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

5.4. SEMIDEFINITE OPTIMIZATION 43
162 except mosek.Exception as e:
163 print ("ERROR: %s" % str(e.errno))
164 if e.msg is not None:
165 print ("\t%s" % e.msg)
166 sys.exit(1)
167 except:
168 import traceback
169 traceback.print exc()
170 sys.exit(1)
171 sys.exit(0)
5.4.1.2 Source code comments
This example introduces several new functions. The first new function Task.appendbarvars is used
to append the semidefinite variable:
79 task.appendbarvars(BARVARDIM)
[ sdo1.py ]
Symmetric matrices are created using the function Task.appendsparsesymmat:
103 symc = \
104 task.appendsparsesymmat(BARVARDIM[0],
105 barci,
106 barcj,
107 barcval)
108
109 syma0 = \
110 task.appendsparsesymmat(BARVARDIM[0],
111 barai[0],
112 baraj[0],
113 baraval[0])
114
115 syma1 = \
116 task.appendsparsesymmat(BARVARDIM[0],
117 barai[1],
118 baraj[1],
119 baraval[1])
[ sdo1.py ]
The second argument specifies the dimension of the symmetric variable and the third argument gives
the number of non-zeros in the lower triangular part of the matrix. The next three arguments specify
the non-zeros in the lower-triangle in triplet format, and the last argument will be updated with a
unique index of the created symmetric matrix.
After one or more symmetric matrices have been created using Task.appendsparsesymmat, we can
combine them to setup a objective matrix coefficient c j using Task.putbarcj, which forms a linear
combination of one more symmetric matrices:
121 task.putbarcj(0, [symc], [1.0])
[ sdo1.py ]