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Notice, first, that the preceding code fragment uses a manual-reset event and calls PulseEvent rather than SetEvent Is this the correct choice, and could the event be used differently The answer is "yes" to both questions Referring back to Table 8-1, we see that the example has the property that multiple threads will be released This is correct in this example, where several messages are produced and there are multiple consuming threads, and we need to broadcast the change However, if the producer creates just one message and there are multiple consuming threads, the event should be auto-reset and the producer should call SetEvent to ensure that exactly one thread is released This variation is the signal CV model rather than the broadcast CV model It is still essential for the released consumer thread, which will then own the mutex, to modify the object to indicate that there is no available message (that is, the condition variable predicate will no longer hold) Of the four combinations in Table 8-1, two are useful in the condition variable model Considering the other two combinations, auto-reset/PulseEvent would have the same effect as auto-reset/SetEvent (the signal CV model) because of the time-out, but the dependence on the time-out would reduce responsiveness The manual-reset/SetEvent combination causes spurious signals (the condition variable predicate test offers protection, however), because some thread must reset the event, and there will be a race among the threads before the event is reset In summary, auto-reset/SetEvent is the signal CV model, which releases a single waiting thread, while manual-reset/PulseEvent s the broadcast CV model, which releases all waiting threads Pthreads has the same distinction but does not require the finite time-out in the event wait for the broadcast model, whereas the time-out is essential in Windows because the mutex release and event wait are not performed atomically This will change, however, when we introduce SignalObjectAndWait.

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"This book stands above the rest because it has been available on the web and read by thousands of Java programmers The authors have received an enormous amount of feedback about which sections are good and which sections are confusing; the confusing ones have been improved I doubt that any other Java book has undergone such trial by fire uot; -Metroplex Java User Group, wwwjavamugorg/reviews/ Whether you're taking a class or learning on the job, The Java(TM) Tutorial, Third Edition , is a handson guide that lets you quickly become proficient with the Java programming language Written by members of the Java Software team at Sun Microsystems, the book uses an interactive approach to help you learn the Java platform by example Since its first online release in 1995, the material in The Java(TM) Tutorial has been updated continuously to reflect reader feedback and new releases of the Java platform This third edition has been thoroughly updated to cover v13 of the Java Platform, Standard Edition, as well as preceding versions as early as JDK 11 You will find clear explanations of such fundamentals as objects, classes, and data structures In addition, the book provides introductions to object-oriented programming, applet construction, and user interface design Other topics include exceptions, I/O, and threads To help beginners avoid many common mistakes, an entire chapter is devoted to programming problems and their solutions Convenient summaries at the end of each section are new to this edition Also new for this edition are "Questions and Exercises" sections to help you practice what you learn After working through the lessons in this proven tutorial, you will be well prepared to use the Java programming language in your school or workplace.

Swapping is a classic example of a routine that is type-independent and thus well suited for a template implementation In this section we write a function template that sorts and show how a m a i n routine uses it Our simple program reads a sequence of integers (until the end of input or bad input is detected), sorts them, and outputs them If we change our minds and decide that we want a sequence of floating-point numbers or s t r i n g objects, then we expect only a one-word change (at one location) in the entire program' Sorting is accomplished by a simple sort function template Sorting is implemented by an algorithm known as insertion sort I nsertion sort is a simple sorting algorithm that is ppropriate for small inputs It is generally considered to be a good solution if only a few elements need sorting because it is such a short algorithm and the time required to sort is not likely to be an issue However, if we are dealing with a large amount of data, insertion sort is a poor choice because it is too time consuming In that case better algorithms should be used, as discussed in 9 The insertion sort algorithm is coded in Figure 34 We use this routine in Section 43 Insertion sort works as follows In the initial state the first element, considered by itself, is sorted In the final state all elements (assume that there are N), considered as a group, are to have been sorted Figure 35 shows that the basic action of insertion sort is to sort the elements in positions 0 through p (where p ranges from 1 through N - 1) In each stage p increases by 1 That is what the outer loop at line 7 in Figure 34 is controlling When the body of the f o r loop is entered at line 9, we are guaranteed that the elements in array positions 0 through p- 1 have already been sorted and that we need to extend this to positions 0 to p Figure 36 gives us a closer look at what has to be done, detailing only the relevant part of the array At each step the element in boldface type needs to be added to the previously sorted part of the array We can easily do that by placing it in a temporary variable and sliding all the elements that are larger than i t one position to the right Then we can copy the temporary variable into the former position of the leftmost relocated element (indicated by lighter shading on the following line) We keep a counter j , which is the position to which the temporary variable should be written back Every time an element is slid, j decreases by 1 Lines 9-1 4 implement this process.

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