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Consider the performance consequences of your API design decisions Making a public type mutable may require a lot of needless defensive copying (Item 24) Similarly, using inheritance in a public class where composition would have been appropriate ties the class forever to its superclass, which can place artificial limits on the performance of the subclass (Item 14) As a final example, using an implementation type rather than an interface in an API ties you to a specific implementation, even though faster implementations may be written in the future (Item 34) The effects of API design on performance are very real Consider the getSize method in the javaawtComponent class The decision that this performance-critical method was to return a Dimension instance, coupled with the decision that Dimension instances are mutable, forces any implementation of this method to allocate a new Dimension instance on every invocation Even though, as of release 13, allocating small objects is relatively inexpensive, allocating millions of objects needlessly can do real harm to performance In this case, several alternatives existed Ideally, Dimension should have been immutable (Item 13); alternatively, the getSize method could have been replaced by two methods returning the individual primitive components of a Dimension object In fact, two such methods were added to the Component API in the 12 release for performance reasons Preexisting client code, however, still uses the getSize method and still suffers the performance consequences of the original API design decisions Luckily, it is generally the case that good API design is consistent with good performance It is a very bad idea to warp an API to achieve good performance The performance issue that caused you to warp the API may go away in a future release of the platform or other underlying software, but the warped API and the support headaches that it causes will be with you for life Once you've carefully designed your program and produced a clear, concise, and wellstructured implementation, then it may be time to consider optimization, assuming you're not already satisfied with the performance of the program Recall that Jackson's two rules of optimization were Don't do it, and (for experts only) Don't do it yet He could have added one more: Measure performance before and after each attempted optimization You may be surprised by what you find Often attempted optimizations have no measurable effect on performance; sometimes they make it worse The main reason is that it's difficult to guess where your program is spending its time The part of the program that you think is slow may not be at fault, in which case you'd be wasting your time trying to optimize it Common wisdom reveals that programs spend 80 percent of their time in 20 percent of their code Profiling tools can help you decide where to focus your optimization efforts Such tools give you run-time information such as roughly how much time each method is consuming and how many times it is invoked In addition to focusing your tuning efforts, this can alert you to the need for algorithmic changes If a quadratic (or worse) algorithm lurks inside your program, no amount of tuning will fix the problem You must replace the algorithm with one hat's more efficient The more code in the system, the more important it is to use a profiler It's like looking for a needle in a haystack: The bigger the haystack, the more useful it is to have a metal detector The Java 2 SDK comes with a simple profiler, and several more sophisticated profiling tools are available commercially.



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OCR Images to Text in VB . Net Applications You'll receive all text, barcode, & QR content as a result. Add OCR functionality to . Net Console, Web, or Desktop Apps. Images can be submitted as PDF, JPG, PNG, GIF, BMP and TIFF.

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the constant CUTOFF Otherwise, we proceed with the recursive procedure Lines 11 to 17 sort the low, middle, and high elements in place In keeping with our previous discussion, we use the middle element as the pivot and swap it with the element in the next-to-last position at lines 20 and 21 We then do the partitioning phase We initialize the counters i and j to 1 past their true initial values because the prefix increment and decrement operators will immediately adjust them before the array accesses at lines 27 and 28 When the first w h i l e loop at line 27 exits, i will be indexing an element that is greater than or possibly equal to the pivot Likewise, when the second loop ends, j will be indexing an element that is less than or possibly equal to the pivot If i and j have not crossed, these elements are swapped and we continue scanning Otherwise, the scan is terminated and the pivot is restored at line 34 The sort is finished when the two recursive calls are made at lines 36 and 37 The fundamental operations occur at lines 27 through 30 The scans consist of simple operations: increments, array accesses, and simple comparisons, accounting for the "quick" in quicksort To ensure that the inner loops are tight and efficient, we want to be sure that the swap at line 30 comprises the three assignments that we expect and does not incur the overhead of a function call Thus we declare that the s w a p routine is an inline function, or in some cases, we write the three assignments explicitly (eg, if the compiler exercises its right to ignore the inline request) Although the code looks straightforward now, that is only because of the analysis we performed prior to coding Additionally, some traps are still lurking (see Exercise 915) Quicksort is a classic example of using an analysis to guide a program mplementation.

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A problem closely related to sorting is selection, or finding the kth smallest element in an array of N items An important special case is finding the median, or the N12th smallest element Obviously, we can sort the items, but as selection requests less information than sorting, we hope that selection would be a faster process That turns out to be true By making a small change to quicksort, we can solve the selection problem in linear time on average, giving us the algorithm quickselect The teps for Quickselect(S, k) are as follows Code 128B Creator In NET Using Barcode maker for ASP Related: Generate ITF-14 NET WinForms , Generate ITF-14 VBNET , Create PDF417 ASPNET.

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[Solved] Is this possible to Extract Text from Scanned PDF ...
to get text from a pdf look into ITextSharp have a look at Converting PDF to ... to extract text from an image you need to do OCR have a look at ...

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Feb 26, 2019 · NET SDK is a class library based on the tesseract-ocr project. ... To develop the sample application, we will need Visual Studio and a basic ...












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