CPLEX Batch Run Report

Report for 2007-02-07

Input (Problems)

Models

Datasets

Complexity (Dimensions of IP Matrices)

Udine1
sparse13 bin. vars.
5621 x 12307 matrix
156508 nz.

Complexity (Steps and Time)

Udine1
sparse13 30 nodes in
24581 iterations
0 + 94 s
see log

Output (Solutions)

Summary

Udine1
sparse13 Optimal
cost = 2e+02
see plot

Solution of sparse13 for Udine1

Global timetable

Period:
Day:
1 2 3 4
1 1: Mat1G
2: Eltec
3: EcoIng
4: Dis
5: Mat1C
6: ImpMecG
7: ImpMecM
8: CalStr
9: IdrAppl
11: Geotec
1: Dis
2: AnMat2G
3: CosIdr
4: RicOp
5: ImpMecM
6: TecCos
7: Mat1E
10: Eltec
1: GestAz
2: MachIM
3: EcoOrg
4: Stat
5: SceCosC
6: CosIdr
7: EcoOrAz
9: EleSisDig
11: CCIAA2
12: Geotec
1: TecCos
2: ArcTec
3: Mat1M
4: MachIG
5: TerFlu
6: ImpInd
7: AnMat2E
8: EleSisDig
10: EletIIG
12: CCIAA2
2 1: MachIG
2: ArcTec
3: Mat1G
4: EletIIG
5: Mat1E
6: AnMat2E
7: Campi
10: IdrAppl
11: EspGeo
12: CCIAA3
1: EcoOrAz
2: Dis
3: EletIIE
4: GestAz
5: Stat
6: SceCosC
7: ImpMecM
9: Geotec
10: RilAmb
11: GeoAppl
12: ElCam
1: AnMat2G
2: TecCos
3: ImpInd
4: MecVib
5: TerFlu
6: AnMat2C
7: MetMat
9: GeotecDAB
10: ImpMecG
12: IngTer
1: EcoIng
2: Mat1G
3: Mat1C
4: EcoOrg
5: Mat1M
6: RicOp
7: MachIM
9: IngTer
10: MetMat
12: GeotecDAB
3 1: MachIG
2: EcoOrg
3: EletIIG
4: Campi
5: SceCosC
6: EcoOrAz
7: AnMat2C
8: ElCam
10: ImpMecG
1: ArcTec
2: AnMat2C
3: GestAz
4: EletIIE
5: AnMat2E
6: ImpInd
7: RicOp
9: ElCam
11: IngTer
12: EspGeo
1: EcoIng
2: EletIIG
3: MachIM
4: Stat
5: TecCos
6: MecVib
7: CosIdr
9: ElCam
10: MetMat
11: EletIIEs
12: MetMatDUE
1: Mat1E
2: Mat1M
3: ImpMecM
4: Stat
5: EcoIng
6: TerFlu
7: Eltec
8: Geotec
9: GeotecDAB
10: RilAmb
11: GeoAppl
12: CalStr
4 1: MachIG
2: CosIdr
3: Stat
4: AnMat2E
5: EcoIng
6: Campi
7: Mat1C
10: Inglese
11: Geotec
1: Mat1E
2: EletIIE
3: EcoOrAz
4: Mat1G
5: TecCos
6: AnMat2G
7: MachIG
8: IngTer
9: GeotecDAB
10: IdrAppl
11: MetMatDUE
12: CalStr
1: EcoOrg
2: Mat1C
3: AnMat2C
4: EletIIE
5: SceCosC
6: RicOp
7: Eltec
8: RilAmb
9: EspGeo
10: MecVib
11: ElCam
1: Dis
2: ImpInd
3: ImpMecG
4: Campi
5: MecVib
6: ArcTec
7: MetMat
8: EltecEs
9: CCIAA3
11: GeoAppl
12: RilAmb
5 1: TerFlu
2: MecVib
3: ArcTec
4: Mat1C
5: Mat1G
6: CosIdr
7: ImpMecG
9: MetMatDUE
10: EleSisDig
12: GeotecDAB
1: AnMat2E
2: EcoOrg
3: TerFlu
4: SceCosC
5: Mat1M
6: RicOp
7: EletIIG
8: Inglese
9: CalStr
10: ImpMecM
11: IngTer
12: IdrAppl
1: EcoOrAz
2: AnMat2G
3: ImpInd
4: Dis
5: EletIIE
6: MachIM
7: GestAz
8: IdrAppl
9: CalStr
10: Eltec
11: ElCam
1: GestAz
2: Campi
3: AnMat2G
4: Mat1M
5: MachIM
6: AnMat2C
7: Mat1E
10: MetMat
11: RilAmb
12: GeotecDAB

