Dynamic Data Structures: Stacks and Queues
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Questions and Answers

What is a key difference between fixed-length records and variable-length records?

  • Fixed-length records contain different data items, while variable-length records contain the same data items.
  • Fixed-length records have the same amount of space assigned to each data item, while variable-length records may contain different lengths. (correct)
  • Fixed-length records have variable lengths, while variable-length records have a fixed length.
  • Fixed-length records have a minimum and maximum length, while variable-length records have a constant length.
  • Which type of data structure includes basic data types such as integer, real, character, and Boolean?

  • Dynamic data structures
  • Primitive data structures (correct)
  • Array data structure
  • Stack data structure
  • What is the main characteristic of an integer data type?

  • Integers can only be negative numbers.
  • Integers can only be positive numbers.
  • Integers can only be zero.
  • Integers can be whole numbers that are positive, negative, or zero. (correct)
  • Which step is NOT part of the study of complex data structures?

    <p>Visual representation of the structure using diagrams</p> Signup and view all the answers

    Which statement best describes the float data type?

    <p>Float represents decimal or floating-point numbers.</p> Signup and view all the answers

    What is the minimum requirement for variable-length records in terms of length?

    <p>Variable-length records have a minimum and a maximum length.</p> Signup and view all the answers

    What is a characteristic of static data structures?

    <p>They have a fixed size and structure at runtime.</p> Signup and view all the answers

    Which type of data structure arranges data linearly and has elements directly linked to their neighbors?

    <p>Linear data structure</p> Signup and view all the answers

    What defines an array data structure?

    <p>Elements referenced by a set of consecutive numbers</p> Signup and view all the answers

    In terms of structure, what is a key feature of dynamic data structures?

    <p>Can be modified or resized during runtime</p> Signup and view all the answers

    Which of the following best describes the nature of a stack data structure?

    <p>Elements are accessed in a last-in-first-out (LIFO) manner.</p> Signup and view all the answers

    What distinguishes a queue data structure from other linear structures?

    <p>Accessed in FIFO order</p> Signup and view all the answers

    What is a key characteristic of dynamic data structures?

    <p>Size can be changed at runtime</p> Signup and view all the answers

    Which data structure uses the FIFO approach for accessing elements?

    <p>Queue</p> Signup and view all the answers

    What is the key difference between linear and non-linear data structures?

    <p>Sequential arrangement of data elements</p> Signup and view all the answers

    Which data structure represents a linear, ordered sequence of elements?

    <p>Stack</p> Signup and view all the answers

    In what order are elements accessed in a queue?

    <p>First In First Out (FIFO)</p> Signup and view all the answers

    What characteristic makes non-linear data structures more challenging to implement?

    <p>Not being able to traverse all elements in a single run</p> Signup and view all the answers

    Study Notes

    Fixed-Length and Variable-Length Records

    • Fixed-length records contain the same data items with the same amount of space assigned to each data item.
    • Variable-length records may contain different lengths, with a minimum and a maximum length, such as student records with variable courses.

    Classification of Data Structures

    • Data structures are classified into Primitive and Non-Primitive data structures.

    Primitive Data Structures

    • Primitive data structures are fundamental data types supported by a programming language.
    • Examples of Primitive data structures:
      • Integer: a whole number that can be +ve, -ve, or zero.
      • Float: a data type representing a floating-point or decimal number.
      • Real: a data type used to represent an approximation of a real number.
      • Character: stores character data type with fixed or variable length.
      • Boolean: a data type that has one of two possible values (true and false).

    Non-Primitive Data Structures

    • Non-primitive data structures are created using primitive data structures.
    • Non-primitive data structures are divided into Linear and Non-Linear data structures.

    Linear Data Structures

    • A type of data structure where the arrangement of data follows a linear trend.
    • Data elements are arranged linearly, with each element directly linked to its previous and next elements.
    • Linear data structures are classified into Static and Dynamic data structures.

    Static Data Structures

    • Have a fixed size and structure at compile time.
    • Cannot be modified or resized during runtime.
    • Examples: arrays.

    Dynamic Data Structures

    • Size of the structure can be changed at runtime.
    • Examples: linked lists, stacks, queues, and trees.

    Examples of Linear Data Structures

    • Stack: a linear data structure that holds a linear, ordered sequence of elements.
    • Queue: a linear data structure that stores elements sequentially, using the FIFO (First In First Out) approach.
    • Linked list: a linear collection of data elements whose order is not given by their physical placement in memory.

    Non-Linear Data Structures

    • A form of data structure where data elements don't stay arranged linearly or sequentially.
    • Does not involve a single level, making it harder to implement than linear data structures.
    • Utilization of computer memory is more efficient in this case.
    • Examples: graphs and trees.

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    Description

    Explore dynamic data structures like linked lists, stacks, queues, and trees. Learn about the properties of stacks and queues as linear data structures for organizing elements sequentially.

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