Things to blindly memorize Flashcards

(30 cards)

1
Q

What should you do when there is a tie for entering basic variable

A

Break the tie arbitrarily

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2
Q

What should you do when there is a tie for leaving variable

A

Break the tie arbitrarily, may lead to degeneracy

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3
Q

What is the result when there is no valid leaving variable?

A

Z is unbounded?

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4
Q

What is the result when a non-basic variable has a zero at optimality in simplex?

A

There are multiple optimal solutions, we can increase the value of the non-basic variable without affecting Z

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5
Q

What does a zero basic variable at optimality imply

A

The simplex tableau is degenerate (will cycle)

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6
Q

What is degeneracy?

A

The simplex will cycle, without modifying the value of Z

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7
Q

When do we include artificial variables?

A

When we have >= or = constraints (origin is not a feasible solution)

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8
Q

When is a simplex tableau infeasible?

A

artificial variables != 0 at optimality

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9
Q

What do the coefficients of the non-basic variables in simplex objective row correspond to

A

value of the dual variables

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10
Q

What if the dual is unbounded what can we say about the primal

A

primal is infeasible

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11
Q

If the primal is infeasible what can w e say about the dual

A

dual is infeasible or unbounded

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12
Q

what is a CPF solution

A

Corner point feasible. 2+ binding constraints

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13
Q

What is standard for of an LP

A

1) All constraints equality
2) All RHS non negative
3) All variables >=0
4) Objective Fnc is max (optional)

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14
Q

How do we implement Big M

A

for a max problem, subtract Mai

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15
Q

What are the range of optimality of the objective coefficiants

A

range for each objective function coefficient for which the current CPF solution is optimal

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16
Q

When we change the objective function coefficients within the range of optimality, how is Z affected?

A

Z changes, basis does not

17
Q

What is the 100% rule?

A

calculate percentage of the change for each coefficient for each variable. If sum of changes < 100 -> remains optimal

18
Q

What is reduced cost

A

amount by which the objective function coefficient can change before that value is included in the basis

19
Q

What is the reduced cost for a basic variable

20
Q

What is an analogy for reduced cost

A

Estimate of how much will Z change if we force a variable to be non zero

21
Q

What happens when we change the RHS of a non-binding constraint

A

optimal basis doesn’t change

optimal solution doesn’t change

22
Q

What happens when we change the rhs of a binding constraint

A

Optimal basis doesnt change

Optimal solution does change

23
Q

What is shadow price

A

The amount by which the optimal value will increase or decrease when the RHS of the constraint is increased or decreased by 1

24
Q

How is shadow price related to dual problem

A

Shadow price = value of the dual variable

25
What happens when shadow price is negative
Optimal solution gets worse when we increase RHS by one unit
26
What is an analogy for shadow price?
How much would we pay for one additional unit of the resource
27
how do we constrain that at most k out of n variables can be 1?
Sum(x_i) <= k
28
how do we constrain that x and y are mutually exclusive
x+y <= 1
29
how to we make y a prereq of x?
x <= y
30
how do we make x a corequisite of y
x = y