Timetable for curriculum 1

Period:
Day:
1 2 3 4
1 Dis Dis
2 Dis AnMat2C
3 AnMat2C AnMat2C
4 AnMat2C Dis
5 Dis AnMat2C

Timetable for curriculum 2

Period:
Day:
1 2 3 4
1 SceCosC ArcTec
2 ArcTec SceCosC
3 SceCosC ArcTec
4 SceCosC ArcTec
5 ArcTec SceCosC

Timetable for curriculum 3

Period:
Day:
1 2 3 4
1 Geotec TecCos Geotec TecCos
2 Geotec TecCos
3 TecCos Geotec
4 Geotec TecCos
5

Timetable for curriculum 4

Period:
Day:
1 2 3 4
1 CalStr CosIdr CosIdr
2
3 CosIdr CalStr
4 CosIdr CalStr
5 CosIdr CalStr CalStr

Timetable for curriculum 5

Period:
Day:
1 2 3 4
1 CosIdr CosIdr
2 IngTer IngTer
3 IngTer CosIdr
4 CosIdr IngTer
5 CosIdr IngTer

Timetable for curriculum 6

Period:
Day:
1 2 3 4
1 IdrAppl CosIdr CosIdr
2 IdrAppl RilAmb
3 CosIdr RilAmb
4 CosIdr IdrAppl RilAmb RilAmb
5 CosIdr IdrAppl IdrAppl RilAmb

Timetable for curriculum 7

Period:
Day:
1 2 3 4
1 EcoOrAz AnMat2E
2 AnMat2E EcoOrAz
3 EcoOrAz AnMat2E
4 AnMat2E EcoOrAz
5 AnMat2E EcoOrAz

Timetable for curriculum 8

Period:
Day:
1 2 3 4
1 Eltec Eltec
2 MetMat MetMat
3 MetMat Eltec
4 Eltec MetMat
5 Eltec MetMat

Timetable for curriculum 9

Period:
Day:
1 2 3 4
1
2 Campi EletIIE
3 Campi EletIIE
4 Campi EletIIE EletIIE Campi
5 EletIIE Campi

Timetable for curriculum 10

Period:
Day:
1 2 3 4
1 AnMat2G Stat
2 Stat AnMat2G
3 Stat Stat
4 Stat AnMat2G
5 AnMat2G AnMat2G

Timetable for curriculum 11

Period:
Day:
1 2 3 4
1 EcoOrg ImpInd
2 ImpInd EcoOrg
3 EcoOrg ImpInd
4 EcoOrg ImpInd
5 EcoOrg ImpInd

Timetable for curriculum 12

Period:
Day:
1 2 3 4
1 GestAz EletIIG
2 EletIIG GestAz
3 EletIIG GestAz EletIIG
4
5 EletIIG GestAz GestAz

Timetable for curriculum 13

Period:
Day:
1 2 3 4
1 GestAz MachIG
2 MachIG GestAz
3 MachIG GestAz
4 MachIG MachIG
5 GestAz GestAz

Timetable for curriculum 14

Period:
Day:
1 2 3 4
1 ImpMecG RicOp
2 ImpMecG RicOp
3 ImpMecG RicOp
4 RicOp ImpMecG
5 ImpMecG RicOp

