The MOSEK Python optimizer API manual Version 7.0 (Revision 141)

A.2. CLASS TASK 209
Description:
Appends a number of constraints to the model. Appended constraints will be declared free.
Please note that MOSEK will automatically expand the problem dimension to accommodate the
additional constraints.
See also
• Task.removecons The function removes a number of constraints.
A.2.9
Task.appendsparsesymmat()
idx = Task.appendsparsesymmat(
dim,
subi,
subj,
valij)
Appends a general sparse symmetric matrix to the vector E of symmetric matrixes.
Arguments
dim : int
Dimension of the symmetric matrix that is appended.
idx : long
Each matrix that is appended to E is assigned a unique index i.e. idx that can be used for
later reference.
subi : int[]
Row subscript in the triplets.
subj : int[]
Column subscripts in the triplets.
valij : double[]
Values of each triplet.
Description:
MOSEK maintains a storage of symmetric data matrixes that is used to build the ¯c and Ā. The
storage can be thought of as a vector of symmetric matrixes denoted E. Hence, E i is a symmetric
matrix of certain dimension.
This functionsappends a general sparse symmetric matrix on triplet form to the vector E of
symmetric matrixes. The vectors subi, subj, and valij contains the row subscripts, column
subscripts and values of each element in the symmetric matrix to be appended. Since the matrix
that is appended is symmetric then only the lower triangular part should be specified. Moreover,
duplicates are not allowed.
Observe the function reports the index (position) of the appended matrix in E.
should be used for later references to the appended matrix.
This index