Introduction to Java Programming and Data Structures: Brief Version (11th Global Edition)
Introduction to Java Programming and Data Structures: Brief Version (11th Global Edition)
11th Edition
ISBN: 9780134671710
Author: Y. Daniel Liang
Publisher: PEARSON
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Chapter 19, Problem 19.2PE
Program Plan Intro

Implement “GenericStack” using inheritance

Program Plan:

  • Include appropriate package “import java.util.Scanner” into program.
  • Define the class named “Exercise19_02”.
    • Define main method.
      • Define the object “obj” for “GenericStack<String>” class.
      • Assign the object for “Scanner” class.
      • Prompt the user and get the strings from user and push the values into stack using “for” loop.
      • Using “for” loop, print array elements in reverse order.
    • Define the class “GenericStack<E>” which extends the “ArrayList<E>” class.
      • Define the Boolean method “isEmpty()” which returns empty value.
      • Define the Integer method “getSize()” which returns size of the stack.
      • Define the method “peek()” which returns top element from the stack.
      • Define the method “pop()” which returns stack elements.
      • Define the method “push()” which inserts the values into stack.
      • Define the method “search()” which searches the index position of the stack.
      • Define the method “toString()” which prints the stack elements.

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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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