## Data Structures Homework Help | Do My Data Structures Homework

Many students who are pursuing computer science and IT courses have to learn data structures initially before diving in-depth into programming. No matter what the programming language it is important for students to learn Data Structures and algorithms. However, many students find challenging to write data structures homework due to complicated topics. If you are someone who is looking for help in doing the data structures homework, then seek the help of our team and ask for **Data Structures Homework Help**. We have a team of programmers who have extensive knowledge and experience in working on various data structure topics. They complete the homework and help you secure good grades in the examination.

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## What are Data Structures? Why do students study Data Structures?

A data structure enables you to store and organize data. It is the best way to arrange data on the system so that you can access and update briskly. The best thing is that the data structures are not just used for organizing data, but they can also be used to process, retrieve and store data.

There are basic as well as advanced types of data structures used in every software program being developed. The data structures are a critical part of the systems used for data arrangement in the memory. These are responsible for organizing, processing, accessing, and storing information. Every data structure has its own traits. Every piece of software will have both algorithms and data. The data will have information while algorithms will have rules as well as instructions that will take the data and turn it into programming.

Data structures will have different layouts and each layout can perform a unique operation. The programmer has to decide which data structure is ideal for the data to leverage the data and solve problems. These are a major part of algorithms that allow programmers to handle data effectively. It also plays a critical role to boost the performance of the software. Its primary function is to store and retrieve data. In an object-oriented programming language, data structure and methods are bound together to define a class. In non-object-oriented programming languages, the functions will work with data structures.

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Some of the popular topics in Data structure on which our programming assignment experts work on a daily basis are listed below:

Linear data structure | Data structures with C/C++ and Java |

Non-linear data structure | Pointers and pointer arithmetic |

Object-Oriented Design Principles | Abstract data types (ADTs) |

Arrays and lookup tables | Detailed comparison of available data structures |

Circular linked lists | Sort algorithm implementation and comparison |

Double linked lists | Search algorithms and techniques |

Priority queues | Algorithm analysis (performance, complexity) |

Binary trees and heaps | Big O notation (e.g. O(n) and O(n log n)) |

Advanced data structures | Algorithmic thinking and algorithm design |

## Concepts used in Data Structures Homework & Assignments

With the applications getting complicated and increasing in data, these are the problems that you may encounter. These problems can be solved using data structures.

**Processor speed -**If you want to handle a huge volume of data, you would need a high processing speed. With the growing data, the processor cannot deal with the huge amount of data and it ends up failing to function as expected.**Data Search -**If there are too many items in a store and the application developed must search for a particular item, it needs to search through all the items in the inventory, thus taking a toll on the search process.**Multiple requests -**If there are many users who are searching for the same data on the server, there are chances of the server failing. All these problems can be solved by organizing the data in the form of a data structure, thus allowing only the required data to be searched instead of searching all the other data.

### Types of Data Structures

Students must know data structures to thrive in their programming careers.

**Arrays -**The simple data structure used is an array, which is a collection of items in sequential order. An array will have different values and variables called elements. These will be related to the same data type and is of a fixed size. Each item in the array starts with the index 0. The array can be considered to be a weekly medication, which has tiny containers in a sequence and each container will have different elements inside. Arrays are used to build complicated data structures and are used to sort algorithms.**Linked lists -**A linked list has a series of items that are arranged in an order and all of them are linked with each other. This allows you to access the data in order so that random access to the information will not be possible. Every element in the linked list is known as a node and every node has a key as well as a pointer. The pointer which points to the next node is known as the next. The sequence will be starting from the head, which will direct you to the first element in the list, and the last element in the list is known as the tail. You can also have a single linked list that allows you to traverse every item in the direction from head to tail. The doubly linked list can be transverse both in the forward or the backward direction. You can create a circular linked list where the tail point is linked to the head of the next pointer, thus forming a circle.**Stacks -**Stack is also known as last in first out structure, which means that the element that is in the last can be accessed first with ease. You can also add a new element to the top of the stack or pop the element that is inserted last and is on the top of the stack. Stacks are best used for parsing as well as evaluating mathematical expressions. These are also good to implement function calls when comes to recursion programming.**Queues -**The queue will work like a stack, but it follows the FIFO structure. The queue is like a line of people who are waiting to get into the building. The person who stands first will get into the building first and the last person will enter last. You can enqueue by inserting an element at the end of the queue and dequeue by deleting an element from the start of the queue.**Hash tables -**In the hash table structure, each value is linked to the key to store them. It is the best way to insert and search for the data. It is also easy for you to find out a particular object from a group of similar kinds of objects. For instance, when you go to college, a unique ID will be given to you. The ID number would be the key to retrieving the student information from the record.

