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Local Using the Local distortion option has the effect of varying the Amplitude value of your Distortion effect around the center origin. At the center of the Distortion effect, Amplitude is at its maximum value. Amplitude then tapers to 0 as the distortion emanates from the center origin of the effect. The results of applying the Local distortion option while the Frequency is varied are shown here:
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So far, the preceding examples have show situations in which the TPL has been used in much the same way in which Thread would be used, but this is just its most basic application. Significantly more sophisticated features are available. One of the most important is the Parallel class. It facilitates the execution of concurrent code and provides methods that streamline both task and data parallelism. Parallel is a static class that defines the For( ), ForEach( ), and Invoke( ) methods. Each has various forms. The For( ) method executes a parallelized for loop, and the ForEach( ) method executes a parallelized foreach loop. Both of these support data parallelism. Invoke( ) supports the concurrent execution of two or more methods. Thus, it supports task parallelism. As you will see, these methods offer the advantage of providing easy ways to utilize common parallel programming techniques without the need to manage tasks or threads explicitly. The following sections examine each of these methods.
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5. Drag the slider control on the guideline between the two square-shaped markers
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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.
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F1 = K1d while the second spring produces a force F2 = K2d . The sum of these forces must equal the applied force F so F = F1 + F2 = ( K1 + K2 )d = Keqd . Clearly, the equivalent spring stiffness is therefore Keq = K1 + K2 .
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shadow ends closer to the bottle. Then, because the bottle should be casting a deep green (not black) shadow, drag a deep green from the Color Palette, and drop it on the end marker, as shown here. Kentucky Green works in this example.
Computer facial recognition is a complex and fascinating software accomplishment. The question, Can a machine recognize faces at least as well as humans is a challenge problem that dates back to early machine vision research in the 1970s, and the problem continues to intrigue and attract researchers from across many disciplines. We inherently know that people look different, and as humans, we have the ability to recognize hundreds of faces: family, friends, acquaintances, and public figures. Humans recognize faces automatically with no conscious effort, and children at an early age can readily recognize familiar faces of parents, siblings, and others that shape the world around them. While we don t question that individuals exhibit a wide range of differences in appearance, those differences are always something we know exactly how to quantify. In other words, what features might a computer program use to recognize or differentiate individuals based solely on appearance Despite much research activity on the matter, there is no single over arching agreement on what the most significant visual differences are that enable us to distinguish individual appearance. Thus it comes as no surprise that there is no unified theory on how best to encode and quantify significant facial features for computer matching. Multiple computer techniques have been explored as candidate solutions, and many have contributed research and partial solutions to the problem. All techniques attempt to compare faces in a fundamental manner
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In this version, Factory( ) is invoked through its class name in this line of code:
Force mass times acceleration, Newton s second law of motion
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to your own classes by creating a special type of constructor called a copy constructor (see 26).
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