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Linked Data Structures
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NODES AND LINKED LISTS 691 Nodes 691 Linked Lists 696 Inserting a Node at the Head of a List 698 Pitfall: Losing Nodes 700 Inserting and Removing Nodes Inside a List 702 Pitfall: Using the Assignment Operator with Dynamic Data Structures 706 Searching a Linked List 706 Example: Template Version of Linked List Tools 711 LINKED LIST APPLICATIONS 715 Example: A Stack Template Class 715 Example: A Queue Template Class 722 Tip: A Comment on Namespaces 725 Friend Classes and Similar Alternatives 726 ITERATORS 729 Pointers as Iterators 729 Iterator Classes 730 Example: An Iterator Class 731
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174 TREES 738 Tree Properties 739 Example: A Tree Template Class 742
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CHAPTER SUMMARY 747 ANSWERS TO SELF-TEST EXERCISES 747 PROGRAMMING PROJECTS 754
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Linked Data Structures
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If somebody there chanced to be Who loved me in a manner true My heart would point him out to me And I would point him out to you
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INTRODUCTION
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A linked list is a list constructed using pointers A linked list is not xed in size but can grow and shrink while your program is running A tree is another kind of data structure constructed using pointers This chapter introduces the use of pointers for building such data structures The Standard Template Library (STL) has prede ned versions of these and other similar data structures The STL is covered in 19 It often makes more sense to use the prede ned data structures in the STL rather than de ning your own data structures However, there are cases where you need to de ne your own data structures using pointers (Somebody had to de ne the STL) Also, this material will give you some insight into how the STL might have been de ned and will introduce you to some basic widely used material Linked data structures create their structures using dynamic variables, created with the new operator, and pointers to connect these variables This gives you complete control over how you build and manage your data structures, including how you manage memory This allows you to sometimes do things more ef ciently For example, it is easier and faster to insert a value into a sorted linked list than into a sorted array There are basically three ways to handle data structures of the kind discussed in this chapter: 1 The C-style approach of using global functions and structs with everything public 2 Using classes with all member variables private and using accessor and mutator functions 3 Using friend classes (or something similar, such as private or protected inheritance or locally de ned classes) We give examples of all three methods We introduce linked lists using method 1 We then present more details about basic linked lists and introduce both the stack and queue data structures using method 2 We give an alternate de nition of our queue template class using friend classes (method 3) and use friend classes (method 3) to present a tree template class This way you can see
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the virtues and shortcomings of each approach Our personal preference is to use friend classes, but each method has its own advocates Sections 171 through 173 do not use the material in s 13 through 15 (recursion, inheritance, and polymorphism), with one small exception: We have marked our class destructors with the modi er virtual following the advice given in 15 If you have not yet read about virtual functions ( 15), you can pretend that virtual does not appear in the code For what is done in this chapter it makes no difference whether virtual is present or not Section 174 uses recursion ( 13) but does not use s 14 and 15
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A linked list, such as the one diagrammed in Display 171, is a simple example of a dynamic data structure It s called a dynamic data structure because each of the boxes in Display 171 is a variable of a struct or class type that has been dynamically created with the new operator In a dynamic data structure, these boxes, known as nodes, contain pointers, diagrammed as arrows, that point to other nodes This section introduces the basic techniques for building and maintaining linked lists
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