Basic Data Structures in C
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Questions and Answers

What characteristic defines the structure of a queue?

  • Last-in, first-out (LIFO)
  • Hierarchical with parent-child relationships
  • Unordered collection of elements
  • First-in, first-out (FIFO) (correct)
  • Which operation is not typically associated with a stack?

  • Push
  • Peek
  • Pop
  • Enqueue (correct)
  • How do hash tables store data for quick retrieval?

  • By using a linear search
  • By maintaining a binary search tree structure
  • By storing data in a strictly ordered list
  • By using hashing to convert keys to indices (correct)
  • What is a key feature of tree data structures?

    <p>They can have multiple children per node</p> Signup and view all the answers

    Which statement best describes graphs?

    <p>They consist of nodes and edges connecting them</p> Signup and view all the answers

    What is a fixed characteristic of arrays in C?

    <p>Size of an array is determined at compile time.</p> Signup and view all the answers

    What is the primary purpose of structs in C?

    <p>To group variables of potentially different data types.</p> Signup and view all the answers

    Which function is used to dynamically allocate memory for an array in C?

    <p>malloc()</p> Signup and view all the answers

    How do pointers enhance memory management in C?

    <p>They enable dynamic referencing of data in memory.</p> Signup and view all the answers

    What structure allows insertion and deletion of elements without shifting others?

    <p>Linked Lists</p> Signup and view all the answers

    Which of the following correctly describes a stack?

    <p>Last-in, first-out (LIFO) structure.</p> Signup and view all the answers

    What is a common use of the free() function in C?

    <p>To prevent memory leaks by deallocating memory.</p> Signup and view all the answers

    Which array declaration is correctly defined in C?

    <p>int numbers[5] = {1, 2, 3, 4, 5};</p> Signup and view all the answers

    Study Notes

    Basic Data Structures

    • C provides fundamental data structures for organizing and manipulating data.
    • These structures help in efficient storage, retrieval, and manipulation of information.
    • Common basic data structures in C include arrays, structs, and pointers.
    • Arrays are used to store a collection of elements of the same data type, accessed using an index.
    • Structs allow grouping of variables of different data types under a single name.
    • Pointers hold memory addresses, enabling indirect referencing and dynamic memory allocation.

    Arrays

    • Arrays are contiguous blocks of memory.
    • Elements are stored sequentially.
    • Accessing elements is achieved using an index, making it fast to retrieve an element at a known position.
    • Size of an array is fixed at compile time.
    • Example: int numbers[5] = {1, 2, 3, 4, 5}; defines an array 'numbers' with 5 integer elements.

    Structs

    • Structs group together variables of potentially different data types.
    • Offer a way to bundle related data.
    • Structs enhance code organization and reusability.
    • Example: struct student {char name[50]; int age; float gpa; }; defines a struct named 'student', containing name, age, and gpa.

    Pointers

    • Pointers store memory addresses.
    • Used to manipulate data indirectly.
    • Allow dynamic memory allocation.
    • Can be used to pass parameters that can be modified by the function.
    • Example: int *ptr; ptr = &age; assigns the address of variable age to the pointer ptr.

    Dynamic Memory Allocation

    • malloc(), calloc(), and realloc() are functions for dynamic memory management.
    • Enables allocating memory during runtime.
    • Crucial for handling data whose size isn't known beforehand.
    • malloc() allocates memory and returns a pointer.
    • calloc() initializes memory to 0 after allocation.
    • realloc() changes the size of previously allocated memory.
    • Example: int *arr = (int*) malloc(5 * sizeof(int)); allocates memory for 5 integers.
    • Important to free() allocated memory to prevent memory leaks.

    Linked Lists

    • Linked lists are dynamic data structures.
    • Each element (node) in the list contains: The data and a pointer to the next node.
    • Concatenated elements form a series.
    • Support insertion and deletion of elements at any position without requiring shifting to other elements.
    • Easier to insert or delete elements in a list than in an array.

    Stacks

    • Stacks are last-in, first-out (LIFO) data structures.
    • Elements are added and removed from the top of the stack.
    • Common in function calls, expression evaluation, backtracking algorithms.
    • Functions like push (add to top) and pop (remove from top) operate on a stack.

    Queues

    • Queues are first-in, first-out (FIFO) data structures.
    • Elements are added at the rear (enqueue) and removed from the front (dequeue).
    • Used in tasks where things need to be processed in the order they arrive.
    • Implemented using arrays or linked lists.

    Trees

    • Trees are hierarchical data structures.
    • Each node can have multiple children.
    • Root node is the top of the hierarchy.
    • Used for representing hierarchical data, like file systems or organizational charts.

    Graphs

    • Graphs consist of nodes (vertices) and edges connecting them.
    • Represent relationships between objects.
    • Commonly used in social networks, road maps, and other networking scenarios.
    • Can be directed or undirected.

    Hash Tables

    • Hash tables use hashing to store key-value pairs.
    • Hashing converts keys into indices for faster retrieval.
    • Used for fast lookups but performance depends on the hash function quality.
    • Can handle collisions effectively to maintain efficient lookups if necessary, potentially by using chaining
    • Hash table structure often involves arrays or linked lists.

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    Description

    This quiz covers the fundamental data structures in C programming, including arrays, structs, and pointers. You'll learn about efficient methods for organizing and manipulating data, as well as accessing elements using indexes. Test your understanding of these key concepts and enhance your coding skills.

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