Concept explainers
Explanation of Solution
Extended Backus-Naur Form (EBNF):
BNF is a natural notation for describing syntax described by John Backus and Peter Naur. By extending it, we had EBNF which only enhances the readability and writability of BNF.
The recursive descent parser works on the following EBNF for the arithmetic expressions:
{(+|-)}
{(*|/)}
id|int_constant|()
We know that, the following tokens are returned by the lexical analyzer for the lexemes:
Token | Lexeme |
11 | Identifier |
21 | + Operator |
23 | * Operator |
25 | ( |
26 | ) |
In the table the left column having the heading token refers to the token codes to the different types of the categories like:-
a) 11 = identifier
b) 21 =ADD operator
c) 23 = MULTIPLY operator
d) 25 = left brace lexeme
The example given in the problem is
Want to see the full answer?
Check out a sample textbook solutionChapter 4 Solutions
Pearson eText for Concepts of Programming Languages -- Instant Access (Pearson+)
- Show the function f(i; k) is primitive recursive where f(i; k) = Pi.Pi+1............Pi+k. Recall, Pn is the nth prime number and P0 = 0.arrow_forwardWrite down a recursive definition of the set A that consists of all binary strings that satisfy all of the following properties: -> the string ends with 0, and -> the string has length at least two, and -> the length of the string is even.arrow_forwardGive a recursive definition for the set POWERS-OF-TWO = {1 2 4 8 16 ....} and use your definition to prove that the product of two POWERS-OF-TWO is also a POWER-OF-TWOarrow_forward
- Implement a recursive function in C to calculate the nth term of the Fibonacci sequence. Test its efficiency for large values of n.arrow_forwardConsider a scenario in which you would use recursive binary search. What would you do? What is the halting condition for a recursive binary search in the first place?arrow_forwardConsider the definition of Fibonacci series: where Fo = 0, F1 = 1, F, = 1, and the recursive term is defined as Fn+1 = Fn + Fn-1- Given these, prove FoF1 + F¡F2 + ...+ F2n-1Fan F, using mathematical induction.arrow_forward
- Can you answer with the Python software languagearrow_forwardr Examples: Find the tight bound of the following recursive functions, T(n). T(n)=9T(n/3) +n T(n)= T(2n/3) +1 ● T(n)=3T(n/4)+nlogn ● T(n) = 2T (n/2)+nlogn T(n)=2T(n/2) + O(n) • T(n)=8T(n/2) +0(n²) ● T(n) = 7T(n/2) + O(n²)arrow_forwardFind a recursive definition for palindrome.arrow_forward
- 2. By hand, apply both quicksort and mergesort to the sequence A,L,G,O,R,I,T,H,M. In both cases, draw the tree of recursive calls made.arrow_forwardFind a closed form representation for the following recursively defined function. Give the run-time complexity of each recursively defined function.arrow_forwardIn kotlin, Write a recursive function with an expression body that takes a list of Pairs in which each value may be of any type, and returns a list of the first elements from each pair.arrow_forward
- C++ Programming: From Problem Analysis to Program...Computer ScienceISBN:9781337102087Author:D. S. MalikPublisher:Cengage Learning