CO250 Quiz 3 (Two phase simplex, geometry of simplex, polyhedron and convexity)

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28 Terms

1
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What is needed in order to form an auxiliary LP?

  1. Non-negativity on the RHS

  2. Need identity in A

2
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What is the key concept of the auxiliary LP?

The auxiliary variables are not in the original LP.

However, if there is a feasible solution of the auxiliary LP, where all auxiliary variables are 0s, the rest of the solution is feasible for the original LP.

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What are auxiliary variables?

Variables added in order to add an identity in A.

4
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What do we want auxiliary variables to equal?

We want auxiliary variables to be 0s.

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How do we make auxiliary variables equal to 0?

Minimize the sum.

ex. min (x4 + x5) will become max (-x4-x5)

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What are the 2 cases for running simplex on the auxiliary LP?

  1. If the optimal value is 0, then all auxiliary variables must have value 0.

    1. Dropping the auxiliary variables gives a feasible solution to the original LP

  2. If the optimal value is negative, the original LP is infeasible.

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What are the requirements of the certificate of infeasibility for vector y?

yTA >=0 and yTb <0

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What is the certificate of infeasibilty y?

y = AB-TCB

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What is the phase 1 of the two-phase simplex? 

  1. Run simplex on the auxiliary LP

    1. If the optimal value is <0, then the original LP is infeasible. STOP

    2. If the optimal value is 0, then the original LP is feasible.

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What is the phase 2 of the two-phase simplex?

Run simplex on the original LP using BFS from phase 1 (put in canonical form).

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What are the 2 results that could happen after phase 2?

Either:

  1. There is an optimal solution

  2. LP is unbounded

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What is the consequence of the two-phase simplex?

A linear program has exactly one of the three outcomes:

  1. It is infeasible

  2. It is unbounded

  3. It has an optimal solution

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What does tight constraint mean? 

Given a point x̄, an inequality constraint is tight if x̄ satisfies the inequality with equality. 

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What is an extreme point?

In R2, extreme points are feasible points that are intersections of 2 tight constraints.

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What is the meaning of basic feasible solutions?

A basic feasible solution corresponds to an extreme point in the feasible region

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What causes the moving of one point to another?

Entering/leaving variables.

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What is the result of a simplex? 

For a LP in SEF, if there is an optimal solution, then there is an extreme point that is optimal. 

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When does a degenerate iteration happen?

A degenerate iteration happens when there are more than 2 tight constraints for the point, causing an iteration to not move from one point to another.

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What is the equation of a hyperplane?

aTx = B

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What is a hyperplane?

A hyperplane is the normal vector

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What is the equation for the halfspace? 

aTx <= B

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What is a halfspace?

It is the area on the opposite side of the hyperplane

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What is the equation for a polyhedron?

{x∊Rn: Ax<=b}

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What is a polyhedron?

A polyhedron is the intersection of halfspaces.

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What makes a polyhedron special?

The feasible solution of any LP is a polyhedron.

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What is the informal definition of convexity? 

A set of points is convex if the line segment connecting any two points in the set is also in the set. 

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What is the formula used to show that a set is convex?

For any x1, x2∊C, λx1+(1-λ)x2∊C for all λ∊[0, 1].

This is a convex combination

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