Timetable for curriculum 15

Period:
Day:
1 2 3 4
1 EcoIng AnMat2G
2 AnMat2G EcoIng
3 EcoIng EcoIng
4 EcoIng AnMat2G
5 AnMat2G AnMat2G

Timetable for curriculum 16

Period:
Day:
1 2 3 4
1 SceCosC ImpInd
2 SceCosC ImpInd
3 SceCosC ImpInd
4 SceCosC ImpInd
5 SceCosC ImpInd

Timetable for curriculum 17

Period:
Day:
1 2 3 4
1 MachIM TerFlu
2 TerFlu MachIM
3 MachIM TerFlu
4
5 TerFlu TerFlu MachIM MachIM

Timetable for curriculum 18

Period:
Day:
1 2 3 4
1 ImpMecM ImpMecM
2 ImpMecM MecVib
3 MecVib ImpMecM
4 MecVib MecVib
5 MecVib ImpMecM

Timetable for curriculum 19

Period:
Day:
1 2 3 4
1
2 EspGeo GeoAppl
3 EspGeo MetMatDUE GeoAppl
4 Inglese MetMatDUE EspGeo GeoAppl
5 MetMatDUE Inglese

Timetable for curriculum 20

Period:
Day:
1 2 3 4
1
2 ElCam GeotecDAB GeotecDAB
3 ElCam ElCam ElCam GeotecDAB
4 Inglese GeotecDAB ElCam
5 GeotecDAB Inglese ElCam GeotecDAB

Timetable for curriculum 21

Period:
Day:
1 2 3 4
1 Eltec Eltec CCIAA2 CCIAA2
2
3 MetMatDUE Eltec
4 Inglese MetMatDUE Eltec EltecEs
5 MetMatDUE Inglese Eltec

Timetable for curriculum 22

Period:
Day:
1 2 3 4
1 EleSisDig EleSisDig
2 CCIAA3 EletIIE
3 EletIIE EletIIEs
4 Inglese EletIIE EletIIE CCIAA3
5 EleSisDig Inglese EletIIE
Back to summary

Timetable for course Mat1C

Period:
Day:
1 2 3 4
1 5 (cap. 216)
2 3 (cap. 216)
3
4 7 (cap. 105) 2 (cap. 216)
5 4 (cap. 216)

Params for Mat1C: students = 100, teacher = Rossi, events = 5, minDays = 4.

Timetable for course Mat1E

Period:
Day:
1 2 3 4
1 7 (cap. 105)
2 5 (cap. 216)
3 1 (cap. 312)
4 1 (cap. 312)
5 7 (cap. 105)

Params for Mat1E: students = 100, teacher = Gialli, events = 5, minDays = 4.

Timetable for course Mat1G

Period:
Day:
1 2 3 4
1 1 (cap. 312)
2 3 (cap. 216) 2 (cap. 216)
3
4 4 (cap. 216)
5 5 (cap. 216)

Params for Mat1G: students = 100, teacher = Verdi, events = 5, minDays = 4.

Timetable for course Mat1M

Period:
Day:
1 2 3 4
1 3 (cap. 216)
2 5 (cap. 216)
3 2 (cap. 216)
4
5 5 (cap. 216) 4 (cap. 216)

Params for Mat1M: students = 100, teacher = Neri, events = 5, minDays = 4.

Timetable for course AnMat2C

Period:
Day:
1 2 3 4
1
2 6 (cap. 312)
3 7 (cap. 105) 2 (cap. 216)
4 3 (cap. 216)
5 6 (cap. 312)

Params for AnMat2C: students = 100, teacher = Blu, events = 5, minDays = 4.

Timetable for course Dis

Period:
Day:
1 2 3 4
1 4 (cap. 216) 1 (cap. 312)
2 2 (cap. 216)
3
4 1 (cap. 312)
5 4 (cap. 216)

Params for Dis: students = 100, teacher = Viola, events = 5, minDays = 4.

