1 core.vectors.VectorExpression

core.vectors.VectorExpression(expressions)

A vector of expressions (result of vector arithmetic).

VectorExpression represents element-wise operations on vectors, such as x + y or 2 * x.

1.1 Parameters

Name	Type	Description	Default
expressions	Sequence[Expression]	List of scalar expressions, one per element.	required

1.2 Example

x = VectorVariable(“x”, 3) y = VectorVariable(“y”, 3) z = x + y # VectorExpression with 3 elements z[0].evaluate({“x[0]”: 1, “y[0]”: 2}) 3.0

1.3 Methods

Name	Description
dot	Compute dot product with another vector.
eq	Element-wise == constraint.
evaluate	Evaluate all expressions and return as list.
get_variables	Return all variables these expressions depend on.

1.3.1 dot

core.vectors.VectorExpression.dot(other)

Compute dot product with another vector.

1.3.1.1 Parameters

Name	Type	Description	Default
other	VectorExpression | VectorVariable	Vector to compute dot product with.	required

1.3.1.2 Returns

Name	Type	Description
	DotProduct	DotProduct expression (scalar).

1.3.1.3 Example

x = VectorVariable(“x”, 3) y = VectorVariable(“y”, 3) d = x.dot(y) d.evaluate({“x[0]”: 1, “x[1]”: 2, “x[2]”: 3, “y[0]”: 4, “y[1]”: 5, “y[2]”: 6}) 32.0

1.3.2 eq

core.vectors.VectorExpression.eq(other)

Element-wise == constraint.

1.3.2.1 Example

x = VectorVariable(“x”, 3) y = VectorVariable(“y”, 3) constraints = x.eq(y) # 3 constraints: x[i] == y[i]

1.3.3 evaluate

core.vectors.VectorExpression.evaluate(values)

Evaluate all expressions and return as list.

1.3.4 get_variables

core.vectors.VectorExpression.get_variables()

Return all variables these expressions depend on.