Expert Solutions to Master-Level Programming Questions
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If you’ve been searching for programming assignment help online, this blog gives you a clear view of the quality and depth our experts deliver. Below, we present two sample master-level programming assignment questions along with expert-written solutions that showcase the kind of top-tier academic assistance we offer.
Sample Master-Level Assignment 1: Java - Multithreading and Synchronization
Question:You are required to design a Java-based simulation system that handles multiple bank account transactions concurrently. Each transaction must be thread-safe, ensuring that the account balance is updated correctly. Implement the following functionalities:
Create a BankAccount class that manages the account balance.
Use synchronized methods or blocks to ensure safe withdrawals and deposits.
Use at least three threads simulating clients performing deposits and withdrawals simultaneously.
Provide sample outputs showing successful execution without data inconsistency.
Solution by Our Expert:
class BankAccount {
private int balance = 1000;
public synchronized void deposit(int amount) {
balance += amount;
System.out.println("Deposited " + amount + ", New Balance: " + balance);
}
public synchronized void withdraw(int amount) {
if (amount <= balance) {
balance -= amount;
System.out.println("Withdrew " + amount + ", New Balance: " + balance);
} else {
System.out.println("Withdrawal of " + amount + " failed due to insufficient funds.");
}
}
}
class TransactionThread extends Thread {
private BankAccount account;
private boolean isDeposit;
TransactionThread(BankAccount account, boolean isDeposit) {
this.account = account;
this.isDeposit = isDeposit;
}
public void run() {
for (int i = 0; i < 5; i++) {
if (isDeposit)
account.deposit(100);
else
account.withdraw(100);
}
}
}
public class BankSimulation {
public static void main(String[] args) {
BankAccount account = new BankAccount();
Thread t1 = new TransactionThread(account, true);
Thread t2 = new TransactionThread(account, false);
Thread t3 = new TransactionThread(account, true);
t1.start();
t2.start();
t3.start();
}
} Result:This program guarantees thread safety and demonstrates synchronization in action. Each transaction is executed in a controlled manner, preventing inconsistent account states even under concurrent access.
Sample Master-Level Assignment 2: Python – Graph Algorithms Using Dijkstra’s Algorithm
Question:Write a Python program to implement Dijkstra’s Algorithm. The input should be a weighted graph represented by an adjacency matrix. Your program should calculate the shortest path from a given source node to all other nodes in the graph and display the results in a user-friendly format.
Solution by Our Expert:
import sys
class DijkstraAlgorithm:
def __init__(self, graph):
self.graph = graph
self.V = len(graph)
def min_distance(self, dist, spt_set):
min_val = sys.maxsize
min_index = -1
for v in range(self.V):
if dist[v] < min_val and not spt_set[v]:
min_val = dist[v]
min_index = v
return min_index
def dijkstra(self, src):
dist = [sys.maxsize] * self.V
dist[src] = 0
spt_set = [False] * self.V
for _ in range(self.V):
u = self.min_distance(dist, spt_set)
spt_set[u] = True
for v in range(self.V):
if (self.graph[u][v] > 0 and not spt_set[v] and
dist[u] + self.graph[u][v] < dist[v]):
dist[v] = dist[u] + self.graph[u][v]
self.print_solution(dist)
def print_solution(self, dist):
print("Vertex \tDistance from Source")
for node in range(self.V):
print(f"{node} \t{dist[node]}")
# Example Usage
graph = [[0, 6, 0, 1, 0],
[6, 0, 5, 2, 2],
[0, 5, 0, 0, 5],
[1, 2, 0, 0, 1],
[0, 2, 5, 1, 0]]
dijkstra = DijkstraAlgorithm(graph)
dijkstra.dijkstra(0)
Result:This script efficiently calculates the shortest distance from node 0 to all other nodes using Dijkstra's algorithm, perfect for simulations involving networking, pathfinding, or logistics optimization.
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