Timetable for course SceCosC

Period:
Day:
1 2 3 4
1 5 (cap. 216)
2 6 (cap. 312)
3 5 (cap. 216)
4 5 (cap. 216)
5 4 (cap. 216)

Params for SceCosC: students = 80, teacher = Ocra, events = 5, minDays = 4.

Timetable for course ArcTec

Period:
Day:
1 2 3 4
1 2 (cap. 216)
2 2 (cap. 216)
3 1 (cap. 312)
4 6 (cap. 312)
5 3 (cap. 216)

Params for ArcTec: students = 80, teacher = Indaco, events = 5, minDays = 4.

Timetable for course TecCos

Period:
Day:
1 2 3 4
1 6 (cap. 312) 1 (cap. 312)
2 2 (cap. 216)
3 5 (cap. 216)
4 5 (cap. 216)
5

Params for TecCos: students = 80, teacher = Rosa, events = 5, minDays = 4.

Timetable for course Geotec

Period:
Day:
1 2 3 4
1 11 (cap. 42) 12 (cap. 42)
2 9 (cap. 32)
3 8 (cap. 30)
4 11 (cap. 42)
5

Params for Geotec: students = 10, teacher = Scarlatti, events = 5, minDays = 4.

Timetable for course CosIdr

Period:
Day:
1 2 3 4
1 3 (cap. 216) 6 (cap. 312)
2
3 7 (cap. 105)
4 2 (cap. 216)
5 6 (cap. 312)

Params for CosIdr: students = 80, teacher = Amaranto, events = 5, minDays = 4.

Timetable for course CalStr

Period:
Day:
1 2 3 4
1 8 (cap. 30)
2
3 12 (cap. 42)
4 12 (cap. 42)
5 9 (cap. 32) 9 (cap. 32)

Params for CalStr: students = 30, teacher = Celeste, events = 5, minDays = 4.

Timetable for course IngTer

Period:
Day:
1 2 3 4
1
2 12 (cap. 42) 9 (cap. 32)
3 11 (cap. 42)
4 8 (cap. 30)
5 11 (cap. 42)

Params for IngTer: students = 30, teacher = Arancio, events = 5, minDays = 4.

Timetable for course IdrAppl

Period:
Day:
1 2 3 4
1 9 (cap. 32)
2 10 (cap. 50)
3
4 10 (cap. 50)
5 12 (cap. 42) 8 (cap. 30)

Params for IdrAppl: students = 30, teacher = Porpora, events = 5, minDays = 4.

Timetable for course RilAmb

Period:
Day:
1 2 3 4
1
2 10 (cap. 50)
3 10 (cap. 50)
4 8 (cap. 30) 12 (cap. 42)
5 11 (cap. 42)

Params for RilAmb: students = 10, teacher = Marroni, events = 5, minDays = 4.

Timetable for course AnMat2E

Period:
Day:
1 2 3 4
1 7 (cap. 105)
2 6 (cap. 312)
3 5 (cap. 216)
4 4 (cap. 216)
5 1 (cap. 312)

Params for AnMat2E: students = 80, teacher = Sabbia, events = 5, minDays = 4.

Timetable for course EcoOrAz

Period:
Day:
1 2 3 4
1 7 (cap. 105)
2 1 (cap. 312)
3 6 (cap. 312)
4 3 (cap. 216)
5 1 (cap. 312)

Params for EcoOrAz: students = 80, teacher = Perla, events = 5, minDays = 4.

Timetable for course Eltec

Period:
Day:
1 2 3 4
1 2 (cap. 216) 10 (cap. 50)
2
3 7 (cap. 105)
4 7 (cap. 105)
5 10 (cap. 50)

Params for Eltec: students = 70, teacher = Grigi, events = 5, minDays = 4.

Timetable for course MetMat

Period:
Day:
1 2 3 4
1
2 7 (cap. 105) 10 (cap. 50)
3 10 (cap. 50)
4 7 (cap. 105)
5 10 (cap. 50)

Params for MetMat: students = 70, teacher = Bianchi, events = 5, minDays = 4.

