@@ -374,8 +374,8 @@ def solve(A, b, c, K, J, option={}):
374
374
sdpapinfo ['primalObj' ]= sdpainfo ['primalObj' ]# (c.T * x)[0,0]
375
375
sdpapinfo ['dualObj' ]= sdpainfo ['dualObj' ]# (b.T * y)[0,0]
376
376
sdpapinfo ['dualityGap' ]= sdpaputils .get_dualitygap (x ,y ,b ,c )
377
- sdpapinfo ['primalError' ]= sdpaputils .get_primalerror (x ,A ,b ,J )
378
- sdpapinfo ['dualError' ]= sdpaputils .get_dualerror (y ,A ,c ,K )
377
+ # sdpapinfo['primalError'] = sdpaputils.get_primalerror(x, A, b, J)
378
+ # sdpapinfo['dualError'] = sdpaputils.get_dualerror(y, A, c, K)
379
379
380
380
"""
381
381
SDPAP input is in CLP format (generalization of SeDuMi)
@@ -417,8 +417,8 @@ def solve(A, b, c, K, J, option={}):
417
417
maybe_print (" primalObj = %+10.16e" % sdpapinfo ['primalObj' ])
418
418
maybe_print (" dualObj = %+10.16e" % sdpapinfo ['dualObj' ])
419
419
maybe_print (" dualityGap = %+10.16e" % sdpapinfo ['dualityGap' ])
420
- maybe_print (" primalError = %+10.16e" % sdpapinfo ['primalError' ])
421
- maybe_print (" dualError = %+10.16e" % sdpapinfo ['dualError' ])
420
+ # maybe_print(" primalError = %+10.16e" % sdpapinfo['primalError'])
421
+ # maybe_print(" dualError = %+10.16e" % sdpapinfo['dualError'])
422
422
maybe_print (" convertTime = %f" % timeinfo ['convert' ])
423
423
maybe_print (" solveTime = %f" % timeinfo ['sdpa' ])
424
424
maybe_print ("retrievingTime = %f" % timeinfo ['retrieve' ])