x^2-1}\right).$$

For complex numbers $$z=x+iy$$, as well as real values in the domain $$-\infty <z\le 1$$, the call acosh(z) returns complex results.

Extended Capabilities

Tall Arrays

Calculate with arrays that have more rows than fit in memory.

This function fully supports tall arrays. For more information, see Tall Arrays.

C/C++ Code Generation

Generate C and C++ code using MATLAB® Coder™.

Usage notes and limitations:

• Generates an error during simulation and returns NaN in generated code when the input value x is real, but the output should be complex. To get the complex result, make the input value complex by passing in complex(x).

GPU Code Generation

Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.

Usage notes and limitations:

• Generates an error during simulation and returns NaN in generated code when the input value X is real, but the output should be complex. To get the complex result, make the input value complex by passing in complex(X).

GPU Arrays

Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.

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).