Python Programming: An Introduction to Computer Science
Python Programming: An Introduction to Computer Science
3rd Edition
ISBN: 9781590282779
Author: John Zelle
Publisher: Franklin Beedle & Associates
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Chapter 10, Problem 1PE
Program Plan Intro

Cannonball Simulation

Program Plan:

  • Import the class “Projectile”
  • Define the method “getInputs()”.
    • Get the angles, velocity, initial height and time interval from the user.
    • Return the values.
  • Declare a main function. Inside the main function,
    • Call the method “getInputs()”.
    • Pass the parameter to the constructor.
    • Assign “maxY” to “0”.
    • Check whether the “cball.getY() ” is greater than “0”.
      • Call the method “update()”.
        • Check whether the “cball.getY()” is greater than “maxY”.
          • Call the method “getY()”.
        • Print the result
  • Call the main function.

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a) first player is the minimizing player. What move should be chosen?b) What nodes would not need to be examined using the alpha-beta pruning procedure?
Consider the problem of finding a path in the grid shown below from the position S to theposition G. The agent can move on the grid horizontally and vertically, one square at atime (each step has a cost of one). No step may be made into a forbidden crossed area. Inthe case of ties, break it using up, left, right, and down.(a) Draw the search tree in a greedy search. Manhattan distance should be used as theheuristic function. That is, h(n) for any node n is the Manhattan distance from nto G. The Manhattan distance between two points is the distance in the x-directionplus the distance in the y-direction. It corresponds to the distance traveled along citystreets arranged in a grid. For example, the Manhattan distance between G and S is4. What is the path that is found by the greedy search?(b) Draw the search tree in an A∗search. Manhattan distance should be used as the
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