Programming Language Pragmatics, Fourth Edition
4th Edition
ISBN: 9780124104099
Author: Michael L. Scott
Publisher: Elsevier Science
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Chapter 2, Problem 4E
Program Plan Intro
Deterministic Finite Automata (DFA):
- Empty string transition is not used by the DFA.
- It is very difficult to construct. Backtracking is possible in DFA
- It needs more space for allocation. All DFAs are derived from NFAs.
Non-Deterministic Finite Automata (NFA):
- Empty string transition is used by the NFA.
- It is very easy to construct. Backtracking is not possible in NFA.
- It needs less space for allocation. All NFAs are not DFAs.
Explanation of Solution
b.
DFA for the regular expression letter (letter | digit) *:
Explanation of Solution
c.
Minimization of above DFA:
After minimizing the above DFA,
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Chapter 2 Solutions
Programming Language Pragmatics, Fourth Edition
Ch. 2.1 - Prob. 1CYUCh. 2.1 - Prob. 2CYUCh. 2.1 - Prob. 3CYUCh. 2.1 - Prob. 4CYUCh. 2.1 - Prob. 5CYUCh. 2.1 - Prob. 6CYUCh. 2.1 - Prob. 7CYUCh. 2.1 - Prob. 8CYUCh. 2.1 - Prob. 9CYUCh. 2.2 - Prob. 10CYU
Ch. 2.2 - Prob. 11CYUCh. 2.2 - Prob. 12CYUCh. 2.2 - Prob. 13CYUCh. 2.2 - Prob. 14CYUCh. 2.2 - Prob. 15CYUCh. 2.2 - Prob. 16CYUCh. 2.2 - Prob. 17CYUCh. 2.2 - Prob. 18CYUCh. 2.2 - Prob. 19CYUCh. 2.3 - Prob. 20CYUCh. 2.3 - Prob. 21CYUCh. 2.3 - Prob. 22CYUCh. 2.3 - Prob. 23CYUCh. 2.3 - Prob. 24CYUCh. 2.3 - Prob. 25CYUCh. 2.3 - Prob. 26CYUCh. 2.3 - Prob. 27CYUCh. 2.3 - Prob. 28CYUCh. 2.3 - Prob. 29CYUCh. 2.3 - Prob. 30CYUCh. 2.3 - Prob. 31CYUCh. 2.3 - Prob. 32CYUCh. 2.3 - Prob. 33CYUCh. 2.3 - Prob. 34CYUCh. 2.3 - Prob. 35CYUCh. 2.3 - Prob. 36CYUCh. 2.3 - Prob. 37CYUCh. 2.3 - Prob. 38CYUCh. 2.3 - Prob. 39CYUCh. 2.3 - Prob. 40CYUCh. 2.3 - Prob. 41CYUCh. 2.3 - Prob. 42CYUCh. 2.3 - Prob. 43CYUCh. 2.3 - Prob. 44CYUCh. 2 - Prob. 3ECh. 2 - Prob. 4ECh. 2 - Prob. 5ECh. 2 - Prob. 9ECh. 2 - Prob. 10ECh. 2 - Prob. 11ECh. 2 - Prob. 12ECh. 2 - Prob. 13ECh. 2 - Prob. 14ECh. 2 - Prob. 15ECh. 2 - Prob. 16ECh. 2 - Prob. 17ECh. 2 - Prob. 18ECh. 2 - Prob. 19ECh. 2 - Prob. 20ECh. 2 - Prob. 24ECh. 2 - Prob. 26ECh. 2 - Prob. 27ECh. 2 - Prob. 28ECh. 2 - Prob. 38EQCh. 2 - Prob. 40EQ
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- Answer two JAVA OOP questions.arrow_forwardPlease answer Java OOP Questions.arrow_forward.NET Interactive Solving Sudoku using Grover's Algorithm We will now solve a simple problem using Grover's algorithm, for which we do not necessarily know the solution beforehand. Our problem is a 2x2 binary sudoku, which in our case has two simple rules: •No column may contain the same value twice •No row may contain the same value twice If we assign each square in our sudoku to a variable like so: 1 V V₁ V3 V2 we want our circuit to output a solution to this sudoku. Note that, while this approach of using Grover's algorithm to solve this problem is not practical (you can probably find the solution in your head!), the purpose of this example is to demonstrate the conversion of classical decision problems into oracles for Grover's algorithm. Turning the Problem into a Circuit We want to create an oracle that will help us solve this problem, and we will start by creating a circuit that identifies a correct solution, we simply need to create a classical function on a quantum circuit that…arrow_forward
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