Data structure Assignment Help
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- 3. Data Structure is a way of collecting and organising data in such a way that we can perform operations on these data in an effective way. Data Structures is about rendering data elements in terms of some relationship, for better organization and storage. These are used to store ordered data, so that various operations can be performed on it easily. It represents the knowledge of data to be organized in memory. It should be designed and implemented in such a way that it reduces the complexity and increases the efficiency.
- 5. Correctness − Data structure implementation should implement its interface correctly. Time Complexity − Running time or the execution time of operations of data structure must be as small as possible. Space Complexity − Memory usage of a data structure operation should be as little as possible.
- 6. Data Search − Consider an inventory of 1 million(106) items of a store. If the application is to search an item, it has to search an item in 1 million(106) items every time slowing down the search. As data grows, search will become slower. Processor speed − Processor speed although being very high, falls limited if the data grows to billion records. Multiple requests − As thousands of users can search data simultaneously on a web server, even the fast server fails while searching the data.
- 7. Data Definition defines a particular data with the following characteristics: Atomic − Definition should define a single concept. Traceable − Definition should be able to be mapped to some data element. Accurate − Definition should be unambiguous. Clear and Concise − Definition should be understandable. Data Object: Data Object represents an object having a data.
- 9. Those data types for which a language has built in support are known as Built-in Data types. The following are built-in data types: Integers Boolean (true, false) Floating (Decimal numbers) Character and Strings
- 10. Those data types which are implementation independent as they can be implemented in one or the other way are known as derived data types. These data types are normally built by the combination of primary or built-in data types and associated operations on them. The following are the Derived Data Types: List Array Stack Queue
- 12. Array is a container which can hold a fix number of items and these items should be of the same type. Array Representation: Arrays can be declared in various ways in different languages. The important points to be considered are: Index starts with 0. Array length is 10 which means it can store 10 elements. Each element can be accessed via its index. For example, we can fetch an element at index 6 as 9. For example:
- 14. A linked list is a sequence of data structures, which are connected together via links. Linked List is a sequence of links which contains items. Each link contains a connection to another link. Following are the important terms to understand the concept of Linked List: Link − Each link of a linked list can store a data called an element. Next − Each link of a linked list contains a link to the next link called Next. LinkedList − A Linked List contains the connection link to the first link called First.
- 16. A stack is an Abstract Data Type (ADT), commonly used in most programming languages. A real-world stack allows operations at one end only. LIFO stands for Last-in-first-out. Here, the element which is placed last, is accessed first. In stack terminology, insertion operation is called PUSH operation and removal operation is called POP operation. A stack can be implemented by means of Array, Structure, Pointer, and Linked List. Basic Operations: Push() POP() isFull() isEmpty()
- 18. Queue is an abstract data structure, somewhat similar to Stacks. Unlike stacks, a queue is open at both its ends. One end is always used to insert data (enqueue) and the other is used to remove data (dequeue). Queue follows First-In-First-Out methodology. Basic Operations: enqueue() dequeue() peek() isfull() isempty()
- 19. A graph is a pictorial representation of a set of objects where some pairs of objects are connected by links. The interconnected objects are represented by points termed as vertices, and the links that connect the vertices are called edges. Graph Structure includes: Vertex Edge Adjacency Path
- 21. Tree represents the nodes connected by edges. Binary Tree is a special datastructure used for data storage purposes. A binary tree has a special condition that each node can have a maximum of two children. A binary tree has the benefits of both an ordered array and a linked list as search is as quick as in a sorted array and insertion or deletion operation are as fast as in linked list.
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