Mathematical Functions

The following tables show mathematical functions provided by NLCPy.

Trigonometric Functions

`nlcpy.sin`	Computes the element-wise sine.
`nlcpy.cos`	Computes the element-wise cosine.
`nlcpy.tan`	Computes the element-wise tangent.
`nlcpy.arcsin`	Computes the element-wise inverse sine.
`nlcpy.arccos`	Computes the element-wise inverse cosine.
`nlcpy.arctan`	Computes the element-wise inverse tangent.
`nlcpy.arctan2`	Computes the element-wise inverse tangent of x1/x2 choosing the quadrant correctly.
`nlcpy.hypot`	Computes the "legs" of a right triangle.
`nlcpy.degrees`	Converts angles from radians to degrees.
`nlcpy.radians`	Converts angles from degrees to radians.
`nlcpy.deg2rad`	Converts angles from degrees to radians.
`nlcpy.rad2deg`	Converts angles from radians to degrees.

`nlcpy.sinh`	Computes the element-wise hyperbolic sine.
`nlcpy.cosh`	Computes the element-wise hyperbolic cosine.
`nlcpy.tanh`	Computes the element-wise hyperbolic tangent.
`nlcpy.arcsinh`	Computes the element-wise inverse hyperbolic sine.
`nlcpy.arccosh`	Computes the element-wise inverse hyperbolic cosine.
`nlcpy.arctanh`	Computes the element-wise inverse hyperbolic tangent.

`nlcpy.floor`	Returns the floor of the input, element-wise.
`nlcpy.ceil`	Returns the ceiling of the input, element-wise.
`nlcpy.trunc`	Returns the truncated value of the input, element-wise.

`nlcpy.prod`	Returns the product of array elements over a given axis.
`nlcpy.sum`	Sum of array elements over a given axis.
`nlcpy.cumsum`	Returns the cumulative sum of the elements along a given axis.
`nlcpy.diff`	Calculates the n-th discrete difference along the given axis.

`nlcpy.exp`	Computes the exponential of all elements in the input array.
`nlcpy.exp2`	Computes 2**x for all elements in the array.
`nlcpy.log`	Computes the element-wise natural logarithm of x.
`nlcpy.log10`	Computes the element-wise base-10 logarithm of x.
`nlcpy.expm1`	Computes exp(x) - 1 for all elements in the array.
`nlcpy.log1p`	Computes the element-wise natural logarithm of 1 + x.
`nlcpy.logaddexp`	Computes the element-wise natural logarithm of $exp(x1) + exp(x2)$ .
`nlcpy.logaddexp2`	Computes the element-wise base-2 logarithm of $2^{x1} + 2^{x2}$ .
`nlcpy.signbit`	Returns True where signbit is set (less than zero), element-wise.
`nlcpy.copysign`	Changes the sign of x1 to that of x2, element-wise.
`nlcpy.spacing`	Returns the distance between x and the nearest adjacent number, element-wise.
`nlcpy.ldexp`	Returns $x1 * 2^{x2}$ , element-wise.

`nlcpy.add`	Computes the element-wise addition of the inputs.
`nlcpy.subtract`	Computes the element-wise subtraction of the inputs.
`nlcpy.multiply`	Computes the element-wise multiplication of the inputs.
`nlcpy.divide`	Computes the element-wise division of the inputs.
`nlcpy.true_divide`	Computes the element-wise division of the inputs.
`nlcpy.floor_divide`	Computes the element-wise floor division of the inputs.
`nlcpy.negative`	Computes numerical negative, element-wise.
`nlcpy.positive`	Computes numerical positive, element-wise.
`nlcpy.power`	Computes the element-wise exponentiation of the inputs.
`nlcpy.remainder`	Computes the element-wise remainder of division.
`nlcpy.mod`	Computes the element-wise remainder of division.
`nlcpy.fmod`	Computes the element-wise remainder of division.
`nlcpy.absolute`	Computes the element-wise absolute value.
`nlcpy.reciprocal`	Computes the element-wise reciprocal of the input.

`nlcpy.angle`	Returns the angle of the complex argument.
`nlcpy.real`	Returns the real part of the complex argument.
`nlcpy.imag`	Returns the imaginary part of the complex argument.
`nlcpy.conj`	Returns the element-wise complex conjugate.
`nlcpy.conjugate`	Returns the element-wise complex conjugate.

`nlcpy.clip`	Clips (limits) the values in an array.
`nlcpy.sqrt`	Computes the element-wise square-root of the input.
`nlcpy.cbrt`	Computes the element-wise cubic-root of the input.
`nlcpy.square`	Computes the element-wise square of the input.
`nlcpy.absolute`	Computes the element-wise absolute value.
`nlcpy.fabs`	Computes the element-wise absolute value.
`nlcpy.sign`	Returns the element-wise indication of the sign of a number.
`nlcpy.heaviside`	Computes Heaviside step function.
`nlcpy.maximum`	Computes the element-wise maximum of the inputs.
`nlcpy.minimum`	Computes the element-wise minimum of the inputs.
`nlcpy.fmax`	Computes the element-wise maximum of the inputs.
`nlcpy.fmin`	Computes the element-wise minimum of the inputs.