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Show that the change-making problem (Exercise) can be formulated as an integer linear program. Can we solve this program as an LP, in the certainty that the solution will turn out to be integral (as in the case of bipartite matching)? Either prove it or give a counterexample.

Short Answer

Expert verified

As little more than a result, it is a collection of non-negative integers represented asn1+n2+...+nn forn coins, as well as the number of coins must always be kept to a minimum.

Step by step solution

01

Consider the information

• During linear regression, every problem is actually parameters are stated as linear relationships, as well as the greatest profit or minimal cost is calculated utilizing linear relationships.

• It's a type of mathematical programming in which connections are optimised depending on limitations.

02

Numerical (Int) Linear Problem

• Obtaining the value of can be used to solve the integer issue.ni as one if the nth If a coin is chosen, the goal is to go to zero.

o Minimizen1+n2+...+nn

o Subject tox1n1+x2n2+...+xnnn=v

• As either a result, the linear connection may be expressed as follows:

o Minimizei=1nni

o Subject toi=1nxini=v

• Exactly integer values are contained inside the combination of something like a number of coins with their value.

As a result, the issue may be expressed as such an integers linear problem.

Linear programming:

“Yes”. This linear programme could be used to fix the issues..

03

Conclusion

• Given are the coins with denominations x1+x2+...+xnand the objective is to find the change for the value υ.

• Linear programming can be used to solve the presented problem.

• It necessitates the use of the fewest possible coins.

• Suppose nidenotes the number of times the ithused n1+n2++nncoins.

• Therefore, it is a set of non-negative integers forncoins written asand the number of coins must be minimized.

• That minimization should indeed be done under the constraint that the total value of the coins chosen is the same as the supplied value.v.

• Another criteria for such an optimization seems to be that the total of the coins chosen equals the provided value.

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Most popular questions from this chapter

For the linear program

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Prove that the solution(x1,x2,x3)=(3/2,1/2,0) is optimal

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Hall’s theorem. Returning to the matchmaking scenario of Section 7.3, suppose we have a bipartite graph with boys on the left and an equal number of girls on the right. Hall’s theorem says that there is a perfect matching if and only if the following condition holds: any subset sof boys is connected to at least |s|girls.

Prove this theorem. (Hint: The max-flow min-cut theorem should be helpful.)

Direct bipartite matching. We’ve seen how to find a maximum matching in a bipartite graph via reduction to the maximum flow problem. We now develop a direct algorithm.

Let G=(V1V2,E)be a bipartite graph (so each edge has one endpoint in V1and one endpoint in V2), and letMEbe a matching in the graph (that is, a set of edges that don’t touch). A vertex is said to be covered byMif it is the endpoint of one of the edges in M. An alternating path is a path of odd length that starts and ends with a non-covered vertex, and whose edges alternate between Mand E-M.

(a) In the bipartite graph below, a matching Mis shown in bold. Find an alternating path.


(b) Prove that a matchingMis maximal if and only if there does not exist an alternating path with respect to it.

(c) Design an algorithm that finds an alternating path inO(|V|+|E|)time using a variant of breadth-first search.

(d) Give a directO(|V|-|E|)algorithm for finding a maximal matching in a bipartite graph.

Find the value of the game specified by the following payoff matrix.

00110121111110011203111103210211

(Hint: Consider the mixed strategies (13,0,0,12,16,0,0,0)and )(23,0,0,13))

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