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

214 APPENDIX A. API REFERENCE
rightpricej : double[]
rightpricej[j] is the right shadow price for the coefficients with index subj[j].
rightrangej : double[]
rightrangej[j] is the right range β 2 for the coefficient with index subj[j].
subj : int[]
Index of objective coefficients to analyze.
Description:
See also
Calculates sensitivity information for objective coefficients. The indexes of the coefficients to
analyze are
{subj[i]|i ∈ 0, . . . , numj − 1}
The results are returned so that e.g leftprice[j] is the left shadow price of the objective coefficient
with index subj[j].
The type of sensitivity analysis to perform (basis or optimal partition) is controlled by the
parameter iparam.sensitivity type.
For an example, please see Section 15.5.
• Task.primalsensitivity Perform sensitivity analysis on bounds.
• Task.sensitivityreport Creates a sensitivity report.
• iparam.sensitivity type Controls which type of sensitivity analysis is to be performed.
• iparam.log sensitivity Control logging in sensitivity analyzer.
• iparam.log sensitivity opt Control logging in sensitivity analyzer.
A.2.19
Task.getacol()
nzj = Task.getacol(
j,
subj,
valj)
Obtains one column of the linear constraint matrix.
Arguments
j : int
Index of the column.
nzj : int
Number of non-zeros in the column obtained.