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Going further

Going further. Enumerated types Recursion Collections. Enumerated Types. Java allows you to define an enumerated type, which has the set of possible values specified in the definition. The values are identifiers of your own choosing

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Going further

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  1. Going further • Enumerated types • Recursion • Collections

  2. Enumerated Types • Java allows you to define an enumerated type, which has the set of possible values specified in the definition. • The values are identifiers of your own choosing • The following declaration creates an enumerated type called Season enum Season {winter, spring, summer, fall}; • Any number of values can be listed

  3. Enumerated Types • Once a type is defined, a variable of that type can be declared Season time; and it can be assigned a value time = Season.fall; • Enumerated types are type-safe – you cannot assign any value other than those listed

  4. Ordinal Values • Each value of an enumerated type has an integer associated with it, called its ordinal value • The first value in an enumerated type has an ordinal value of zero, the second one, and so on • You cannot assign a numeric value to an enumerated type, even if it corresponds to a valid ordinal value

  5. Enumerated Types • Each variable of an enumerated type is an object • Enumerated typs have several methods • The ordinal method returns the ordinal value of the object • The name method returns the name of the identifier corresponding to the object's value • See IceCream.java

  6. Enumerated Types • An enumerated type definition can be more interesting than a simple list of values • Because they are like classes, we can add additional instance data and methods • We can define an enum constructor as well • Each value listed for the enumerated type calls the constructor • See Season.java • See SeasonTester.java

  7. Enumerated Types • Every enumerated type contains a static method called values that returns a list of all possible values for that type • The list returned from values is iterable, so a for loop can be used to process them easily • An enumerated type cannot be instantiated outside of its own definition • A carefully designed enumerated type provides a versatile and type-safe mechanism for managing data

  8. Recursion

  9. Recursion • Recursion is a fundamental programming technique that can provide an elegant solution certain kinds of problems • A recursive definition is one which uses the word or concept being defined in the definition itself • a recursive definition of an English word is often not helpful • In math and computer science, a recursive definition can be an appropriate way to express a concept

  10. Recursive Definitions • Consider the following list of numbers: 24, 88, 40, 37 • Such a list can be defined as follows: A LIST is a: number or a: number comma LIST • That is, a LIST is defined to be a single number, or a number followed by a comma followed by a LIST • The concept of a LIST is used to define itself

  11. Recursive Definitions • The recursive part of the LIST definition is used several times, terminating with the non-recursive part: number comma LIST 24 , 88, 40, 37 number comma LIST 88 , 40, 37 number comma LIST 40 , 37 number 37

  12. Infinite Recursion • All recursive definitions have to have a non-recursive part • If they didn't, there would be no way to terminate the recursive path • Such a definition would cause infinite recursion • This problem is similar to an infinite loop, but the non-terminating "loop" is part of the definition itself • The non-recursive part is often called the base case

  13. Recursive Definitions • N!, for any positive integer N, is defined to be the product of all integers between 1 and N inclusive • This definition can be expressed recursively as: 1! = 1 N! = N * (N-1)! • A factorial is defined in terms of another factorial • Eventually, the base case of 1! is reached

  14. 120 24 6 2 Recursive Definitions 5! 5 * 4! 4 * 3! 3 * 2! 2 * 1! 1

  15. Recursive Programming • A method in Java can invoke itself; if set up that way, it is called a recursive method • The code of a recursive method must be structured to handle both the base case and the recursive case • Each call to the method sets up a new execution environment, with new parameters and local variables • As with any method call, when the method completes, control returns to the method that invoked it (which may be an earlier invocation of itself) • See Factorial.java

  16. Recursive Programming • Note that just because we can use recursion to solve a problem, doesn't mean we should • For instance, we usually would not use recursion to solve the sum of 1 to N problem, because the iterative version is easier to understand • However, for some problems, recursion provides an elegant solution, often cleaner than an iterative version • You must carefully decide whether recursion is the correct technique for any problem

  17. Recursive Directory Listing • Suppose you want to list all the files in a directory including files in any subdirectories that might be present. • Algorithm for each entry in the current directory if it is a file, print its name else // must be a directory do recursive call on the entry

  18. Towers of Hanoi • The Towers of Hanoi is a puzzle made up of three vertical pegs and several disks that slide on the pegs • The disks are of varying size, initially placed on one peg with the largest disk on the bottom with increasingly smaller ones on top • The goal is to move all of the disks from one peg to another under the following rules: • We can move only one disk at a time • We cannot move a larger disk on top of a smaller one

  19. Original Configuration Move 1 Move 2 Move 3 Towers of Hanoi

  20. Move 4 Move 5 Move 6 Move 7 (done) Towers of Hanoi

  21. Towers of Hanoi • An iterative solution to the Towers of Hanoi is quite complex • A recursive solution is much shorter and more elegant • See SolveTowers.java • See TowersOfHanoi.java

  22. Fractals • A fractal is a geometric shape made up of the same pattern repeated in different sizes and orientations • The Koch Snowflake is a particular fractal that begins with an equilateral triangle • To get a higher order of the fractal, the sides of the triangle are replaced with angled line segments • See KochSnowflake.java • See KochPanel.java

