Add a Matrix Inverse node (

) under 
Definitions>Variable Utilities (if 
Group by Type is active; otherwise, directly under 
Definitions) to define a matrix of variables as the inverse of a square input matrix. You add it by right-clicking the 
Definitions node and choosing 
Variable Utilities>Matrix Inverse or by right-clicking the 
Variable Utilities node and choosing 
Matrix Inverse.
 
    You can define a Label for the node, and a namespace for variables using the 
Name field. For the 
Geometric Entity Selection, see 
About Selecting Geometric Entities.
 
    In addition, the Settings window for a 
Matrix Inverse node contains the following section:
 
    In this section, you define the input matrix to invert. Choose a Matrix format: 
Full (the default), 
Symmetric, or 
Hermitian. For a symmetric or Hermitian matrix, you only enter the upper-triangular part of the matrix. A Hermitian matrix (or self-adjoint matrix) is a complex square matrix that is equal to its own conjugate transpose. From the 
Matrix size list, choose a matrix size from 1-by-1 to 9-by-9; the enter the matrix elements in the table below.
 
    The resulting matrix inverse is available as a list of scalar variables with names <name>.invT<i><j>, where 
<name> is the namespace set in the 
Name field, and 
<i> and 
<j> are integer indices. The input matrix with names 
<name>.T<i><j>, as well as the matrix determinant 
<name>.detT are also made available. Note that the determinant is not computed for matrices of size 4-by-4 or larger; if required, use a 
Matrix Decomposition node instead.
 
    You can use individual components where variable expressions are allowed, but also evaluate all variables at once using a matrix evaluation node under Derived Values. For example, select 
matinv1.invT under 
Model>Component 1>Definitions>Matrix Inverse 1>Matrix inverse if it the node has been defined as 
Matrix Inverse 1 with the name 
matinv1 in 
Component 1.