Timetable for course EletIIE

Period:
Day:
1 2 3 4
1
2 3 (cap. 216)
3 4 (cap. 216)
4 2 (cap. 216) 4 (cap. 216)
5 5 (cap. 216)

Params for EletIIE: students = 70, teacher = Rosso, events = 5, minDays = 4.

Timetable for course Campi

Period:
Day:
1 2 3 4
1
2 7 (cap. 105)
3 4 (cap. 216)
4 6 (cap. 312) 4 (cap. 216)
5 2 (cap. 216)

Params for Campi: students = 70, teacher = Prugna, events = 5, minDays = 4.

Timetable for course AnMat2G

Period:
Day:
1 2 3 4
1 2 (cap. 216)
2 1 (cap. 312)
3
4 6 (cap. 312)
5 2 (cap. 216) 3 (cap. 216)

Params for AnMat2G: students = 80, teacher = Sabbia, events = 5, minDays = 4.

Timetable for course Stat

Period:
Day:
1 2 3 4
1 4 (cap. 216)
2 5 (cap. 216)
3 4 (cap. 216) 4 (cap. 216)
4 3 (cap. 216)
5

Params for Stat: students = 80, teacher = Lilla, events = 5, minDays = 4.

Timetable for course ImpInd

Period:
Day:
1 2 3 4
1 6 (cap. 312)
2 3 (cap. 216)
3 6 (cap. 312)
4 2 (cap. 216)
5 3 (cap. 216)

Params for ImpInd: students = 80, teacher = Turchese, events = 5, minDays = 4.

Timetable for course EcoOrg

Period:
Day:
1 2 3 4
1 3 (cap. 216)
2 4 (cap. 216)
3 2 (cap. 216)
4 1 (cap. 312)
5 2 (cap. 216)

Params for EcoOrg: students = 80, teacher = Oliva, events = 5, minDays = 4.

Timetable for course GestAz

Period:
Day:
1 2 3 4
1 1 (cap. 312)
2 4 (cap. 216)
3 3 (cap. 216)
4
5 7 (cap. 105) 1 (cap. 312)

Params for GestAz: students = 80, teacher = Chiari, events = 5, minDays = 4.

Timetable for course MachIG

Period:
Day:
1 2 3 4
1 4 (cap. 216)
2 1 (cap. 312)
3 1 (cap. 312)
4 1 (cap. 312) 7 (cap. 105)
5

Params for MachIG: students = 80, teacher = Scuri, events = 5, minDays = 4.

Timetable for course EletIIG

Period:
Day:
1 2 3 4
1 10 (cap. 50)
2 4 (cap. 216)
3 3 (cap. 216) 2 (cap. 216)
4
5 7 (cap. 105)

Params for EletIIG: students = 70, teacher = Rosso, events = 5, minDays = 4.

Timetable for course ImpMecG

Period:
Day:
1 2 3 4
1 6 (cap. 312)
2 10 (cap. 50)
3 10 (cap. 50)
4 3 (cap. 216)
5 7 (cap. 105)

Params for ImpMecG: students = 70, teacher = Fumo, events = 5, minDays = 4.

Timetable for course RicOp

Period:
Day:
1 2 3 4
1 4 (cap. 216)
2 6 (cap. 312)
3 7 (cap. 105)
4 6 (cap. 312)
5 6 (cap. 312)

Params for RicOp: students = 80, teacher = Cremisi, events = 5, minDays = 4.

Timetable for course EcoIng

Period:
Day:
1 2 3 4
1 3 (cap. 216)
2 1 (cap. 312)
3 1 (cap. 312) 5 (cap. 216)
4 5 (cap. 216)
5

Params for EcoIng: students = 100, teacher = Indaco, events = 5, minDays = 4.

Timetable for course MachIM

Period:
Day:
1 2 3 4
1 2 (cap. 216)
2 7 (cap. 105)
3 3 (cap. 216)
4
5 6 (cap. 312) 5 (cap. 216)

Params for MachIM: students = 80, teacher = Scuro, events = 5, minDays = 4.

