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Don t use recursion for factorials or Fibonacci numbers One problem with computer-science textbooks is that they present silly examples of recursion. The typical examples are computing a factorial or computing a Fibonacci sequence. Recursion is a powerful tool, and it s really dumb to use it in either of those cases. If a programmer who worked for me used recursion to compute a factorial, I d hire someone else. Here s the recursive version of the factorial routine:

. . .

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Create an instance of Foxit Quick PDF Library, this line of code will vary slightly depending on if you're using the DLL edition or the C# edition of the PDF SDK .

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I'm not sure when or if the license changed for the iText# library, but it is ... NET C# 3.5; it is a port of the open source Java library for PDF ...

int Factorial( int number ) { if ( number == 1 ) { return 1; } else { return number * Factorial( number - 1 ); } }

In addition to being slow and making the use of run-time memory unpredictable, the recursive version of this routine is harder to understand than the iterative version. Here s the iterative version:

. A .

int Factorial( int number ) { int intermediateResult = 1; for ( int factor = 2; factor <= number; factor++ ) { intermediateResult = intermediateResult * factor; } return intermediateResult; }

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SharpPDF is a C# library that implements different objects for the creation of PDF documents with few steps. It is created for . NET framework 1.1 and it can create ...

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NET C# 3.5; it is a port of the open source Java library for PDF generation ... It's free , open source and quite convenient to use, but i can't say ...

The second type is long-term memory the part of the mind where your audience members store information over an extended period of time, from as little as 30 seconds to as long as a lifetime In a presentation context, this is where you would like your audience to store the new information you intend to communicate to them Beyond just remembering the new information, you also would like them to be able to access and apply the information from long-term memory when needed Like sensory memory, long-term memory is also potentially unlimited in its capacity The third type is working memory (sometimes called short-term memory) the part of the mind where your audience members hold their attention The theories underlying working memory are complex, but essentially, working memory is a temporary holding area for information.

You can draw three lessons from this example. First, computer-science textbooks aren t doing the world any favors with their examples of recursion. Second, and

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How to create a pdf file in C# - CSharp - Net-Informations.Com
You can specify the file path in the pdf . save function. After save the file , you can double click and open the pdf file. Then you can see the following content in your pdf file. Drag a Button on the Form and copy and paste the following code in the button1_Click event.

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more important, recursion is a much more powerful tool than its confusing use in computing factorials or Fibonacci numbers would suggest. Third, and most important, you should consider alternatives to recursion before using it. You can do anything with stacks and iteration that you can do with recursion. Sometimes one approach works better; sometimes the other does. Consider both before you choose either one.

As sensory memory brie y holds sights or sounds, working memory then pays attention to some of them and holds them for a matter of seconds while it works to integrate them into long-term memory While sensory memory and long-term memory each have unlimited capacity, working memory is severely limited in its capacity to process new information In an in uential paper published in 1956, George A Miller observed that people could hold a small number of chunks that they mentally form in what we now understand as working memory Although the capacity of chunks was thought to be around seven for most people, depending on the type of information, working memory expert Nelson Cowan recently revisited Miller s classic work and now estimates the capacity of working memory for new information at three or four chunks.

You might think the debate related to gotos is extinct, but a quick trip through modern source-code repositories like SourceForge.net shows that the goto is still alive and well and living deep in your company s server. Moreover, modern equivalents of the goto debate still crop up in various guises including debates about multiple returns, multiple loop exits, named loop exits, error processing, and exception handling. Here s a summary of the points on each side of the goto debate.

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