# cosh#

ivy.cosh(x, /, *, out=None)[source]#

Calculate an implementation-dependent approximation to the hyperbolic cosine, having domain `[-infinity, +infinity]` and codomain `[-infinity, +infinity]`, for each element `x_i` in the input array `x`.

Special cases

For floating-point operands,

• If `x_i` is `NaN`, the result is `NaN`.

• If `x_i` is `+0`, the result is `1`.

• If `x_i` is `-0`, the result is `1`.

• If `x_i` is `+infinity`, the result is `+infinity`.

• If `x_i` is `-infinity`, the result is `+infinity`.

For complex floating-point operands, let `a = real(x_i)`, `b = imag(x_i)`, and

Note

For complex floating-point operands, `cosh(conj(x))` must equal `conj(cosh(x))`.

• If `a` is `+0` and `b` is `+0`, the result is `1 + 0j`.

• If `a` is `+0` and `b` is `+infinity`, the result is `NaN + 0j` (sign of the imaginary component is unspecified).

• If `a` is `+0` and `b` is `NaN`, the result is `NaN + 0j` (sign of the imaginary component is unspecified).

• If `a` is a nonzero finite number and `b` is `+infinity`, the result is `NaN + NaN j`.

• If `a` is a nonzero finite number and `b` is `NaN`, the result is `NaN + NaN j`.

• If `a` is `+infinity` and `b` is `+0`, the result is `+infinity + 0j`.

• If `a` is `+infinity` and `b` is a nonzero finite number, the result is `+infinity * cis(b)`.

• If `a` is `+infinity` and `b` is `+infinity`, the result is ``+infinity + NaN j``(sign of the real component is unspecified).

• If `a` is `+infinity` and `b` is `NaN`, the result is `+infinity + NaN j`.

• If `a` is `NaN` and `b` is either `+0` or `-0`, the result is `NaN + 0j` (sign of the imaginary component is unspecified).

• If `a` is `NaN` and `b` is a nonzero finite number, the result is `NaN + NaN j`.

• If `a` is `NaN` and `b` is `NaN`, the result is `NaN + NaN j`.

where `cis(v)` is `cos(v) + sin(v)*1j`.

Parameters:
• x (`Union`[`Array`, `NativeArray`]) – input array whose elements each represent a hyperbolic angle. Should have a floating-point data type.

• out (`Optional`[`Array`], default: `None`) – optional output array, for writing the result to. It must have a shape that the inputs broadcast to.

Return type:

`Array`

Returns:

ret – an array containing the hyperbolic cosine of each element in `x`. The returned array must have a floating-point data type determined by type-promotion.

This method conforms to the Array API Standard. This docstring is an extension of the docstring in the standard.

Both the description and the type hints above assumes an array input for simplicity, but this function is nestable, and therefore also accepts `ivy.Container` instances in place of any of the arguments.

Examples

With `ivy.Array` input:

```>>> x = ivy.array([1, 2, 3, 4])
>>> y = ivy.cosh(x)
>>> print(y)
ivy.array([1.54,3.76,10.1,27.3])
```
```>>> x = ivy.array([0.2, -1.7, -5.4, 1.1])
>>> y = ivy.zeros(4)
>>> ivy.cosh(x, out=y)
ivy.array([[1.67,4.57,13.6,12.3],[40.7,122.,368.,670.]])
```
```>>> x = ivy.array([[1.1, 2.2, 3.3, 3.2],
...                [-4.4, -5.5, -6.6, -7.2]])
>>> y = ivy.cosh(x)
>>> print(y)
ivy.array([[1.67,4.57,13.6,12.3],[40.7,122.,368.,670.]])
```

With `ivy.Container` input:

```>>> x = ivy.Container(a=ivy.array([1., 2., 3.]), b=ivy.array([6., 7., 8.]))
>>> y = ivy.cosh(x)
>>> print(y)
{
a:ivy.array([1.54,3.76,10.1]),
b:ivy.array([202.,548.,1490.])
}
```
Array.cosh(self, *, out=None)[source]#

ivy.Array instance method variant of ivy.cosh. This method simply wraps the function, and so the docstring for ivy.cosh also applies to this method with minimal changes.

Parameters:
• self (`Array`) – input array whose elements each represent a hyperbolic angle. Should have a floating-point data type.

• out (`Optional`[`Array`], default: `None`) – optional output array, for writing the result to. It must have a shape that the inputs broadcast to.

Return type:

`Array`

Returns:

ret – an array containing the hyperbolic cosine of each element in `self`. The returned array must have a floating-point data type determined by type-promotion.

Examples

```>>> x = ivy.array([1., 2., 3.])
>>> print(x.cosh())
ivy.array([1.54, 3.76, 10.1])
```
```>>> x = ivy.array([0.23, 3., -1.2])
>>> y = ivy.zeros(3)
>>> print(x.cosh(out=y))
ivy.array([1.03, 10.1, 1.81])
```
Container.cosh(self, *, key_chains=None, to_apply=True, prune_unapplied=False, map_sequences=False, out=None)[source]#

ivy.Container instance method variant of ivy.cosh. This method simply wraps the function, and so the docstring for ivy.cosh also applies to this method with minimal changes.

Parameters:
• self (`Container`) – input container whose elements each represent a hyperbolic angle. Should have a floating-point data type.

• key_chains (`Optional`[`Union`[`List`[`str`], `Dict`[`str`, `str`], `Container`]], default: `None`) – The key-chains to apply or not apply the method to. Default is `None`.

• to_apply (`Union`[`bool`, `Container`], default: `True`) – If True, the method will be applied to key_chains, otherwise key_chains will be skipped. Default is `True`.

• prune_unapplied (`Union`[`bool`, `Container`], default: `False`) – Whether to prune key_chains for which the function was not applied. Default is `False`.

• map_sequences (`Union`[`bool`, `Container`], default: `False`) – Whether to also map method to sequences (lists, tuples). Default is `False`.

• out (`Optional`[`Container`], default: `None`) – optional output container, for writing the result to. It must have a shape that the inputs broadcast to.

Return type:

`Container`

Returns:

ret – an container containing the hyperbolic cosine of each element in `self`. The returned container must have a floating-point data type determined by type-promotion.

Examples

With `ivy.Container` input:

```>>> x = ivy.Container(a=ivy.array([-1, 0.23, 1.12]), b=ivy.array([1, -2, 0.76]))
>>> y = x.cosh()
>>> print(y)
{
a: ivy.array([1.54, 1.03, 1.7]),
b: ivy.array([1.54, 3.76, 1.3])
}
```
```>>> x = ivy.Container(a=ivy.array([-3, 0.34, 2.]),
...                   b=ivy.array([0.67, -0.98, -3]))
>>> y = ivy.Container(a=ivy.zeros(3), b=ivy.zeros(3))
>>> x.cosh(out=y)
>>> print(y)
{
a: ivy.array([10.1, 1.06, 3.76]),
b: ivy.array([1.23, 1.52, 10.1])
}
```