# tf.math.polyval

tf.math.polyval(
coeffs,
x,
name=None
)


Defined in tensorflow/python/ops/math_ops.py.

Computes the elementwise value of a polynomial.

If x is a tensor and coeffs is a list n + 1 tensors, this function returns the value of the n-th order polynomial

p(x) = coeffs[n-1] + coeffs[n-2] * x + ... + coeffs[0] * x**(n-1)

evaluated using Horner's method, i.e.

p(x) = coeffs[n-1] + x * (coeffs[n-2] + ... + x * (coeffs[1] + x * coeffs[0]))

#### Args:

• coeffs: A list of Tensor representing the coefficients of the polynomial.
• x: A Tensor representing the variable of the polynomial.
• name: A name for the operation (optional).

#### Returns:

A tensor of the shape as the expression p(x) with usual broadcasting rules for element-wise addition and multiplication applied.

#### Numpy Compatibility

Equivalent to numpy.polyval.