Algorithm of decorated graph, Data Structure & Algorithms

Assignment Help:

As we talked in class, a program with two integer variables is universal. Now, we consider a special form of four variableprograms. Let G = (V; E) be a directed graph, where V is a finite set of nodes, and E ⊆V X V be the set of (directed) edges (arcs). In particular, we identify a node as the initial node, and a node as the final node. Let x1; x2; x3; x4 be four non-negative integer variables. Further, we decorate each edge with one of the following instructions: (1 ≤i≤ 4)

xi:= xi + 1;

xi:= 0;

xi == c? (c is a non-negative integer)

The result is called a decorated graph (we still use G to denote it). The semantics of a decorated graph is straightforward. It executes from the initial node with x1; x2; x3; x4 being 0, then walks along the graph. G can walk an edge (v, v') if all of the following conditions are satisfied: for each 1 ≤i≤4,

  • if the edge is decorated with instruction xi:= xi + 1 for some i, the new value of xi is one more than the old value, and all the other xj(j ≠i) is unchanged.
  • if the edge is decorated with instruction xi:= 0, the new value of xi is set to 0, and all the other xj (j ≠i) is unchanged.
  • if the edge is decorated with instruction xi == c?, the value of xi must be c.

If at a node, G has more than one edge that can be walked, then G non-deterministically chooses one. If at a node G has no edge that can be walked, then G crashes (i.e., do not walk any further). We say that a decorated graph G is terminating if G can walk from an initial node to a final node and at the final node the values of x1; x2; x3; x4 satisfy the following constraint:

x1 = x2 = x3 = x4:

Show me an algorithm that answers (yes/no) whether G is terminating or not. (To correct a common misunderstanding, I shall point out that a walk could be arbitrarily long even though there are only 10 nodes in the graph! So, don't even try depth/breadth first search.)


Related Discussions:- Algorithm of decorated graph

Depth of complete binary tree, What will be depth do , of complete binary t...

What will be depth do , of complete binary tree of n nodes, where nodes are labelled from 1 to n with root as node and last leaf node as node n

Deletion algorithm for dequeue, Deletion Algorithm for dequeue Step 1:...

Deletion Algorithm for dequeue Step 1: [check for underflow]   If front = 0 and rear = 0   Output "underflow" and return Step 2: [delete element at front end]   If front

Compare two functions, Comp are two functions n 2    and  2 n  / 4...

Comp are two functions n 2    and  2 n  / 4  for distinct values of n.   Determine When s ec on d function b ec om es l a r g er th an f i r st functi

Omega notation, The ?-Notation (Lower Bound) This notation provides a l...

The ?-Notation (Lower Bound) This notation provides a lower bound for a function to within a constant factor. We write f(n) = ?(g(n)), if there are positive constants n 0 and

Explain internal and external nodes, Explain Internal and External Nodes ...

Explain Internal and External Nodes  To  draw  the  tree's  extension  by  changing  the  empty  subtrees  by  special nodes. The  extra  nodes shown by little squares are know

Implementation of queue, For a queue a physical analogy is a line at bookin...

For a queue a physical analogy is a line at booking counter. At booking counter, customers go to the rear (end) of the line & customers are attended to several services from the fr

Psedocodes, write a pseudocode to input the top speed (in km''s/hours) of 5...

write a pseudocode to input the top speed (in km''s/hours) of 5000 cars output the fastest speed and the slowest speed output the average (mean) speed of all the 5000 cars answers

Explain the halting problem, Explain the halting problem Given a comput...

Explain the halting problem Given a computer program and an input to it, verify whether the program will halt on that input or continue working indefinitely on it.

Definitions of graph, A graph G might be defined as a finite set V of verti...

A graph G might be defined as a finite set V of vertices & a set E of edges (pair of connected vertices). The notation utilized is as follows: Graph G = (V, E) Consider the g

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd