13.2.1 Creating algorithms

Cards (135)

  • Why is defining the problem clearly crucial in problem-solving?
    Ensures focused and accurate solutions
  • An ambiguous problem statement can lead to incorrect solutions.
  • A clarified problem statement specifies the data type, sorting order, and algorithm
  • What are the six aspects involved in clear problem definition?
    What, who, where, when, why, how
  • A well-defined problem statement prevents misunderstandings.
  • In problem-solving, inputs are the data or information provided to a program, and outputs are the results
  • Match the input type with its description:
    User Input ↔️ Data provided directly by the user
    Data Files ↔️ Data read from external files
    Sensors ↔️ Data collected from physical sensors
    API ↔️ Data retrieved from external services
  • Arrange the steps in understanding inputs and outputs:
    1️⃣ Identify input types
    2️⃣ Determine output types
    3️⃣ Analyze data flow
  • In the example program to calculate the area of a rectangle, the inputs are the length and width
  • Why is understanding inputs and outputs essential for algorithm design?
    Ensures accurate program behavior
  • Breaking a problem into subproblems improves coding organization.
  • Breaking a problem into subproblems makes the overall complexity lower
  • What are the four subproblems in designing a library management application?
    Book, member, borrowing, reporting
  • Combining subproblems simplifies the design process.
  • What is displayed on the screen when using the "Display" output type?
    Results
  • Actuators send signals to control devices
  • APIs are used to send data to external services.
  • What is the formula to calculate the area of a rectangle?
    area = length * width</latex>
  • In the example program, the inputs are the length and width
  • Steps to break a complex problem into subproblems:
    1️⃣ Identify the main problem
    2️⃣ Divide the problem into smaller tasks
    3️⃣ Prioritize subproblems
    4️⃣ Solve each subproblem individually
    5️⃣ Combine solutions to solve the original problem
  • Breaking a complex problem into subproblems increases its complexity.
    False
  • Breaking a complex problem into subproblems streamlines collaboration
  • Match the subproblems with their descriptions in the library management application:
    Book Management ↔️ Adding, deleting, updating books
    Member Management ↔️ Registering, deleting, updating members
    Borrowing ↔️ Lending and returning books
    Reporting ↔️ Generating reports on book usage
  • Steps to follow a logical approach to solve a subproblem:
    1️⃣ Understand the goals and requirements
    2️⃣ Develop a step-by-step plan
    3️⃣ Translate the plan into code
    4️⃣ Ensure the code works correctly through testing
    5️⃣ Review the process and identify improvements
  • The area of a rectangle is calculated by multiplying its length and width
  • What is the primary factor for choosing the appropriate data structure?
    Efficiency
  • Match the data structure with its property:
    Arrays ↔️ Fixed size, fast access
    Linked Lists ↔️ Dynamic size, slow access
    Stacks ↔️ LIFO, limited access
    Queues ↔️ FIFO, limited access
  • Stacks use a FIFO principle for data storage.
    False
  • Hash tables provide fast lookups using key-value pairs
  • What is the purpose of defining a problem statement clearly?
    Addresses goals and constraints
  • Understanding inputs and outputs is essential for designing effective algorithms
  • Why is a well-defined problem statement important in problem-solving?
    Ensures solution addresses goals
  • One key element of a problem statement is understanding the objectives
  • What are inputs and outputs in problem-solving?
    Inputs are data, outputs are results
  • Constraints in a problem statement define limitations on possible solutions
  • A clear objective in a problem statement should be specific and measurable
  • What does it mean for inputs and outputs to be precisely defined in a problem statement?
    They are unambiguous
  • Missing constraints in a problem statement can lead to unclear solutions
  • What is an example of an unclear problem statement for sorting an array?
    "Sort the list"
  • A clear problem statement for sorting an array of integers would specify the data type, sorting order, and algorithm