Data Structures and Abstract Data Types Quiz

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Questions and Answers

What type of data structure allows for the first element added to be the first one retrieved?

  • Linked List
  • Priority Queue
  • Queue (correct)
  • Stack

Which of the following best describes a stack?

  • Hierarchical data structure
  • First-In, First-Out structure
  • Non-linear data structure
  • Last-In, First-Out structure (correct)

What algorithm design paradigm involves breaking a larger problem into smaller subproblems?

  • Greedy Algorithms
  • Dynamic Programming
  • Divide and Conquer (correct)
  • Iteration

Which data structure contains unique elements and does not allow for duplicates?

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

What is the principle behind dynamic programming?

<p>Reusing results of overlapping subproblems (D)</p> Signup and view all the answers

In terms of a priority queue, which statement is true?

<p>Elements are processed based on their inherent order or priority (A)</p> Signup and view all the answers

Which operation is fundamental in recursion?

<p>A function calling itself (A)</p> Signup and view all the answers

Which algorithm design approach reuses results of previously solved overlapping subproblems?

<p>Dynamic Programming (C)</p> Signup and view all the answers

What are the four main operations defined for each Abstract Data Type (ADT)?

<p>Initializing, adding, accessing, removing (A)</p> Signup and view all the answers

Which of the following characteristics must an algorithm possess?

<p>Definiteness: each instruction must be clear and unambiguous (B)</p> Signup and view all the answers

What distinguishes a linear data structure from a non-linear data structure?

<p>Elements in linear structures are accessed sequentially. (B)</p> Signup and view all the answers

Which statement about Abstract Data Types (ADTs) is true?

<p>The implementation of an ADT can be changed without impacting its program usage. (D)</p> Signup and view all the answers

What does 'finiteness' refer to in the characteristics of an algorithm?

<p>The algorithm must terminate after a specific number of steps. (C)</p> Signup and view all the answers

In an algorithm, what is meant by 'input'?

<p>Zero or more well-defined data that must be provided before it starts. (B)</p> Signup and view all the answers

Which of the following best describes a graph in data structures?

<p>A set of vertices and edges representing relationships. (C)</p> Signup and view all the answers

What is the primary benefit of using Abstract Data Types (ADTs)?

<p>Their implementation can be modified without altering the programs using them. (B)</p> Signup and view all the answers

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Study Notes

Data Structures

  • A data structure is a specialized format for organizing and storing data.
  • Key components of data structures include keys (identifiers) and values (content).
  • Types of data structures:
    • Linear: Elements accessed sequentially but may not be stored systematically.
    • Non-Linear: Elements accessed in a non-sequential manner.

Abstract Data Types (ADT)

  • An ADT provides a logical description of data and allowable operations without implementation details.
  • Benefits of ADTs:
    • Implementation can change without impacting the program utilizing the ADTs.
    • Facilitates reuse in future programming endeavors.
  • Two parts of an ADT:
    • Public (external): The accessible data and operations.
    • Private (internal): The data representation and implementation.

Operations and Characteristics

  • Main operations for each ADT include initializing, adding, accessing, and removing data.
  • Characteristics of an algorithm:
    • Finiteness: Must terminate after a defined number of steps.
    • Definiteness: Instructions must be clear and unambiguous.
    • Input: Requires zero or more defined data inputs.
    • Output: Must yield one or more results related to the input.
    • Uniqueness: Every step’s outcome depends on the input or previous results.

Elements of an Algorithm

  • Sequential operations: Steps follow one another in order.
  • Actions dependent on data structure states.
  • Iteration: Repeating an action multiple times.
  • Recursion: A function that calls itself to solve problems.

Algorithm Design Paradigms

  • Divide and Conquer: Breaks problems into smaller subproblems.
  • Greedy Algorithms: Selects the optimal local solution at each step.
  • Dynamic Programming: Reuses results of overlapping subproblems, similar to Divide and Conquer.

Types of Data Structures

  • Linked List: Stores elements as separate objects.
  • Stack: Last element added is the first retrieved (Last-In, First-Out).
  • Queue: First element added is the first retrieved (First-In, First-Out).
  • Tree: Hierarchical structure represented graphically.
  • Priority Queue: Processes elements based on a defined order (natural or custom).
  • Heap: A complete binary tree where parent nodes have higher or lower values than child nodes.
  • Set: Collection of unique elements.

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