|
•
|
model.sol(<tag>).feature(<ftag>).createSparseMatrixVal(<mname>,<M>,<N>,<Nnz>,isReal) creates a sparse matrix <mname> stored in the feature <ftag>. Here, <mname> is one of “K”, “D”, “E”, “N”, or “NF”; <M> is the number of rows; <N> is the number of columns; <Nnz> is the number of nonzeros; and isReal is true if the matrix is real.
|
|
•
|
model.sol(<tag>).feature(<ftag>).addSparseMatrixVal(<mname>,<row>,<col>,<val>) adds the values stored in <val> to the sparse matrix <mname> stored in the feature <ftag>. Here <mname> is one of “K”, “D”, “E”, “N”, or “NF”; <row> lists the rows; <col> lists the columns; and <val> are the values of the entries.
|
|
•
|
model.sol(<tag>).feature(<ftag>).createVector(<mname>,<M>,isReal) creates a vector <mname> stored in the feature <ftag>. Here, <mname> is one of “L”, or “M”; <M> is the size of the vector; and isReal is true if the vector is real.
|
|
•
|
model.sol(<tag>).feature(<ftag>).setVector(<mname>,<val>) sets the real part of the vector <mname> stored in the feature <ftag>. Here, <mname> is “L” or “M” and <val> are the values to store in the vector.
|
|
•
|
model.sol(<tag>).feature(<ftag>).addSparseMatrixValImag(<mname>,<row>,<col>,<val>) creates the imaginary part of the sparse matrix values of matrix <mname> stored in the feature <ftag>. Here, <mname> is one of “K”, “D”, “E”, “N”, or “NF”; <row> lists the rows; <col> lists the columns; and <val> are the imaginary values of the entries.
|
|
•
|
model.sol(<tag>).feature(<ftag>).setVectorImag(<mname>,<val>) sets the imaginary part of the vector <mname> stored in the feature <ftag>. Here, <mname> is “L” or “M” and <val> are the imaginary values to store in the vector.
|
|
•
|
model.sol(<tag>).feature(<ftag>).setVectorBlock(<mname>,<vals>,<startpos>) sets a subset of the real part of the vector values set by setVector(<mname>,<vals>), the subvector from the position <startpos>. Here, <mname> is “L” or “M”.
|