Tensor (bristlecone)

Tensor Module

Modules	Description
Interval	Functions for constraining the interval over which to conduct root-finding.

Function or value	Description
`bisect f target lo hi tol maxIter` Full Usage: `bisect f target lo hi tol maxIter` Parameters: f : `Tensor -> Tensor` target : `Tensor` lo : `Tensor` hi : `Tensor` tol : `Tensor` maxIter : `int` Returns: `Tensor`	Bisect method for finding root of non-linear equations. `adSafe` keeps within tensor space for all operations, but is substantially slower owing to two casts. f : `Tensor -> Tensor` target : `Tensor` lo : `Tensor` hi : `Tensor` tol : `Tensor` maxIter : `int` Returns: `Tensor`
`newtonRaphson f target x0 lo hi maxIter` Full Usage: `newtonRaphson f target x0 lo hi maxIter` Parameters: f : `Tensor -> Tensor` target : `Tensor` x0 : `Tensor` lo : `Tensor` hi : `Tensor` maxIter : `int` Returns: `Tensor`	Newton–Raphson root finder using AD for derivative. f : `Tensor -> Tensor` target : `Tensor` x0 : `Tensor` lo : `Tensor` hi : `Tensor` maxIter : `int` Returns: `Tensor`
`refinedGrid f target grid values lo hi` Full Usage: `refinedGrid f target grid values lo hi` Parameters: f : `Tensor -> Tensor` target : `Tensor` grid : `Tensor` values : `Tensor` lo : `Tensor` hi : `Tensor` Returns: `Tensor`	Finds the root of a non-linear equation by solving f() over an equally-spaced grid of size `nGrid`. Uses AD gradients. f : `Tensor -> Tensor` target : `Tensor` grid : `Tensor` values : `Tensor` lo : `Tensor` hi : `Tensor` Returns: `Tensor`