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All hyperbolic functions operate element-wise.

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sinh

Compute the hyperbolic sine, element-wise. 
function sinh(x: ArrayLike): NDArray
NameTypeDefaultDescription
xArrayLike-Input array.
Returns: NDArray — Element-wise sinh(x) = (exp(x) - exp(-x)) / 2. 
import * as np from 'numpy-ts';

const a = np.sinh(np.array([0, 1, -1]));
// array([0, 1.1752..., -1.1752...])

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cosh

Compute the hyperbolic cosine, element-wise. 
function cosh(x: ArrayLike): NDArray
NameTypeDefaultDescription
xArrayLike-Input array.
Returns: NDArray — Element-wise cosh(x) = (exp(x) + exp(-x)) / 2. 
import * as np from 'numpy-ts';

const a = np.cosh(np.array([0, 1, -1]));
// array([1, 1.5431..., 1.5431...])

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tanh

Compute the hyperbolic tangent, element-wise. 
function tanh(x: ArrayLike): NDArray
NameTypeDefaultDescription
xArrayLike-Input array.
Returns: NDArray — Element-wise tanh(x) = sinh(x) / cosh(x). 
import * as np from 'numpy-ts';

const a = np.tanh(np.array([0, 1, -1, 100]));
// array([0, 0.7616..., -0.7616..., 1])

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arcsinh

Compute the inverse hyperbolic sine, element-wise. Also available as the alias asinh. 
function arcsinh(x: ArrayLike): NDArray
NameTypeDefaultDescription
xArrayLike-Input array.
Returns: NDArray — Element-wise arcsinh(x) = ln(x + sqrt(x**2 + 1)). 
import * as np from 'numpy-ts';

const a = np.arcsinh(np.array([0, 1, -1]));
// array([0, 0.8814..., -0.8814...])

// Alias
const b = np.asinh(np.array([0, 1]));

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arccosh

Compute the inverse hyperbolic cosine, element-wise. Also available as the alias acosh. 
function arccosh(x: ArrayLike): NDArray
NameTypeDefaultDescription
xArrayLike-Input array. All values must be >= 1.
Returns: NDArray — Element-wise arccosh(x) = ln(x + sqrt(x**2 - 1)). 
import * as np from 'numpy-ts';

const a = np.arccosh(np.array([1, 2, 10]));
// array([0, 1.3170..., 2.9932...])

// Alias
const b = np.acosh(np.array([1, 2]));

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arctanh

Compute the inverse hyperbolic tangent, element-wise. Also available as the alias atanh. 
function arctanh(x: ArrayLike): NDArray
NameTypeDefaultDescription
xArrayLike-Input array. All values must be in the range (-1, 1).
Returns: NDArray — Element-wise arctanh(x) = 0.5 * ln((1+x) / (1-x)). 
import * as np from 'numpy-ts';

const a = np.arctanh(np.array([0, 0.5, -0.5]));
// array([0, 0.5493..., -0.5493...])

// Alias
const b = np.atanh(np.array([0, 0.5]));