There are many variants of Rudrata’s problem, depending on whether the graph is undirected or directed, and whether a cycle or path is sought. Reduce the DIRECTED RUDRATA PATH problem to each of the following.(a)The (undirected) RUDRATA PATH problem.(b) The undirected RUDRATA PATH problem, which is just like RUDRATA PATH except that the endpoints of the path are specified in the input.

Short Answer

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2. Enumerating the source and destination solves the given problem.

Step by step solution

01

Explain the RUDTATA PATH problem

Consider a directed or undirected graph, In which there exists a path that visits each vertex exactly once. The path is known as RUDRATA PATH.

02

Reduce undirected RUDTATA PATH problem

Consider the directed graph G, in which each vertex v is categorized into new and old vertices i+o. In-degree vertices are represented as i and the out-degree vertices are represented as o. Consider that every directed edge is connected to the vertex that is transformed intoi+onew undirected edge of the vertex.

Assume that the vertex connected to the incoming edges is called the incoming vertex and the vertex connected to the outgoing edges is called the outgoing vertex. Connect each incoming vertex to undirected edges.

Thus, the graph G is transformed into G'. Consider the following example,

Therefore, the undirected graph is reduced to RUDATA PATH.

03

The undirected RUDRATA (s,t)− PATH problem.

Consider the directed graph G, in which each vertex is categorized into new and old vertices . In-degree vertices are represented as and the out-degree vertices are represented as . Consider that every directed edge is connected to the vertex that is transformed into new undirected edge of the vertex.

Based on the above graph information, enumerate the path as . Consider the vertex source as , and the vertex that ends the cycle is t.

Therefore, enumerating the source and destination solves the given problem.

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Most popular questions from this chapter

The kSPANNING TREE problem is the following.Input: An undirected graph G=(V,E) Output: A spanning tree of G in which each node has degree k, if such a tree exists.Show that for any k2:

  1. k SPANNING TREE is a search problem.
  2. k SPANNING TREE is NP-complete. (Hint: Start with k=2 and consider the relation between this problem and RUDRATA PATH.)

Show that, if c is a positive real number, then g(n) = 1 + c + c2 + · · · + cn is:

(a) Θ(1) if c < 1.

(b) Θ(n) if c = 1.

(c) Θ(cn) if c > 1.

The moral: in big-Θ terms, the sum of a geometric series is simply the first term if the series is strictly decreasing, the last term if the series is strictly increasing, or the number of terms if the series is unchanging.

Here’s a problem that occurs in automatic program analysis. For a set of variablesx1,......,xn, you are given some equality constraints, of the form “ xi=xj” and some disequality constraints, of the form “ xixj.” Is it possible to satisfy all of them?

For instance, the constraints.

x1=x2,x2=x3,x3=x4,x1x4

cannot be satisfied. Give an efficient algorithm that takes as input m constraints over n variables and decides whether the constraints can be satisfied.

The Fibonacci numbers F0,F1,F2,... are defined by the rule

F0=0,F1=1,Fn=Fn1+Fn2.

In this problem we will confirm that this sequence grows exponentially fast and obtain some bounds on its growth.

(a) Use induction to prove that Fn20.5nfor n6.

(b) Find a constant c<1such thatFn2cn for all n0. Show that your answer is correct.

(c) What is the largestc you can find for which Fn=Ω(2cn)?

Question: 0.1. In each of the following situations, indicate whether f=O(g),orf=Ω(g),or both (in which case f=(g))

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