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public ThreadSafeList() { listItems = new int[100]; count = 0; } public void Add(int num) { lock(m_lock) { // if list is full, allocate more space // otherwise, just add to end... listItems[count] = num; count++; } } public void RemoveAt(int index) { lock(m_lock) { for(int i=index; i<count; i++) { listItems[i] = listItems[i+1]; } count--; } } } Using the lock keyword ensures that only a single thread has access to the internals of the list (the listItems array and the count variable) at any given time. If you removed the lock requests and let several threads add items to and remove items from the list, it probably won t take long for something to go wrong, such as phantom values showing up in the list or the count variable not accurately reflecting the proper size of the list.



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Maintenance of the ITU-T Web site and distribution of information about the activities of the Sector including the schedule of meetings, TSB Circulars, Collective Letters, and all working documents Update of services for the List of ITU-T Recommendations, the ITU-T Work Program Database, the ITU-T Patent Statements Database, and the ITU-T Terms and Definitions Database (SANCHO), as well as update services for other databases as required Country code number assignment for telephone, data, and other services Registrar services for universal international freephone numbers (UIFN) Technical information on international telecommunications and close collaboration with the ITU Radiocommunication Sector and the ITU Telecommunication Development Sector for matters of interest to developing countries Administrative and operational information through the ITU Operational Bulletin Coordination of the editing, publication, and posting of the recommendations





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Comparison of the brute force and genetic optimization results (Tables 3- 1 and 3-2, respectively) reveals that the genetic optimizer isolated a solution with a greater net profit ($172,725) than did the brute force optimizer ($145,125). This is no surprise since a larger solution space, not decimated by increments, was explored. The surprise is that the better solution was found so quickly, despite the handicap of a prematurely stopped evolutionary process. Results like these demonstrate the incredible effectiveness of genetic optimization.

The functions of the Radio Bureau include:

Optimizers based on annealing mimic the thermodynamic process by which liquids freeze and metals anneal. Starting out at a high temperature, the atoms of a liquid or molten metal bounce rapidly about in a random fashion. Slowly cooled, they mange themselves into an orderly configuration-a crystal-that represents a minimal energy state for the system. Simulated in software, this thermodynamic process readily solves large-scale optimization problems. As with genetic opimization, optimization by simulared annealing is a very powerful Stochastic technique, modeled upon a natural phenomenon, that can find globally optimal solutions and handle ill-behaved fitness functions. Simulated annealing has effectively solved significant combinatorial problems, including

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Administrative and technical support to radiocommunication conferences, radiocommunication assemblies, and study groups, including working parties and task groups Application of the provisions of the radio regulations and various regional agreements

Timing can be quite useful in applications, such as to execute time code, influence animations (such as when a certain animation starts), or perform other application-specific functions, such as using a stage timer in a game. The two most useful timer classes in Silverlight are DispatcherTimer, a timer integrated with the dispatch queue, and Timer, from the System.Threading namespace. The major difference between these two timers is where the work method that occurs periodically is executed. The Timer class executes the work method on a separate thread, leaving the user interface responsive, but requiring use of the Dispatcher to change the user interface. The DispatcherTimer, however, does not have this restriction since it executes on the same thread. This makes it much easier to use. Figure 12-5 shows an interface used to experiment with both of these timers.

Downloaded from Digital Engineering Library @ McGraw-Hill (www.digitalengineeringlibrary.com) Copyright 2004 The McGraw-Hill Companies. All rights reserved. Any use is subject to the Terms of Use as given at the website.

the famous traveling salesman problem, and the problem of how best to arrange the millions of circuit elements found on modem integrated circuit chips, such as those that power computers. Methods based on simulated annealing should not be construed as limited to combinatorial optimization; they can readily be adapted to the optimization of real-valued parameters. Consequently, optimizers based on simulated annealing are applicable to a wide variety of problems, including those faced by traders. Since genetic optimizers perform so well, we have experienced little need to explore optimizers based on simulated annealing. In addition, there have been a few reports suggesting that, in many cases, annealing algorithms do not perform as well as genetic algorithms. Because of these reasons, we have not provided examples of simulated annealing and have little more to say about the method.

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Recording and registration of frequency assignments and also orbital characteristics of space services, and maintenance of the Master International Frequency Register Consulting services to member states on the equitable, effective, and economical use of the radio-frequency spectrum and satellite orbits, and investigation and assistance in resolving cases of harmful interference Preparation, editing, and dispatch of circulars, documents, and publications developed within the Sector Delivery of technical information and seminars on national frequency management and radiocommunications, and close work with the Telecommunication Development Bureau to assist developing countries

Analysis (as in real analysis or complex analysis ) is an extension of classical college calculus. Analytic optimizers involve the well-developed machinery of

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