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Data structures allow us to achieve an important object-oriented programming goal: component reuse The data structures described in this section (and implemented later in Part IV) have recurring uses When each data structure has been implemented once, it can be used over and over in various applications A data structure is a representation of data and the operations allowed on that data Many, but by no means all, of the common data structures store a collection of objects and then provide methods to add a new object to, remove an existing object from, or access a contained object in the collection In this chapter we examine some of the fundamental data structures and their applications Using a high-level protocol, we describe typical operations that are usually supported by the data structures and briefly describe their uses When possible, we give an estimate of the cost of implementing these operations correctly This estimate is often based on analogy with noncomputer applications of the data structure Our high-level protocol usually supports only a core set of basic operations Later, when describing the basics of how the data structures can be implemented (in general there are multiple competing ideas), we can more easily focus on language-independent algorithmic details if we restrict the set of operations to a minimum core set As an example, Figure 71 illustrates a generic protocol that many data structures tend to follow ref, written in Section 532, wraps a constant O b j e c t reference, so that we can abstract a null reference) We do not actually use this protocol directly in any code However, you could use this class as a starting point for an inheritance-based hierarchy of data structures
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1 / / Collection protocol
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Then, we give a description of the STL interface provided for these data structures Bv no means does the STL necessarilv remesent the best wav of doing things However, it represents the one library for data structures and algorithms guaranteed to be available on all compilers that implement the Standard Its use also illustrates some of the core issues that must be dealt with once the theory is taken care of We defer consideration of efficient implementation of data structures to Part IV At that point we provide some competing implementations for data structures that follow the simple protocols developed in this chapter We also provide one implementation for the basic STL components described in this chapter Thus we are separating the interface of STL (ie, what the STL does), from its implementation (ie, how the STL does it) This approach-the separation of the interface and implementation-is part of the object-oriented paradigm The user of the data structure needs to see only the available operations, not the implementation Recall this is the encapsulation and information hiding part of object-oriented programming The rest of this chapter is organized as follows First, we discuss two fundamental data structures, namely the stack and queue Our discussion is STL-independent Then we discuss the interface for containers and iterators in the STL Next, we describe some STL algorithms Finally, we examine some other data structures that are supported in the STL
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