Lesson 21: Comparing and Evaluating Algorithms

When comparing and evaluating algorithms, which factors should be considered?

• Color and size

• Speed and simplicity

• Shape and texture

• Sound and taste

What does "speed" refer to when evaluating algorithms?

• How quickly the algorithm completes the task

• How colorful the algorithm is

• How many steps the algorithm has

• How complicated the algorithm is

What does "simplicity" refer to when evaluating algorithms?

• How colorful the algorithm is

• How quickly the algorithm completes the task

• How easy it is to understand and implement the algorithm

• How many steps the algorithm has

Which algorithm is considered the best?

• The one with the most steps

• The one with the most colorful visuals

• The one that completes the task slowly

• The one that completes the task quickly and is easy to follow

What is an algorithm?

• A step-by-step method to solve a problem

• A type of computer

• A complex mathematical equation

• A type of flowchart

Why do we need to compare and evaluate different solutions to the same problem?

• To make the problem more complicated

• To choose the most inefficient solution

• To find the most suitable and efficient solution

• To avoid solving the problem altogether

How can evaluating algorithms improve problem solving?

• By ignoring others possible solutions

• By focusing only on quickest solutions

• By providing a better understanding of different approaches

• By increasing the complexity of the problem

What is the primary goal when comparing algorithms?

• To find the algorithm with the most steps

• To choose the most colorful algorithm

• To select the algorithm that takes the longest to complete

• To find the most effective and efficient algorithm for a specific task

Which of the following is NOT a factor considered when evaluating algorithms?

• Speed

• Simplicity

• Complexity

• Effectiveness

What is the main goal when comparing algorithms?

• To find the most complex one

• To choose the one with the most steps

• To select the slowest algorithm

• To choose the best algorithm for the task