jax.numpy.polyadd

jax.numpy.polyadd(a1, a2)

Returns the sum of the two polynomials.

JAX implementation of numpy.polyadd().

Parameters:

• a1 (ArrayLike) – Array of polynomial coefficients.

• a2 (ArrayLike) – Array of polynomial coefficients.

Returns:

An array containing the coefficients of the sum of input polynomials.

Return type:

Array

Note

jax.numpy.polyadd() only accepts arrays as input unlike numpy.polyadd() which accepts scalar inputs as well.

See also

• jax.numpy.polysub(): Computes the difference of two polynomials.

• jax.numpy.polymul(): Computes the product of two polynomials.

• jax.numpy.polydiv(): Computes the quotient and remainder of polynomial division.

Examples

>>> x1 = jnp.array([2, 3])
>>> x2 = jnp.array([5, 4, 1])
>>> jnp.polyadd(x1, x2)
Array([5, 6, 4], dtype=int32)

>>> x3 = jnp.array([[2, 3, 1]])
>>> x4 = jnp.array([[5, 7, 3],
...                 [8, 2, 6]])
>>> jnp.polyadd(x3, x4)
Array([[ 5,  7,  3],
       [10,  5,  7]], dtype=int32)

>>> x5 = jnp.array([1, 3, 5])
>>> x6 = jnp.array([[5, 7, 9],
...                 [8, 6, 4]])
>>> jnp.polyadd(x5, x6)  
Traceback (most recent call last):
...
ValueError: Cannot broadcast to shape with fewer dimensions: arr_shape=(2, 3) shape=(2,)
>>> x7 = jnp.array([2])
>>> jnp.polyadd(x6, x7)
Array([[ 5,  7,  9],
       [10,  8,  6]], dtype=int32)