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

A.2. CLASS TASK 327
Description:
Replaces all quadratic entries in the constraints. Consider constraints on the form:
l c k ≤ 1 2
numvar−1
∑
i=0
numvar−1
∑
j=0
The function assigns values to q such that:
numvar−1
∑
qijx k i x j +
j=0
a kj x j ≤ u c k, k = 0, . . . , m − 1.
and
q qcsubk[t]
qcsubi[t],qcsubj[t]
= qcval[t], t = 0, . . . , numqcnz − 1.
See also
Values not assigned are set to zero.
q qcsubk[t]
qcsubj[t],qcsubi[t]
= qcval[t], t = 0, . . . , numqcnz − 1.
Please note that duplicate entries are added together.
• Task.putqconk Replaces all quadratic terms in a single constraint.
• Task.putmaxnumqnz Changes the size of the preallocated storage for quadratic terms.
A.2.216
Task.putqconk()
Task.putqconk(
k,
qcsubi,
qcsubj,
qcval)
Replaces all quadratic terms in a single constraint.
Arguments
k : int
The constraint in which the new Q elements are inserted.
qcsubi : int[]
Row subscripts for quadratic constraint matrix.
qcsubj : int[]
Column subscripts for quadratic constraint matrix.
qcval : double[]
Quadratic constraint coefficient values.