Initialise (bristlecone)

Initialise Module

Function or value	Description
`initialise d rng` Full Usage: `initialise d rng` Parameters: d : `Domain` rng : `Random` Returns: `TypedTensor<Vector, MeasureProduct<optim-space, MeasureOne>>`	Generate a random point from bounds specified as a `Domain`. A value for each dimension is drawn from a univariate normal distribution, assuming that the bounds represent the 99th percentiles of the distribution. d : `Domain` rng : `Random` Returns: `TypedTensor<Vector, MeasureProduct<optim-space, MeasureOne>>`
`isInvalidTheta theta constraints` Full Usage: `isInvalidTheta theta constraints` Parameters: theta : `float<MeasureProduct<optim-space, MeasureOne>> seq` constraints : `Constraint seq` Returns: `bool`	Assesses if theta is valid based on the provided constraints. theta : `float<MeasureProduct<optim-space, MeasureOne>> seq` constraints : `Constraint seq` Returns: `bool`
`tryGenerateTheta f domain random n` Full Usage: `tryGenerateTheta f domain random n` Parameters: f : `Objective` domain : `Domain` random : `Random` n : `int` Returns: `Result<Point, string>`	Attempts to generate random theta based on starting bounds for n tries. If the theta does not meet given constraints, or `f` evaluates to NaN or an infinity then the algorithm tries again. f : `Objective` domain : `Domain` random : `Random` n : `int` Returns: `Result<Point, string>`