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ESI 6448 Discrete Optimization Theory

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Title: ESI 6448 Discrete Optimization Theory


1
ESI 6448Discrete Optimization Theory
  • Lecture 21

2
Finiteness of fractional dual algorithm
  • Make the following choices in the fractional dual
    algorithm for IP (a) Choose the source row to
    be the first row with a noninteger ai0.
    (b) Use the lexicographic version of the dual
    simplex algorithm.Then, assuming that
    the original problem has an upper bound on the
    cost z of a feasible solution, the algorithm
    terminates with an integer solution in a finite
    number of steps or finds that there is no
    feasible integer solution to the original problem.

3
Disjunctive inequalities

-x13x2 ? 7
(5, 4)
(10, 4)
P 2
(4, 2)
P 1
(0, 1)
(5, 0)
4
Disjunctive inequalities

5
Disjunctive procedure
  • Disjunctive procedure (D-inequalities)

6
D-inequalities

7
Basic Mixed Integer Inequalities

8
Mixed integer rounding inequalities

9
MIR procedure
  • MIR procedure (MIR inequalities)

10
Gomory Mixed Integer Cut

11
Example

(20/7, 3)
(2, 1)
(2, 1/2)
12
Strong valid inequalities
  • Gomory FCPA
  • terminates in a finite of steps
  • practical?
  • Find strong valid inequalities
  • more effective
  • leads to a stronger formulation

13
Dominance

14
Example

15
Polyhedra
  • We assume P ? Rn contains n linearly independent
    directions, i.e. n1 affinely independent points.
  • Such a P is full-dimensional.
  • If P is full-dimensional, it has a unique minimal
    descriptionP x ? Rn aix ? bi for i 1, ,
    mwhere each inequality is unique to within a
    positive multiple.

16
Faces
  • x1, , xk ? Rn are affinely independent
    iffx2x1, ,xkx1 are linearly independent
    iff(x1, 1), , (xk, 1) ? Rn1 are linearly
    independent
  • The dimension of P, dim(P), max of affienly
    independent points in P 1
  • P ? Rn is full-dimensional iff dim(P) n
  • F defines a face of P if F x ? P ?x ?0
    for some valid inequality ?x ? ?0 of P
  • F is a facet of P if F is a face and dim(F)
    dim(P) 1
  • If F x ? P ?x ?0 is a face of P, the
    valid inequality ?x ? ?0 is said to represent or
    define the face.

17
Facets
  • If P is full-dimensional, a valid inequality ?x ?
    ?0 is necessary in the description of P iff it
    defines a facet of P.
  • P ? R2 described byx1 ? 2x1 x2 ?
    4x1 2x2 ? 10x1 2x2 ? 6x1 x2 ? 2x1
    ? 0 x2 ? 0

x1 2x2 ? 10
x1 2x2 ? 6
x1 ? 0
(2, 2)
(0, 2)
x1 x2 ? 4
x1 ? 2
x1 x2 ? 2
(2, 0)
x2 ? 0
18
Today
  • More inequalities
  • D-inequalities
  • MIR inequalities
  • Strong valid inequalities
  • Dominance
  • Polyhedra, faces, facets
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