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## Example of A Simple Data Structures Code Written By Our Expert

**Code for:** Finding Shortest Word Ladders

**Solution:**

#include

#include

#include

#include

#include

#include

#define LETTERS 26

#define BONUS 1

using namespace std;

int cost[LETTERS][LETTERS];

void loadCosts() {

ifstream f("costmatrix.txt");

for (int i = 0; i<26; i++) {

for (int j = 0; j<26; j++) {

if (BONUS == 1) {

f >> cost[i][j];

}

else {

cost[i][j] = 1;

}

}

}

f.close();

}

void loadWords(vector &v) {

v.clear();

ifstream f("wordLadder_dictionary.txt");

string word;

while(f >> word) {

v.push_back(word);

}

f.close();

}

int distance(string w1, string w2) {

if (w1.length() != w2.length()) {

return false;

}

int counter = 0;

for (int i = 0; i if (w1[i] != w2[i]) {

if (counter > 0) {

return -1;

}

else {

if (w1[i] < 'a' || w1[i] > 'z' || w2[i] < 'a' || w2[i] > 'z') {

counter = 1;

}

else{

counter = cost[w1[i] - 'a'][w2[i] - 'a'];

}

}

}

}

return counter;

}

vector dijkstra(string from, string to, vector &words) {

priority_queue, vector>, greater>> pq;

map dist;

map parent;

pq.push(make_pair(0, from));

dist[from] = 0;

while (!pq.empty()) {

string mins = pq.top().second;

int minDist = pq.top().first;

pq.pop();

if (mins == to) {

break;

}

for (string s : words) {

int d = distance(s, mins);

if (d == -1) {

continue;

}

if ((dist.find(s) == dist.end()) || (dist[s] > minDist + d)) {

dist[s] = minDist + d;

parent[s] = mins;

pq.push(make_pair(dist[s], s));

}

}

}

vector res;

if (parent.find(to) == parent.end()) {

return res;

}

string curr = to;

while (curr != "") {

res.insert(res.begin(), curr);

curr = parent[curr];

}

return res;

}

void solvePair(string w1, string w2, vector &words) {

cout << w1 << " ----- " << w2 << "\t\t\t";

if (w1.length() != w2.length()) {

cout << "(no ladder)" << endl;

}

else {

vector res = dijkstra(w1, w2, words);

if (res.empty()) {

cout << "(no ladder)" << endl;

}

else {

cout << "(length=" << res.size() << ")" << endl;

bool first = true;

for (string s : res) {

if (first) {

first = false;

}

else {

cout << " => ";

}

cout << s;

}

cout << endl;

}

}

}

int main() {

vector dict;

vector> adj;

loadCosts();

loadWords(dict);

map> ldict;

for (int i = 0; i string w = dict[i];

ldict[w.length()].push_back(w);

}

while (true) {

string w1, w2, choice;

cout << "Start word: ";

cin >> w1;

cout << "Finish word: ";

cin >> w2;

solvePair(w1, w2, ldict[w1.length()]);

cout << "Do you want to continue? (y/n) ";

cin >> choice;

if (tolower(choice[0]) != 'y') {

break;

}

cout << endl;

}

}

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