exp

exp(x: array, /) → array

Calculates an implementation-dependent approximation to the exponential function for each element x_i of the input array x (e raised to the power of x_i, where e is the base of the natural logarithm).

Note

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

Note

The exponential function is an entire function in the complex plane and has no branch cuts.

Parameters:

x (array) – input array. Should have a floating-point data type.

Returns:

out (array) – an array containing the evaluated exponential function result for each element in x. The returned array must have a floating-point data type determined by Type Promotion Rules.

Notes

Special cases

For real-valued 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 +0.

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

  • If a is either +0 or -0 and b is +0, the result is 1 + 0j.

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

  • If a is a 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 finite number, the result is +0 * cis(b).

  • 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 0 + 0j (signs of real and imaginary components are unspecified).

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

  • If a is -infinity and b is NaN, the result is 0 + 0j (signs of real and imaginary components are unspecified).

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

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

  • If a is NaN and b is not equal to 0, 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.

Changed in version 2022.12: Added complex data type support.