How do you relax vertex cover to a linear program?
- Delete every second edge from the graph
- Replace each 0 or 1 with a fraction between 0 and 1
- Square every variable to smooth the program
What does a linear program need?
- Variables for choices, linear limits, and a linear goal
- A guess at the answer and nothing else
- Curved limits with a squared goal
The relaxed fractional optimum bounds the integer optimum from below.
Circle one: True False
A fractional vertex cover optimum costs 6. Rounding at one half at most doubles the cost. What is the worst cost the rounded cover can have?
Answer: ______________
A dual solution certifies your primal answer is within 5 percent of optimal. What did the dual give you?
- The exact integer optimum itself
- A rounding rule for the fractions
- A certificate for a bound, without knowing the optimum
Why does rounding at one half keep every edge covered?
- Every edge holds two endpoints summing to at least 1, so one rounds up
- Rounding up always deletes the cheaper endpoint
- Halves are lucky numbers for graphs
A student rounds fractions down to 0 to save money and drops some edges. What is the error?
- Rounding down is always optimal for covers
- A cover must cover every edge; uncovered edges break feasibility whatever they save
- Dual certificates forbid all rounding
Primal rounded cost is 11 and a dual solution certifies no answer beats 10. What can you claim?
- The rounded answer is optimal, since 11 is near 10
- The rounded answer is within a factor of 1.1 of optimal
- Nothing, since primal and dual disagree