Supplemental Material for Baldwin and Scragg, Algorithms and Data Structures: The Science of Computing; Charles River Media, 2004
Understanding of chapters 6 and 7 of Algorithms and Data Structures: The Science of Computing.
This exercise asks students to design, code, prove correct, and derive operation counts for several recursive algorithms. Correct algorithms for the problems in this lab aren’t necessarily obvious. Thinking inductively about the algorithms (i.e., assuming that recursive messages will establish their postconditions for smaller instances of a problem, analogous to assuming that smaller instances of a proposition are true in an induction hypothesis) will make them easier to design, and rigorous proofs of their correctness may well uncover flaws in the original designs.
The “Colorful Line” problem uses the robot
introduced in Chapter 2 of Algorithms and Data Structures: The Science
of Computing.
This robot is available as a Java class named Robot
(and
a supporting class named RobotRoom
). Programs that use these classes
need to include two Java files: Robot.java and RobotRoom.java. The “Final
Details” section of this document explains how to find these files
and their documentation.
Any Java source file that refers to the Robot
or RobotRoom
classes
should “import” those classes, via the statement
import geneseo.cs.sc.*;
at the beginning of the file.
The “Colorful Line” algorithm should be
coded as a method of a subclass of Robot
. This subclass may need
constructors. A constructor is basically a method that initializes a new object
(see Sections
3.4.2 and
A.4.4
of Algorithms
and Data Structures: The Science of Computing).
In Java, constructors have the same name as the class they initialize — for
example, the constructors for Robot
objects are named Robot
,
the constructors for instances of a hypothetical ExtendedRobot
subclass
of Robot
would be named ExtendedRobot
, and so forth.
Note that subclasses don’t inherit constructors from their superclass
the way they inherit other methods — for example, even if a constructor
for Robot
logically does everything necessary to initialize instances
of an ExtendedRobot
subclass, there is no way to automatically
apply this constructor to ExtendedRobot
objects.
Even though Java doesn’t do it automatically, one often wants to initialize
instances of a subclass by just calling a superclass’s constructor. This
will probably be the case for the subclass of Robot
defined in
this lab. To do this, define constructors for the subclass that do nothing
but call the corresponding superclass constructor. Within a constructor, the
word super
can be used to call a superclass constructor. For example,
to allow instances of an ExtendedRobot
subclass of Robot
to
be initialized with their position, heading, and room (just like the four-parameter
constructor for Robot
does), include the following constructor
in ExtendedRobot
:
// Within the ExtendedRobot class...
public ExtendedRobot( int column, int row, int heading, RobotRoom room ) {
super( column, row, heading, room );
}
A statement such as the following implicitly uses this constructor to initialize an extended robot:
ExtendedRobot r = new ExtendedRobot( 1, 3, Robot.NORTH, myRoom );
The “Reversing a String” exercise requires manipulating strings.
Strings in Java are objects, instances of the standard library class String
.
Some messages to strings that are likely to be particularly useful in
this exercise are described below.
(The descriptions use a convention
that is widely used in user documentation of messages: each message is introduced
by showing how it could be declared inside the class that implements it. Note
that this is not what a programmer writes in order to use
the message, rather it is a compact way to provide complete information on
the message’s
name, the number
and types of parameters, the type of result, etc. For example, the message
description “char charAt( int i )” says that there is a message
named “charAt”,
which has one parameter, that parameter is an integer, and the message returns
a character. A programmer can thus deduce that uses of this message
could look like c = obj.charAt(7)
, or System.out.println(
obj.charAt(i) )
, and so forth, where c
is
a char
variable, i
is an integer variable,
and obj
is whatever sort of object handles the charAt
message
— a String
in this particular case.)
someString
to variable count
: int count = someString.length();
someString
to variable c
: char c = someString.charAt( 1 );
someString
: String firstThree = someString.substring(0,3);
Finally, programmers can concatenate strings and other values into longer strings using the “+” operator. When applied to a string and just about any other kind of value, “+” converts the other value into a string if necessary, and concatenates that string with the “+’s” other operand. For example, the following constructs the string “aardvark” by concatenating two shorter strings:
"aard" + "vark"
The following creates the string “Sally2” by converting the integer 2 to a string and concatenating it to the string “Sally”:
"Sally" + 2
For more information about the String
class, see the Online
Java API Documentation maintained by Sun Microsystems.
