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Expert C Assignment Help for Better Academic Performance

Author : Enzo Jade | Published On : 25 Feb 2026

C programming remains one of the most foundational yet technically demanding languages in computer science curricula. From pointer arithmetic and memory management to file handling and concurrency, students are expected to demonstrate strong conceptual clarity and implementation precision. At www.programminghomeworkhelp.com, we specialize in delivering high-quality academic support tailored to university standards. If you are searching for reliable c assignment help australia, our experts are equipped to handle even master-level tasks with accuracy and academic integrity.

Our service is designed to help students achieve Perfect Grades through structured solutions, clean code, detailed explanations, and strict adherence to university guidelines. Below are sample master-level assignment questions completed by our expert team to demonstrate the depth and quality of our assistance.

Master-Level Assignment Question 1

Problem:
Design a C program that implements a dynamic hash table using separate chaining. The program should support insertion, search, and deletion operations. Analyze time complexity and handle collision resolution effectively.

Expert Solution (Simplified Core Logic)


 
 
 
#include
#include
#include

#define SIZE 10

typedef struct Node {
char key[50];
struct Node* next;
} Node;

Node* hashTable[SIZE];

unsigned int hashFunction(char* key) {
unsigned int hash = 0;
while (*key)
hash = (hash * 31) + *key++;
return hash % SIZE;
}

void insert(char* key) {
unsigned int index = hashFunction(key);
Node* newNode = (Node*)malloc(sizeof(Node));
strcpy(newNode->key, key);
newNode->next = hashTable[index];
hashTable[index] = newNode;
}

int search(char* key) {
unsigned int index = hashFunction(key);
Node* temp = hashTable[index];
while (temp) {
if (strcmp(temp->key, key) == 0)
return 1;
temp = temp->next;
}
return 0;
}
 

Explanation:
The program uses a polynomial rolling hash for uniform distribution. Separate chaining resolves collisions through linked lists. Average-case complexity for insertion and search is O(1), while worst-case is O(n) if collisions are excessive. Our expert ensures memory allocation checks and proper deallocation in final submission.

Master-Level Assignment Question 2

Problem:
Develop a multithreaded C program using POSIX threads to compute the parallel sum of a large integer array. Ensure synchronization and thread safety.

Expert Solution (Simplified Core Logic)


 
 
 
#include
#include
#include

#define THREADS 4
#define ARRAY_SIZE 1000

int arr[ARRAY_SIZE];
long long totalSum = 0;
pthread_mutex_t lock;

void* partialSum(void* arg) {
int start = *((int*)arg);
int end = start + ARRAY_SIZE / THREADS;
long long localSum = 0;

for (int i = start; i < end; i++)
localSum += arr[i];

pthread_mutex_lock(&lock);
totalSum += localSum;
pthread_mutex_unlock(&lock);

pthread_exit(NULL);
}

int main() {
pthread_t threads[THREADS];
int indices[THREADS];

pthread_mutex_init(&lock, NULL);

for (int i = 0; i < ARRAY_SIZE; i++)
arr[i] = 1;

for (int i = 0; i < THREADS; i++) {
indices[i] = i * (ARRAY_SIZE / THREADS);
pthread_create(&threads[i], NULL, partialSum, &indices[i]);
}

for (int i = 0; i < THREADS; i++)
pthread_join(threads[i], NULL);

printf("Total Sum = %lldn", totalSum);

pthread_mutex_destroy(&lock);
return 0;
}
 

Explanation:
This implementation divides workload evenly across threads. A mutex ensures race-condition prevention while updating the shared variable. Our expert version includes error handling for thread creation and memory optimization strategies as per academic grading rubrics.

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