  23. < x5, y5> < x5, y5> < x4, y4> < x3, y3> < x2, y2> < x1, y1> < x1, y1> Koch Snowflakes Becomes

  24. Other Examples of Recursion • Recursive sort algorithms • Recursive data structures • Chapter 12 • COMPSCI 225

  25. Collections

  26. Collections • A collection is an object that serves as a repository for other objects • A collection usually provides services such as adding, removing, and otherwise managing the elements it contains • Sometimes the elements in a collection are ordered, sometimes they are not • Sometimes collections are homogeneous, containing all the same type of objects, and sometimes they are heterogeneous

  27. Dynamic Structures • A static data structure has a fixed size • This meaning is different from the meaning of the static modifier • Arrays are static; once you define the number of elements it can hold, the size doesn’t change • A dynamicdata structure grows and shrinks at execution time as required by its contents • A dynamic data structure is implemented using links

  28. student John Smith 40725 3.58 Object References • Recall that an object reference is a variable that stores the address of an object • A reference also can be called a pointer • References often are depicted graphically:

  29. John Smith 40725 3.57 Jane Jones 58821 3.72 References as Links • Object references can be used to create links between objects • Suppose a Student class contains a reference to another Student object

  30. studentList References as Links • References can be used to create a variety of linked structures, such as a linked list:

  31. dequeue enqueue Queues • A queue is similar to a list but adds items only to the rear of the list and removes them only from the front • It is called a FIFO data structure: First-In, First-Out • Analogy: a line of people at a bank teller’s window

  32. push pop Stacks Stacks often are drawn vertically: • A stack ADT is also a linear data structure • Items are added and removed from only one end of a stack • It is therefore LIFO: Last-In, First-Out • Example: a stack of plates in a cupboard, a stack of hay bales in a barn

  33. Trees • A tree is a non-linear data structure that consists of a root node and potentially many levels of additional nodes that form a hierarchy • In a general tree, each node can have many child nodes • We often work with binary trees which have no more than two children per node

  34. Binary Trees • In a binary tree, each node can have no more than two child nodes • A binary tree can be defined recursively. Either it is empty (the base case) or it consists of a root and two subtrees, each of which is a binary tree • Trees are typically are represented using references as dynamic links, though it is possible to use fixed representations like arrays • For binary trees, this requires storing only two links per node to the left and right child

  35. Graphs • A graph is a non-linear structure • Unlike a tree or binary tree, a graph does not have a root • Any node in a graph can be connected to any other node by an edge • Analogy: the highway system connecting cities on a map

  36. The Java Collections API

  37. Collection Classes • The Java standard library contains several classes that represent collections, often referred to as the Java Collections API • Their underlying implementation is implied in the class names such as ArrayList and LinkedList • Several interfaces are used to define operations on the collections, such as List, Set, SortedSet, Map, and SortedMap

  38. Generics • As mentioned in Chapter 7, Java supports generic types, which are useful when defining collections • A class can be defined to operate on a generic data type which is specified when the class is instantiated: LinkedList<Book> myList = new LinkedList<Book>(); • By specifying the type stored in a collection, only objects of that type can be added to it • Furthermore, when an object is removed, its type is already established

  39. Beyond java

  40. Other Languages • There are a number of other languages with a syntax very similar to that of Java • Java's syntax is based on that of C which is not object-oriented • C++ was designed to be backwards-compatible with C • C# was based on C/C++ without the backwards-compatibility • Many of the scripting languages started from C's syntax • JavaScript is a scripting language that is used inside web pages • It is not related to Java

  41. Other Languages: C# • Like Java, C# is • A modern, general-purpose object-oriented language • Based on C and C++ • C# is part of the .NET family of languages supported by MicroSoft • Multiple languages which can interoperate • Languages compile to a common intermediate language • Common Language Runtime runs programs from all the .NET languages

  42. C# Program Structure • A program consists of one or more files • A file can contain one or more classes and/or namespaces • name of file is not tied to name of class • At least one class must contain Main • There are several allowed signatures • return type is either int or void • either no parameter or String array

  43. First Program namespace FirstProgram { class First { static void Main() { System.Console.WriteLine( "Welcome to C#!"); } } }

  44. Console I/O • System.Console.WriteLine( arg) • argument can be any type • for objects, ToString is invoked • System.Console.ReadLine() • returns a String • System is a namespace • using System; allows you to omit the namespace when calling the method

  45. C# Types • Value types • simple types: primitive types from Java plus unsigned types and decimal • Reference types - objects

  46. Operators • Has same operators as Java with similar precedence and associativity • == compares values for strings and simple types, addresses for all other objects

  47. C# on onyx • mono is an open-source project that provides facilities for running C# programs under Linux • http://www.mono-project.com • Compile a program by typing • mcs First.cs • Run a program by typing • mono First.exe

  48. C# using VMWare • There is a Windows virtual machine on the onyx workstations • vmware & • C# Express is installed on the virtual machine • You can download the .NET development environment to your own Windows machine for free using your MSDN account

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