Creates an empty dataset that is associated with arbitrary x/y/z coordinate in space, and with additional matrix, a connectivity matrix to connect them. The connectivity matrix comes after x, y, and z. Like rectilinear datasets, unstructured datasets can be parameterized, and can contain an arbitrary number of attributes (see addattribute) and parameters (see addparameter) .
See Dataset introduction for more information. For datasets that are not associated with the x/y/z coordinates (ex. transmission as a function of frequency), see matrixdataset .
Creates an empty unstructured dataset associated with the coordinates x/y/z and a connectivity matrix to connect them.
Arguments 'x', 'y' and 'z' must be the same length; equivalent to the total number of points.
The argument 'C' should be a matrix of integers where the number of rows equal to number of shapes in the mesh, the number of columns should be 2 (line segments), 3 (triangles) or 4 (tetrahedra), and values should be integers.
Below is a simple example of the usage of unstructured dataset. x, y and z vectors represent arbitrary points in space and C represent the connectivity matrix that connects them. The values for the vectors can be loaded from the unstructured_charge_example.mat file. It is possible to further script this process and import the data to an object, eg, np density grid attribute, see the importdataset command.
# constructing an unstructured dataset matlabload("unstructured_charge_example.mat"); # taking the data from a CHARGE simulation. The data can be from a different source x = charge.x; y = charge.y; z = charge.z; C = charge.elements; data = unstructureddataset("test",x,y,z,C); V_cathode = charge.V_cathode; V_anode = charge.V_anode; n = pinch(charge.n); p = pinch(charge.p); data.addparameter("V_cathode",V_cathode); data.addparameter("V_anode",V_anode); data.addattribute("n",n); data.addattribute("p",p); visualize(data);
This next example creates an unstructured dataset (with the name "Absorption") that contains 2 data attributes: the power absorption Pabs, and the refractive index n. Both attributes are a function of the spatial parameters x/y/z and frequency f. Connectivity matrix cm has also been specified. To allow the user to access the frequency parameter in terms of frequency or wavelength , both frequency (f) and wavelength (c/f) are added as interdependent parameters.
Absorption = unstructureddataset("Absorption",x,y,z,cm); Absorption.addparameter("lambda",c/f,"f",f); Absorption.addattribute("Pabs",Pabs); Absorption.addattribute("refractive index",n); visualize(Absorption); # visualize this dataset in the Visualizer
This example shows how to define an equilaterial triangle in the plane z=0
x = [0;1;2]; y = [0;sqrt(3);0]; z = [0;0;0]; C = [1,3,2]; ds = unstructureddataset(x,y,z,C);
rectilineardataset , addattribute , addparameter , visualize , datasets , getparameter , getattribute , matrixdataset , struct