MIP Lifting Techniques for Mixed Integer Nonlinear Programs

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1 MIP Lifting Techniques for Mixed Integer Nonlinear Programs Jean-Philippe P. Richard* School of Industrial Engineering, Purdue University Mohit Tawarmalani Krannert School of Management, Purdue University *Supported by NSF DMI

2 Structure of the Talk MIP, Thursday June 8th 2

3 MIP, Thursday June 8th 3

4 A Motivation in Integer Programming MIP, Thursday June 8th 4

5 A Motivation in Integer Programming MIP, Thursday June 8th 5

6 What is MIP Lifting? MIP, Thursday June 8th 6

7 Some Literature on MIP lifting MIP, Thursday June 8th 7

8 What is Hard about MINLP Lifting? MIP, Thursday June 8th 8

9 Overview & Goal of Our Work MIP, Thursday June 8th 9

10 Some Nice Features of MINLP Lifting MIP, Thursday June 8th 10

11 MIP, Thursday June 8th 11

12 Goal of Part II MIP, Thursday June 8th 12

13 MIP, Thursday June 8th 13

14 Mixed Integer Nonlinear Knapsack MIP, Thursday June 8th 14

15 Mixed Integer Nonlinear Knapsack MIP, Thursday June 8th 15

16 Generating Valid Inequalities for PS MIP, Thursday June 8th 16

17 A General Lifting Result for PS MIP, Thursday June 8th 17

18 Advantages and Limitations of the Lifting Scheme MIP, Thursday June 8th 18

19 A Superadditive Lifting Result for PS MIP, Thursday June 8th 19

20 A Superadditive Lifting Result for PS MIP, Thursday June 8th 20

21 A Superadditive Lifting Result for PS MIP, Thursday June 8th 21

22 MIP, Thursday June 8th 22

23 Application: Bilinear Mixed Integer Knapsack Problem (BMIKP) MIP, Thursday June 8th 23

24 BMIKP: Comments MIP, Thursday June 8th 24

25 The Convex Hull of PT is a Polyhedron MIP, Thursday June 8th 25

26 Obtaining Facets of PT using Superadditive Lifting MIP, Thursday June 8th 26

27 Obtaining Facets of PT using Superadditive Lifting MIP, Thursday June 8th 27

28 Example MIP, Thursday June 8th 28

29 Obtaining Facets of PT using Superadditive Lifting MIP, Thursday June 8th 29

30 Another Family of Strong Inequalities for PT MIP, Thursday June 8th 30

31 Another Family of Strong Inequalities for PT MIP, Thursday June 8th 31

32 Example MIP, Thursday June 8th 32

33 MIP, Thursday June 8th 33

34 MIP, Thursday June 8th 34

35 An Equivalent Integer Programming Formulation for PT MIP, Thursday June 8th 35

36 An Equivalent Integer Programming Formulation for PT MIP, Thursday June 8th 36

37 Strong Rank-1 Inequalities MIP, Thursday June 8th 37

38 High Rank Certificate MIP, Thursday June 8th 38

39 Lifted Cover Cuts for BMIKP are not Strong Rank-1 MIP, Thursday June 8th 39

40 Towards the Next Step MIP, Thursday June 8th 40

41 MIP, Thursday June 8th 41

42 Goal of Part III MIP, Thursday June 8th 42

43 A General Procedure MIP, Thursday June 8th 43

44 Deriving Nonlinear Cuts for Mixed Integer Programs: Applications MIP, Thursday June 8th 44

45 Obtaining the Convex Hull of a Simple Bilinear Knapsack Set MIP, Thursday June 8th 45

46 Obtaining the Convex hull of a Simple Bilinear Knapsack Set MIP, Thursday June 8th 46

47 Obtaining the Convex hull of a Simple Bilinear Knapsack Set MIP, Thursday June 8th 47

48 Obtaining the Convex hull of a Simple Bilinear Knapsack Set MIP, Thursday June 8th 48

49 Obtaining Convex Hulls of Disjunctive Sets: An Example MIP, Thursday June 8th 49

50 Obtaining Convex Hulls of Disjunctive Sets: An Example MIP, Thursday June 8th 50

51 Obtaining Convex Hulls of Disjunctive Sets: An Example MIP, Thursday June 8th 51

52 Obtaining the Convex Hull of Disjunctive Sets: A Result MIP, Thursday June 8th 52

53 Obtaining the Convex Hull of Disjunctive Sets: An Example MIP, Thursday June 8th 53

54 Obtaining the Convex Hull of Disjunctive Sets: An Example MIP, Thursday June 8th 54

55 Some Comments MIP, Thursday June 8th 55

56 MIP, Thursday June 8th 56

57 Goal of Part IV MIP, Thursday June 8th 57

58 Generalizing the Theory MIP, Thursday June 8th 58

59 Generalizing the Superadditive Lifting Theory MIP, Thursday June 8th 59

60 Application: Sequence Independent lifting for single-constraint problems MIP, Thursday June 8th 60

61 Application: Sequence Independent lifting for single-constraint problems MIP, Thursday June 8th 61

62 MIP, Thursday June 8th 62

63 Conclusion & Future Work MIP, Thursday June 8th 63

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