compas.numerical

This package defines a number of numerical utilities. In future versions, this package will disappear, and its functionality will be integrated into the geometry and datastructure packages directly.

Functions

adjacency_matrix	Creates a vertex adjacency matrix.
chofactor	Returns the Cholesky factorisation/decomposition matrix.
connectivity_matrix	Creates a connectivity matrix from a list of vertex index pairs.
degree_matrix	Creates a matrix representing vertex degrees.
dof	Returns the degrees-of-freedom of the input matrix A.
equilibrium_matrix	Construct the equilibrium matrix of a structural system.
face_matrix	Creates a face-vertex adjacency matrix.
laplacian_matrix	Creates a laplacian matrix from a list of edge topologies.
lufactorized	Return a function for solving a sparse linear system (LU decomposition).
mass_matrix	Creates a network's nodal mass matrix.
nonpivots	Identify the non-pivots of input matrix U.
normalizerow	Normalise the rows of matrix A.
normrow	Calculates the 2-norm of each row of matrix A.
nullspace	Calculates the nullspace of the input matrix A.
pivots	Identify the pivots of input matrix U.
rank	Calculates the rank of the input matrix A.
rot90	Rotate an array of vectors through 90 degrees around an array of axes.
rref	Reduced row-echelon form of matrix A.
solve_with_known	Solve a system of linear equations with part of solution known.
spsolve_with_known	Solve (sparse) a system of linear equations with part of solution known.
stiffness_matrix
uvw_lengths	Calculates the lengths and co-ordinate differences.

Functions using Numpy

In environments where numpy is not available, these functions can still be accessed through RPC.

pca_numpy

Compute the principle components of a set of data points.

Pluggables

Pluggables are functions that don’t have an actual implementation, but receive an implementation from a plugin.

scalarfield_contours

Compute the contour lines of a scalarfield.