Things to blindly memorize Flashcards

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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

A

0

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
Q

What happens when shadow price is negative

A

Optimal solution gets worse when we increase RHS by one unit

26
Q

What is an analogy for shadow price?

A

How much would we pay for one additional unit of the resource

27
Q

how do we constrain that at most k out of n variables can be 1?

A

Sum(x_i) <= k

28
Q

how do we constrain that x and y are mutually exclusive

A

x+y <= 1

29
Q

how to we make y a prereq of x?

A

x <= y

30
Q

how do we make x a corequisite of y

A

x = y