Polynomial

class Polynomial

Polynomial function of decision variables.

A polynomial function of arbitrary degree with terms of the form \(c \cdot x_1^{a_1} \cdot x_2^{a_2} \cdots\) where \(x_i\) are decision variables and \(c\) is a coefficient.

Examples

Create via DecisionVariable operations:

>>> x = DecisionVariable.integer(1)
>>> y = DecisionVariable.integer(2)
>>> p = x * x * y + x * y * y + 1  # Cubic polynomial

Note that ==, <=, >= create Constraint objects:

>>> constraint = p == 0  # Returns Constraint

__add__(rhs: int | float | DecisionVariable | Parameter | Linear | Quadratic | Polynomial) → Polynomial

__copy__() → Polynomial

__deepcopy__(_memo: Any) → Polynomial

__eq__(other: ToFunction) → Constraint: Create an equality constraint: self == other → Constraint with EqualToZero

__ge__(other: ToFunction) → Constraint: Create a greater-than-or-equal constraint: self >= other → Constraint

__iadd__(rhs: Polynomial) → Polynomial

__le__(other: ToFunction) → Constraint: Create a less-than-or-equal constraint: self <= other → Constraint

__mul__(rhs: int | float | DecisionVariable | Parameter | Linear | Quadratic | Polynomial) → Polynomial

__neg__() → Polynomial: Negation operator

__new__(terms: Mapping[Sequence[int], float]) → Polynomial

__radd__(lhs: int | float | DecisionVariable | Parameter | Linear | Quadratic | Polynomial) → Polynomial

__repr__() → str

__rmul__(lhs: int | float | DecisionVariable | Parameter | Linear | Quadratic | Polynomial) → Polynomial

__rsub__(lhs: int | float | DecisionVariable | Parameter | Linear | Quadratic | Polynomial) → Polynomial

__sub__(rhs: int | float | DecisionVariable | Parameter | Linear | Quadratic | Polynomial) → Polynomial

add_assign(rhs: Polynomial) → None

add_linear(linear: Linear) → Polynomial

add_quadratic(quadratic: Quadratic) → Polynomial

add_scalar(scalar: float) → Polynomial

almost_equal(other: Polynomial, atol: float = 1e-06) → bool

evaluate(state: ToState, atol: Optional[float] = None) → float

from_bytes(bytes: bytes) → Polynomial

mul_linear(linear: Linear) → Polynomial

mul_quadratic(quadratic: Quadratic) → Polynomial

mul_scalar(scalar: float) → Polynomial

partial_evaluate(state: ToState, atol: Optional[float] = None) → Polynomial

random(rng: Rng, num_terms: int = 5, max_degree: int = 3, max_id: int = 10) → Polynomial

terms() → dict

to_bytes() → bytes