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3. Hermite Gaussian and Lagurre Gaussian beams, as described in Eqn. (4.39) and Problem 4.2 4. Bessel beams, as described in Problem 4.1 Each type of beam is associated with a depth of focus and a focal concentration. The depth of focus, which describes the range over which the image sensor can be displaced while maintaining acceptable focus, is complementary to the depth of eld, which describes the range over which an object can be displaced while remaining in acceptable focus. Since the transverse distribution of a plane wave does not change on propagation, one might consider that plane waves have in nite depth of focus. On the other hand, since the plane wave does not have a focal spot, one might say that it has zero depth of focus. The Bessel beam, with localized maxima, is more interesting but also fails to localize signal power in a nite spot. An imaging system transforms light diverging from an object into a focusing beam. In our discussion so far, the object beam has generally consisted of plane waves, and the focusing beam has consisted of the clear aperture diffraction limited Airy beam. One can imagine, however, optical systems that implement transformations between more general beam patterns. Prior to considering such systems, it is useful to consider whether the structure of the focusing beam makes a difference, speci cally, whether it is possible to focus light such that the rate of defocus differs from conventional optical designs. Referring to Eqn. (10.1), we can see that the depth of focus for the Airy beam is Dzi 4w20 ( f =#)2 . Recalling that the Airy spot size is approximately Dx 1:2lf =#, the relationship between depth of focus and focal spot size is Dzi 2:78w20 Dx2 l2 (10:4)

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The first question you will probably consider, as you contemplate unit testing, is how much unit test code you should write. How much is enough How do we even define enough The party line is to test anything that could break (Jeffries, et al., 2000). But following that to the letter could result in a prohibitively large unit test suite. Assuming that we trust only the simplest getter and setter methods not to break, we d have to write at least one unit test for every other method in the codebase and probably more than one unit test per method, in order to vary the inputs to cover all conditional paths and boundary conditions. The result would be a unit test suite method count that was a multiple of the codebase method count. Where is the point of diminishing return In our experience, the highest-value tests are those that test interfaces at significant layer boundaries. The services layer, for example, which forms the behavioral boundary of your application, is one of the highest-value test points in your architecture. This is true for several reasons: The service layer interface is relied upon by numerous clients of your system. User interfaces, database loaders, and external system interfaces among them. Therefore it is critically important that every exposed service layer method function perfectly across the entire range of inputs, conditional paths, and normal and exceptional circumstances. The service layer uses the domain and persistence layers. Since the services layer fulfills its responsibilities by delegating to the domain and persistence layers, tests of the services layer will indirectly test the lower layers upon which it depends. This central role, and leverage is what makes the services layer a high-value test point.

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= IMcos(wt + $) + j1 M sin (wt + $)

16 V

Unless you have created the slide master yourself, it is temporary. Slide masters come and go as needed, as you format slides with various themes. To lock a slide master so that it doesn t disappear when no slides are using it, right-click the slide master and choose Preserve Master. A check mark appears next to Preserve Master on its right-click menu, indicating it is saved. To un-preserve it, select the command again to toggle the check mark off. See Figure 5-21.

APPLYING SPRY AND STANDARD FORM ELEMENTS // CHAPTER DEFINING VALIDATIONS // STYLING SPRY WIDGETS //

( 2 j f 1)!!(2j+ 3)!! (4j 5 ) ! !

Sometimes it is practical to abbreviate the notation for partial derivatives using a subscript, for example, duldx = u,,dulat = ut, @ u / d x 2 = u , etc. We shall take advantage of ,, this notation in what follows. One of the simplest examples of a second-order hyperbolic equation is the one-dimensional wave equation

for all (z.t ) E rDx ( 0 ,T ) ,

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