Refer to page 10 for problems on parsing.Instructions:•Design a top-down parser for the given grammar (e.g., recursive descent or LL(1)).• Compute the FIRST and FOLLOW sets and construct the parsing table if applicable.• Parse a sample input string and explain the derivation step-by-step.Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZF/view?usp=sharing]

function parse_S(): parse_A() parse_B() function parse_A(): if input_symbol == 'a':…

Answered: Refer to page 10 for problems on…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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2- Write a prolog program to take a nested list and return the number of elements in the list. For instance ?- elements ([b, [a, [d, c], e]], X). X = 5 Please also show tracing model for the above example
Please use Prolog programming language
Using prolog language write code for problem
Select all the correct statements about lists in Prolog Select one or more: a. [] is the empty list b. [a,b,c] can be represented as [H|T] where H is unified to a and T is unified to [b,c] c. [a,b,c] can be represented as [H|T] where H is unified to [a] and T is unified to [b,c] d. [[a,b,c],[a,d],d] can be represented as [H|T] where H is unified to a and T is unified to [[b,c],[a,d],d] e. [[a,b,c],[a,d],d] can be represented as [H|T] where H is unified to a and T is unified to [[b,c,a,d],d]
please answer in scheme racket flavor 1. Create the recursive function far-left that will find the left-most value 2.Create the recursive function far-right that will find right-most value 3. Write depth, a procedure that takes a tree as an argument and returns the largest number of nodes connected through parent-child links. That is, a leaf node has depth 1; a tree in which all the children of the root node are leaves has depth 2. Our world tree has depth 4 (because the longest path from the root to a leaf is, for example, world, country, state, city). 4. Write count-nodes, a procedure that takes a tree as an argument and returns the total number of nodes in the tree. (Earlier we counted the number of leaf nodes.) (define (leaf? node) (null? (children node))) (define (datum node) (car node)) (define (children node) (cdr node)) (define (count-leaves tree) (if (leaf? tree) 1 (count-leaves-in-forest (children tree)) ) ) (define (count-leaves-in-forest forest) (if (null? forest) 0 (+…
Draw the binarv expression trees for the following t / ( e • r + d % f" v - a)
Consider the following expression tree. Write the expression in a) prefix form. Answer: b) postfix form. Answer: c) infix form. Answer: Note: parentheses may be needed for infix form. 2 2 7 6 5 1 2 + + 3.
remove left recursion from the following grammar: S S a S|U U UuU|T T t|f|T n| (S)
What you need to do:1. Type that code up and run it to make sure that it is doing what it is supposed to do. Provide the strings in the header of the program when prompted.2. Use the logic in that program to design your own Recursive Descent parser in C for the following grammar:S →aABA →Abc | bB →d3. Make sure that you choose at least two strings that pass the grammar and one string that does not pass the grammar just like I did in the model program4. Submit both the code and a screen shot of your results for the choice of strings that you provided. Below is the C code that can be used to implement a Recursive Descent parser for the above grammar/* Recursive Descent Parser for the Expression Grammar:S → (L) |aL' →,SL'|εL → SL'Valid inputs: (a,(a,a)) and (a,((a,a),(a,a)))Invalid inputs:(aa,a)*/#include <stdio.h>#include <string.h>int S(), Ldash(), L();char *ip;char string[50];int main() {printf("Enter the string\n");scanf("%s", string);ip =…
Where can one look up the meanings of words like these? What is the significance of parse trees?
Prolog Depth-first based on the graph search template is not memory efficient because it keeps all active branches while searching for a goal. A more efficient search for graphs looks at one path only and exploits the Prolog built-in backtracking mechanism. Create a file searches.pl and incrementally add to it the following. arc(a, b). arc(a, f). arc(b, c). arc(b, d). arc(b, e). arc(f, g). arc(f, i). arc(i, j). arc(i, k). arc(j, e). arc(j, m). goal(d). goal(i). goal(m). (a) Implement dfs/2 (depth-first search) – this strategy takes a single path 1 as input and then expands that path with a new node until the goal is found, in which case the solution is returned in the second argument. Query your program with: ?- dfs([a], X). for each file in Tests and check you find the right solution.
Write the expression represented by the following expression tree in infix, prefix, and postfix notations. (Hint: Use the inorder, preorder, and postorder traversals described in this section to obtain your answers.)

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