LoopStructural.interpolators

Interpolators and interpolation supports

Classes

InterpolatorType(value)	Enum for the different interpolator types
GeologicalInterpolator([data, up_to_date])	LoopStructural.interpolators.data
DiscreteInterpolator(support[, data, c, ...])	Base class for a discrete interpolator e.g. piecewise linear or finite difference which is any interpolator that solves the system using least squares approximation.
FiniteDifferenceInterpolator(grid[, data])	Finite difference interpolation on a regular cartesian grid
PiecewiseLinearInterpolator	alias of P1Interpolator
DiscreteFoldInterpolator(support[, fold])	A piecewise linear interpolator that can also use fold constraints defined in Laurent et al., 2016
P1Interpolator(mesh)	Piecewise Linear Interpolator Approximates scalar field by finding coefficients to a piecewise linear equation on a tetrahedral mesh.
P2Interpolator(mesh)	Piecewise Linear Interpolator Approximates scalar field by finding coefficients to a piecewise linear equation on a tetrahedral mesh.
TetMesh([origin, nsteps, step_vector])	param origin - 3d list or numpy array:
StructuredGrid([origin, nsteps, ...])	param origin - 3d list or numpy array:
UnStructuredTetMesh(nodes, elements, neighbours)	An unstructured mesh defined by nodes, elements and neighbours An axis aligned bounding box (AABB) is used to speed up finding which tetra a point is in.
P1Unstructured2d(elements, vertices, neighbours)	This class is the base
P2Unstructured2d(elements, vertices, neighbours)	This class is the base
StructuredGrid2D([origin, nsteps, step_vector])	param origin - 2d list or numpy array:
P2UnstructuredTetMesh(nodes, elements, ...)	An unstructured mesh defined by nodes, elements and neighbours An axis aligned bounding box (AABB) is used to speed up finding which tetra a point is in.