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In this blog, we’re showcasing two master-level programming assignments that our experts completed. These examples demonstrate our quality of service and the expertise of our tutors. If you're searching for programming assignment help USA, you’ll see exactly why thousands of students choose us.

Assignment 1: Multi-threaded File Processor in Java

Question:

Create a Java program that reads multiple text files concurrently using multithreading and calculates the frequency of each word across all files. The output should be a sorted list of words with their corresponding frequency. Make sure the solution handles synchronization properly to avoid data inconsistency.

Solution by Our Expert:

 

import java.io.*;
import java.util.*;
import java.util.concurrent.*;

public class WordFrequencyCounter {
    private static final ConcurrentHashMap<String, Integer> wordMap = new ConcurrentHashMap<>();

    public static void main(String[] args) throws InterruptedException {
        String[] files = {"file1.txt", "file2.txt", "file3.txt"};
        ExecutorService executor = Executors.newFixedThreadPool(files.length);

        for (String file : files) {
            executor.execute(() -> processFile(file));
        }

        executor.shutdown();
        executor.awaitTermination(5, TimeUnit.MINUTES);

        List<Map.Entry<String, Integer>> sortedWords = new ArrayList<>(wordMap.entrySet());
        sortedWords.sort(Map.Entry.comparingByKey());

        for (Map.Entry<String, Integer> entry : sortedWords) {
            System.out.println(entry.getKey() + ": " + entry.getValue());
        }
    }

    private static void processFile(String fileName) {
        try (BufferedReader br = new BufferedReader(new FileReader(fileName))) {
            String line;
            while ((line = br.readLine()) != null) {
                String[] words = line.toLowerCase().split("\\W+");
                for (String word : words) {
                    wordMap.merge(word, 1, Integer::sum);
                }
            }
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
}

Expert Tip: We ensured thread-safety using ConcurrentHashMap, making it suitable for real-world applications where data races can lead to serious bugs.

Assignment 2: Dynamic Programming – Knapsack Problem in Python

Question:

Write a Python program using dynamic programming to solve the 0/1 Knapsack Problem. Given weights and values of n items, put these items in a knapsack of capacity W to get the maximum total value.

Solution by Our Expert:

 

def knapsack(weights, values, W, n):
    dp = [[0 for _ in range(W + 1)] for _ in range(n + 1)]

    for i in range(n + 1):
        for w in range(W + 1):
            if i == 0 or w == 0:
                dp[i][w] = 0
            elif weights[i - 1] <= w:
                dp[i][w] = max(values[i - 1] + dp[i - 1][w - weights[i - 1]], dp[i - 1][w])
            else:
                dp[i][w] = dp[i - 1][w]
    
    return dp[n][W]

# Sample Data
weights = [10, 20, 30]
values = [60, 100, 120]
capacity = 50
n = len(weights)

print("Maximum value in Knapsack =", knapsack(weights, values, capacity, n))

Expert Tip: Our Python expert optimized the memory and execution time by using a bottom-up approach instead of recursion.

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