Uses of Class
broadwick.math.Vector

Packages that use Vector

Package	Description
broadwick.math	Provides various math functions.
broadwick.statistics.distributions	This package contains classes for defining distributions, including user defined ones.

Uses of Vector in broadwick.math

Methods in broadwick.math that return Vector

Modifier and Type	Method and Description
Vector	Vector.add(Vector v) Add a vector to this one.
Vector	Matrix.multiply(Vector v) Returns the result of multiplying this by the vector v.
Vector	Matrix.preMultiply(Vector v) Returns the (row) vector result of premultiplying this by the vector v.
Vector	Vector.subtract(Vector v) Subtract a vector from this one.

Methods in broadwick.math with parameters of type Vector

Modifier and Type	Method and Description
Vector	Vector.add(Vector v) Add a vector to this one.
double	Vector.multiply(Vector v) Calculate the dot product of this vector with v.
Vector	Matrix.multiply(Vector v) Returns the result of multiplying this by the vector v.
Vector	Matrix.preMultiply(Vector v) Returns the (row) vector result of premultiplying this by the vector v.
Vector	Vector.subtract(Vector v) Subtract a vector from this one.

Constructors in broadwick.math with parameters of type Vector

Constructor and Description
Vector(Vector v) Copy constructor.

Uses of Vector in broadwick.statistics.distributions

Fields in broadwick.statistics.distributions declared as Vector

Modifier and Type	Field and Description
private Vector	TruncatedMultivariateNormalDistribution.lowerBounds
private Vector	TruncatedMultivariateNormalDistribution.means
private Vector	TruncatedMultivariateNormalDistribution.upperBounds

Methods in broadwick.statistics.distributions that return Vector

Modifier and Type	Method and Description
Vector	TruncatedMultivariateNormalDistribution.sample()
Vector	MultivariateNormalDistribution.sample()
Vector	ContinuousMultivariateDistribution.sample() Obtain a sample from the distribution.

Constructors in broadwick.statistics.distributions with parameters of type Vector

Constructor and Description
TruncatedMultivariateNormalDistribution(Vector means, Matrix covariances, Vector lb, Vector ub) Create an instance of a multivariate distribution that is bounded.