For each of the following problems, design a recursive algorithm to solve the problem, code the algorithm in Java, prove that the algorithm is correct, and finally derive an expression for the number of operations the algorithm executes. Each exercise includes precise instructions concerning what kinds of operations to count, and what parameter to express the count in terms of.
Think about the proof while designing each algorithm, not afterwards. For example, while designing an algorithm’s base case, think about why that code correctly solves the smallest instance of the problem; while designing the recursive case, think about why, if recursive messages correctly solve smaller problems, the recursive case correctly solves a larger problem. Such concurrent design and proof greatly increases the chances of designing a correct algorithm on the first try, and generally makes the algorithms easier to develop.
Design, code, and prove correct a recursive algorithm that has one integer parameter, n, and that causes a robot to draw a line of length 2n + 1 in which the first (i.e., closest to the robot's initial position) n tiles are blue, the middle tile is yellow, and the last n tiles are red. You may assume as a precondition that there are no obstacles on the tiles the line will occupy.
When you are satisfied that your algorithm is correct, derive an expression
for the total number of Robot
messages it sends (i.e., move
,
turnLeft
, turnRight
, paint
, okToMove
, colorOfTile
,
and heading
messages), in terms of n.
As an example of what the algorithm should produce, here is a colorful line with n = 2. The robot started where the bottom blue tile is, and ended (as shown) on the top red one:
Adopt (and state as comments in the algorithm) additional preconditions and postconditions regarding where the robot will stand, and how it will face, relative to the line. These will be helpful in designing the code around the recursive message(s).
Design, code, and prove correct a recursive algorithm that takes a string as its parameter, and that returns the reversal of the string (i.e., the string written backwards). More formally, the algorithm’s main postcondition is that if the input is an n-character string, c1c2…cn-1cn, then the output is the string cncn-1…c2c1. For example, reversing “abcd” yields “dcba”.
When you are satisfied that your algorithm is correct, derive an expression
for the number of String
operations (i.e., length
, charAt
,
and substring
messages, and string concatenation operations) that the algorithm
executes, as a function
of n (the length of the string).
Information on Java Strings and some messages to them that are likely to be useful in this exercise appears in the “Background” section of this document.
Code this algorithm as a static method of the main class.
Students can download both Robot.java and RobotRoom.java from the Web.
Documentation on both classes is also available on the Web. The main documentation page is an index to documentation for all the Java classes written for use with Algorithms and Data Structures: The Science of Computing. To see the documentation for a specific class, click on that class’s name in the left-hand panel of the page.
This lab is due at the start of your lab session on Monday, October 18 (but it will be a very good idea to complete most of the work for this lab before the exam on October 7). Turn in printouts of the code you write, the correctness proofs and derivations of the operation counts, and the discussion of conclusions described below. The proofs, derivations, and conclusions can be in comments in the code, or on a separate piece of paper.
In addition to the code and analyses, write a brief (roughly one paragraph) discussion of the conclusions you can reach about the algorithms from the theoretical correctness and performance analyses. Here are some questions to think about, which might help you find some interesting conclusions to write about (you do not necessarily have to answer each, or even any, of these questions in your discussion — they are simply representative of the kinds of issues I want you to think about): Did you test your algorithms after coding them, or simply rely on the correctness proofs to tell you they would work? If you tested in addition to doing the proofs, why? In what, if any, ways did the correctness proofs or performance analyses help you design the algorithms? Do the results of the performance analyses let you compare the performance of the two algorithms? If so, in what ways? In what ways do the analyses not help you compare the algorithms’ performance?
Portions copyright © 2004. Charles River Media. All rights reserved.
Revised Sep. 29, 2004