BIG JAVA: LATE OBJECTS
2nd Edition
ISBN: 9781119626220
Author: Horstmann
Publisher: WILEY
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Question
Chapter 13, Problem 25PE
Program Plan Intro
N Queens Problem
Program plan:
Filename: “PartialSolution.java”
This code snippet creates a class “PartialSolution”. In the code,
- Define a class “PartialSolution”.
- Declare the class variables.
- Define the constructor “PartialSolution”.
- Set “boardSize” equal to “n”.
- Define the array “queens”.
- Define the method “examine()”.
- Iterate a “for” loop,
- Iterate the inner “for” loop,
- If “queens[i]” attacks “queens[j]”.
-
- Return the value of “ABANDON”.
- If the length of the “queens” is “boardSize”,
- Return the value of “ACCEPT”.
- Else,
- Return the value of “CONTINUE”.
- If the length of the “queens” is “boardSize”,
- Return the value of “ABANDON”.
- Iterate the inner “for” loop,
- Iterate a “for” loop,
- Define the method “extend()”.
- Set the value of “result”.
- Iterate a “for” loop,
- Get the length of “queens” to “size”.
- Set the “result[i]”.
- Iterate a “for” loop,
- Set “queen[j]” to “result[i]”.
-
-
-
-
- Append the new queen to “ith” column.
-
- Return the value of “result”.
-
-
- Define a method “toString()”.
- Return the queens.
Filename: “Queen.java”
This code snippet creates a class “Queen”. In the code,
- Define a class “Queen”.
- Define the class members “row” and “column”.
- Define a constructor “Queen()”.
- Set the value of “row” and “column”.
- Define the method “attacks()”.
- Return the result of logical operation.
- Define a method “toString()”.
- Return the value.
Filename: “NQueens.java”
This code snippet creates a class “NQueens”. In the code,
- Import the required packages.
- Define a class “NQueens”.
- Define the “main” method.
- Prompt the user to enter the number.
- Define the object of class “Scanner”.
- Scan for the input.
- If the value of “n” is greater than or equal to 0,
- Call the method “solve()”.
- Define the method “solve()”.
- Define the variable “exam”.
- If the value of “exam” equal to “ACCEPT”,
- Print the value of “sol”.
- Else if, the value of “exam” is “ABANDON”,
- Iterate a “for” loop,
- Call the method “solve()”.
- Iterate a “for” loop,
- Define the “main” method.
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I need help to solve a simple problem using Grover’s algorithm, where the solution is not necessarily known beforehand. The problem is a 2×2 binary sudoku with two rules:
• No column may contain the same value twice.
• No row may contain the same value twice.
Each square in the sudoku is assigned to a variable as follows:
We want to design a quantum circuit that outputs a valid solution to this sudoku. While using Grover’s algorithm for this task is not necessarily practical, the goal is to demonstrate how classical decision problems can be converted into oracles for Grover’s algorithm.
Turning the Problem into a Circuit
To solve this, an oracle needs to be created that helps identify valid solutions. The first step is to construct a classical function within a quantum circuit that checks whether a given state satisfies the sudoku rules.
Since we need to check both columns and rows, there are four conditions to verify:
v0 ≠ v1 # Check top row
v2 ≠ v3 # Check bottom row…
I need help to solve a simple problem using Grover’s algorithm, where the solution is not necessarily known beforehand. The problem is a 2×2 binary sudoku with two rules:
• No column may contain the same value twice.
• No row may contain the same value twice.
Each square in the sudoku is assigned to a variable as follows:
We want to design a quantum circuit that outputs a valid solution to this sudoku. While using Grover’s algorithm for this task is not necessarily practical, the goal is to demonstrate how classical decision problems can be converted into oracles for Grover’s algorithm.
Turning the Problem into a Circuit
To solve this, an oracle needs to be created that helps identify valid solutions. The first step is to construct a classical function within a quantum circuit that checks whether a given state satisfies the sudoku rules.
Since we need to check both columns and rows, there are four conditions to verify:
v0 ≠ v1 # Check top row
v2 ≠ v3 # Check bottom row…
using r language
Chapter 13 Solutions
BIG JAVA: LATE OBJECTS
Ch. 13.1 - Prob. 1SCCh. 13.1 - Prob. 2SCCh. 13.1 - Prob. 3SCCh. 13.1 - Prob. 4SCCh. 13.1 - Prob. 5SCCh. 13.2 - Prob. 6SCCh. 13.2 - Prob. 7SCCh. 13.2 - Prob. 8SCCh. 13.2 - Prob. 9SCCh. 13.3 - Prob. 10SC
Ch. 13.3 - Prob. 11SCCh. 13.3 - Prob. 12SCCh. 13.4 - Prob. 13SCCh. 13.4 - Prob. 14SCCh. 13.4 - Prob. 15SCCh. 13.5 - Prob. 16SCCh. 13.5 - Prob. 17SCCh. 13.5 - Prob. 18SCCh. 13.6 - Prob. 19SCCh. 13.6 - Prob. 20SCCh. 13.6 - Prob. 21SCCh. 13 - Prob. 1RECh. 13 - Prob. 2RECh. 13 - Prob. 3RECh. 13 - Prob. 4RECh. 13 - Prob. 5RECh. 13 - Prob. 6RECh. 13 - Prob. 7RECh. 13 - Prob. 8RECh. 13 - Prob. 9RECh. 13 - Prob. 10RECh. 13 - Prob. 11RECh. 13 - Prob. 12RECh. 13 - Prob. 13RECh. 13 - Prob. 1PECh. 13 - Prob. 2PECh. 13 - Prob. 3PECh. 13 - Prob. 4PECh. 13 - Prob. 5PECh. 13 - Prob. 6PECh. 13 - Prob. 7PECh. 13 - Prob. 8PECh. 13 - Prob. 9PECh. 13 - Prob. 10PECh. 13 - Prob. 11PECh. 13 - Prob. 12PECh. 13 - Prob. 13PECh. 13 - Prob. 14PECh. 13 - Prob. 15PECh. 13 - Prob. 16PECh. 13 - Prob. 17PECh. 13 - Prob. 18PECh. 13 - Prob. 19PECh. 13 - Prob. 20PECh. 13 - Prob. 21PECh. 13 - Prob. 22PECh. 13 - Prob. 23PECh. 13 - Prob. 24PECh. 13 - Prob. 25PECh. 13 - Prob. 26PECh. 13 - Prob. 27PECh. 13 - Prob. 1PPCh. 13 - Prob. 2PPCh. 13 - Prob. 3PPCh. 13 - Prob. 4PPCh. 13 - Prob. 5PPCh. 13 - Prob. 6PPCh. 13 - Prob. 7PPCh. 13 - Prob. 8PPCh. 13 - Prob. 9PPCh. 13 - Prob. 10PPCh. 13 - Prob. 11PPCh. 13 - Prob. 12PPCh. 13 - Prob. 13PP
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