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Give a definition of well-formed formulae in postfix notation over a set of symbols and a set of binary operators.

Short Answer

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A well-formed formula in postfix notation over a set of symbols and a set of binary operators are defined recursively by these rules:

  1. If x is a symbol, then x is a well-formed formula in postfix notation;
  2. If X and Y are well-formed formulae and \( * \) is an operator, then \( * {\bf{YX}}\) is a well-formed formula.

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01

General form

Well-formed formulaein prefix notation over a set of symbols and a set of binary operators are defined recursively by these rules:

  1. If x is a symbol, then x is a well-formed formula in prefix notation;
  2. If X and Y are well-formed formulae and \( * \) is an operator, then \( * {\bf{XY}}\) is a well-formed formula.
02

Definition for well-formed formulae

The only difference between a formula in postfix notation and prefix notation is that the order of the elements in reversed.

This implies that we only require to make 2 adjustments to the definition of a well-formed formulae in prefix notation:

Point 1: Replace “prefix” with “postfix”

Point 2: Replace \( * {\bf{XY}}\) by \( * {\bf{YX}}\). Since the order of the element is reversed.

Now, the definition is shown below:

Well-formed formulaein postfix notation over a set of symbols and a set of binary operators are defined recursively by these rules:

  1. If x is a symbol, then x is a well-formed formula in postfix notation;
  2. If X and Y are well-formed formulae and \( * \) is an operator, then \( * {\bf{YX}}\) is a well-formed formula.

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Most popular questions from this chapter

Show that Sollin’s algorithm requires at most \({\bf{logn}}\) iterations to produce a minimum spanning tree from a connected undirected weighted graph with \({\bf{n}}\) vertices.

Sollin's algorithm produces a minimum spanning tree from a connected weighted simple graph \({\bf{G = (V,E)}}\) by successively adding groups of edges. Suppose that the vertices in \({\bf{V}}\) are ordered. This produces an ordering of the edges where \({\bf{\{ }}{{\bf{u}}_{\bf{0}}}{\bf{,}}{{\bf{v}}_{\bf{0}}}{\bf{\} }}\) precedes \({\bf{\{ }}{{\bf{u}}_{\bf{1}}}{\bf{,}}{{\bf{v}}_{\bf{1}}}{\bf{\} }}\) if \({{\bf{u}}_{\bf{0}}}\) precedes \({{\bf{u}}_{\bf{1}}}\) or if \({{\bf{u}}_{\bf{0}}}{\bf{ = }}{{\bf{u}}_{\bf{1}}}\) and \({{\bf{v}}_{\bf{0}}}\) precedes \({{\bf{v}}_{\bf{1}}}\). The algorithm begins by simultaneously choosing the edge of least weight incident to each vertex. The first edge in the ordering is taken in the case of ties. This produces a graph with no simple circuits, that is, a forest of trees (Exercise \({\bf{24}}\) asks for a proof of this fact). Next, simultaneously choose for each tree in the forest the shortest edge between a vertex in this tree and a vertex in a different tree. Again the first edge in the ordering is chosen in the case of ties. (This produces a graph with no simple circuits containing fewer trees than were present before this step; see Exercise \({\bf{24}}\).) Continue the process of simultaneously adding edges connecting trees until \({\bf{n - 1}}\) edges have been chosen. At this stage a minimum spanning tree has been constructed.

Show that the addition of edges at each stage of Sollin’s algorithm produces a forest.

Build a binary search tree for the word’s banana, peach, apple, pear, coconut, mango, and papaya using alphabetical order.

a. What is a minimum spanning tree of a connected weighted graph\(?\)

b. Describe at least two different applications that require that a minimum spanning tree of a connected weighted graph be found.

Show that the first step of Sollin’s algorithm produces a forest containing at least \(\left\lceil {\frac{n}{2}} \right\rceil \) edges when the input isan undirected graph with \(n\) vertices.

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