Timetable for course TerFlu

Period:
Day:
1 2 3 4
1 5 (cap. 216)
2 5 (cap. 216)
3 6 (cap. 312)
4
5 1 (cap. 312) 3 (cap. 216)

Params for TerFlu: students = 80, teacher = Bruno, events = 5, minDays = 4.

Timetable for course ImpMecM

Period:
Day:
1 2 3 4
1 7 (cap. 105) 5 (cap. 216)
2 7 (cap. 105)
3 3 (cap. 216)
4
5 10 (cap. 50)

Params for ImpMecM: students = 70, teacher = Seppia, events = 5, minDays = 4.

Timetable for course MecVib

Period:
Day:
1 2 3 4
1
2 4 (cap. 216)
3 6 (cap. 312)
4 10 (cap. 50) 5 (cap. 216)
5 2 (cap. 216)

Params for MecVib: students = 70, teacher = Antracite, events = 5, minDays = 4.

Timetable for course GeoAppl

Period:
Day:
1 2 3 4
1
2 11 (cap. 42)
3 11 (cap. 42)
4 11 (cap. 42)
5

Params for GeoAppl: students = 20, teacher = Piombo, events = 3, minDays = 3.

Timetable for course EspGeo

Period:
Day:
1 2 3 4
1
2 11 (cap. 42)
3 12 (cap. 42)
4 9 (cap. 32)
5

Params for EspGeo: students = 20, teacher = Verdepino, events = 3, minDays = 3.

Timetable for course GeotecDAB

Period:
Day:
1 2 3 4
1
2 9 (cap. 32) 12 (cap. 42)
3 9 (cap. 32)
4 9 (cap. 32)
5 12 (cap. 42) 12 (cap. 42)

Params for GeotecDAB: students = 20, teacher = Bluastro, events = 6, minDays = 4.

Timetable for course ElCam

Period:
Day:
1 2 3 4
1
2 12 (cap. 42)
3 8 (cap. 30) 9 (cap. 32) 9 (cap. 32)
4 11 (cap. 42)
5 11 (cap. 42)

Params for ElCam: students = 20, teacher = Blunotte, events = 6, minDays = 4.

Timetable for course MetMatDUE

Period:
Day:
1 2 3 4
1
2
3 12 (cap. 42)
4 11 (cap. 42)
5 9 (cap. 32)

Params for MetMatDUE: students = 20, teacher = Limone, events = 3, minDays = 3.

Timetable for course EltecEs

Period:
Day:
1 2 3 4
1
2
3
4 8 (cap. 30)
5

Params for EltecEs: students = 20, teacher = Oliva, events = 1, minDays = 1.

Timetable for course EletIIEs

Period:
Day:
1 2 3 4
1
2
3 11 (cap. 42)
4
5

Params for EletIIEs: students = 20, teacher = Porpora, events = 1, minDays = 1.

Timetable for course EleSisDig

Period:
Day:
1 2 3 4
1 9 (cap. 32) 8 (cap. 30)
2
3
4
5 10 (cap. 50)

Params for EleSisDig: students = 20, teacher = Zaffiro, events = 3, minDays = 2.

Timetable for course CCIAA2

Period:
Day:
1 2 3 4
1 11 (cap. 42) 12 (cap. 42)
2
3
4
5

Params for CCIAA2: students = 20, teacher = Rossi, events = 2, minDays = 1.

Timetable for course CCIAA3

Period:
Day:
1 2 3 4
1
2 12 (cap. 42)
3
4 9 (cap. 32)
5

Params for CCIAA3: students = 20, teacher = Rossi, events = 2, minDays = 1.

Timetable for course Inglese

Period:
Day:
1 2 3 4
1
2
3
4 10 (cap. 50)
5 8 (cap. 30)

Params for Inglese: students = 20, teacher = Smith, events = 2, minDays = 2.

Back to summary

Log of CPLEX running sparse13 for Udine1

 ./modelrun  ./tmp/sparse13.mod ./tmp/Udine1.dat  ./tmp/sparse13.mod.Udine1.dat.cal.lp  ./tmp/sparse13.mod.Udine1.dat.cal.dat  ./tmp/sparse13.mod.Udine1.dat.cal.ord  ./tmp/sparse13.mod.Udine1.dat.log.txt  ./tmp/sparse13.mod.Udine1.dat.sol  
Tried aggregator 1 time.
MIP Presolve eliminated 2166 rows and 254 columns.
MIP Presolve modified 16102 coefficients.
Aggregator did 1 substitutions.
Reduced MIP has 3427 rows, 12052 columns, and 97787 nonzeros.
Presolve time =    0.36 sec.
Clique table members: 1658.
MIP emphasis: balance optimality and feasibility.
Tried aggregator 1 time.
LP Presolve eliminated 10 rows and 0 columns.
Reduced LP has 3417 rows, 12052 columns, and 97297 nonzeros.
Presolve time =    0.05 sec.
Initializing dual steep norms . . .

Iteration log . . .
Iteration:     1   Dual objective     =             0.000000
Perturbation started.
Iteration:   102   Dual objective     =            -0.000000
Iteration:   312   Dual objective     =             0.000028
Iteration:   525   Dual objective     =             0.000043
Iteration:   732   Dual objective     =             0.000058
Iteration:   927   Dual objective     =             0.000068
Iteration:  1048   Dual objective     =             0.000075
Iteration:  1160   Dual objective     =             0.000080
Iteration:  1273   Dual objective     =             0.000089
Iteration:  1393   Dual objective     =             0.000094
Iteration:  1502   Dual objective     =             0.000100
Iteration:  1607   Dual objective     =             0.000103
Iteration:  1710   Dual objective     =             0.000109
Iteration:  1822   Dual objective     =             0.000112
Iteration:  1933   Dual objective     =             0.000117
Iteration:  2029   Dual objective     =             0.000122
Iteration:  2128   Dual objective     =             0.000129
Iteration:  2234   Dual objective     =             0.000132
Iteration:  2342   Dual objective     =             0.000135
Iteration:  2450   Dual objective     =             0.000139
Iteration:  2552   Dual objective     =             0.000143
Iteration:  2657   Dual objective     =             0.000147
Iteration:  2763   Dual objective     =             0.000152
Iteration:  2882   Dual objective     =           200.000133
Iteration:  2980   Dual objective     =           200.000137
Iteration:  3094   Dual objective     =           200.000140
Iteration:  3200   Dual objective     =           200.000142
Iteration:  3307   Dual objective     =           200.000144
Iteration:  3411   Dual objective     =           200.000147
Iteration:  3494   Dual objective     =           200.000149
Iteration:  3583   Dual objective     =           200.000150
Iteration:  3672   Dual objective     =           200.000151
Iteration:  3761   Dual objective     =           200.000152
Iteration:  3850   Dual objective     =           200.000153
Iteration:  3937   Dual objective     =           200.000153
Iteration:  4030   Dual objective     =           200.000154
Iteration:  4116   Dual objective     =           200.000155
Removing perturbation.
Root relaxation solution time =    3.23 sec.

        Nodes                                         Cuts/
   Node  Left     Objective  IInf  Best Integer     Best Node    ItCnt     Gap         Variable B Parent  Depth

      0     0      200.0000   766                    200.0000     4207         
                   200.0000   391                   Cuts:  60     7432         
                   200.0000   172                   Cuts:  92    11312         
Heuristic still looking.
*     0+    0                   0      481.0000      200.0000    11312   58.42%
Heuristic complete.
*     0+    0                   0      359.0000      200.0000    11312   44.29%
Elapsed time =  46.89 sec. (tree size =  0.00 MB).
*    20+   20                   0      210.0000      200.0000    22645    4.76%
*    30+    2                   0      200.0000      200.0000    24581    0.00%

Clique cuts applied:  9
Gomory fractional cuts applied:  15

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