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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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The STL is the one library for data structures and algorithms guaranteed to be available on all compilers that implement the Standard

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Writing a form by hand is instructive for understanding the simplicity of the model, but you will rarely write Windows Forms code completely by hand Usually you will use the Visual Studio IDE to design your forms the Rapid Application Development (RAD) way Let's step through an example

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Suppose that you are a professor who is giving weekly programming assignments You want to ensure that the students are doing their own programs or, at the very least, that they understand the code that they are submitting One solution is to give a quiz on the day each program is due However, these quizzes take time from class and doing so might be practical for only roughly half the programs Your problem is to decide when to give the quizzes Of course, if you announce the quizzes in advance, that could be interpreted as an implicit license to cheat for the 50 percent of the programs that will not get a quiz You could adopt the unannounced strategy of giving quizzes on alternate programs but students would quickly figure out that strategy Another possibility is to give quizzes on what seem like the important programs, but that would likely lead to similar quiz patterns from semester to semester Student grapevines being what they are, this strategy would probably be worthless after one semester One method that seems to eliminate these problems is to flip a coin You make a quiz for every program (making quizzes is not nearly as time consuming as grading them), and at the start of class, you flip a coin to decide whether the quiz is to be given This way neither you nor your students can know before class whether a quiz will be given Also, the patterns do not repeat from semester to semester The students can expect a quiz to occur with 50 percent probability, regardless of previous quiz patterns The disadvantage of this strategy is that you could end up giving no quizzes during an entire semester Assuming a large number of programming assignments, however, this is not likely to happen unless the coin is suspect Each semester the expected number of quizzes is half the number of programs, and with high probability, the number of quizzes will not deviate much from this.

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A randomized algorithm uses random numbers rather than deterministic decisions to control branching

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The running time of a randomizedalgorithm depends on the random numbers that occur, as well as the particular input

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