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of a suf ciently exible, locally self-similar eld .

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In SimplePie, this functionality is often referred to as multifeeds, which may be a ood thing to know when looking for solutions in the SimplePie documentation. In the next example, we ll put SimplePie to a quick test by taking two feeds and listing them depending on date, but limiting the output to just show 10 items:. Code 128B Drawer In Visual Studio .NET Using Barcode encoder for VS .NET .Related: .NET EAN-13 Generating , Generate EAN 128 .NET , Create UPC-A .NET

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logarithmic factors) of the trajectories Indeed, FBM is a good candidate for modeling phenomena which, using a statistical processing, are found to have C H trajectories and are supposed, for theoretical reasons, to be self-similar The importance of the identi cation of H, starting from the samples of the phenomenon necessarily taken in discrete time, is thus crucial At the same time, it is necessary to remember that FBMs are processes with stationary increments, which simpli es the spectral study of the process but is too restrictive for certain applications Indeed, in many elds (when we want to simulate textures in an image), it is expected, a priori, that order H depends on the point at which the process is observed For example, if, using a random eld, we want to model the aerial photographing of a forest, we would like to have a model where the parameter of self-similarity around the point x, noted by h(x), depends on the geological nature of the ground in the vicinity of x However, a spatial modulation of the eld law is generally incompatible with the property of self-similarity, which is the overall property Consequently, the problem consists of arriving at a concept of a suf ciently exible, locally self-similar eld, so that the parameters which de ne the eld law could vary with the position, yet be simple enough to enable the identi cation of these parameters Unfortunately, the simple approach, which consists of reproducing H by a function h(x) in the formula giving the covariance of a FBM, is not satisfactory: generally, we can show that there does not exist any Gaussian eld having this generalized covariance We will thus have to introduce the mathematical tools which will make it possible to build models generalizing FBMs and also to identify the functional parameters of these models These theoretical recaps will be dealt with in section 62, where we will consider each time the relevance of the concept introduced for an example of fractional Brownian motion In this context, we discuss traditional techniques for the study of Gaussian elds and also the tools of analysis in wavelets Using this theoretical framework, in section 63 we will formally de ne the property of local self-similarity and present two examples which form he base of all the later models Having established that these models are not suf ciently general for the applications, we will penetrate into the multifractional world in section 64 In each preceding model, speci c attention will be given to the regularity of the trajectories and, in section 65, we shall develop the statistical methods which make it possible to estimate this regularity This is what we call model identi ability At this point, it is necessary to clarify that the term elds is used for families 1 In applications, the most of random variables indexed by groups of d for d interesting cases correspond to d > 1 (for example, d = 2, for the images) However, certain statements, particularly those concerning identi cation, will relate only to processes (ie, elds where we have d = 1).

performing operation sequences atomically Thread-safe classes, however, may be protected from this attack by the use of the private lock object idiom Using internal objects for locking is particularly suited to classes designed for inheritance (Item 15) such as the WorkQueue class in Item 49 If the superclass were to use its instances for locking, a subclass could unintentionally interfere with its operation By using the same lock for different purposes, the superclass and the subclass could end up stepping on each others' toes To summarize, every class should clearly document its thread-safety properties The only way to do this is to provide carefully worded prose descriptions The synchronized modifier plays no part in documenting the thread safety of a class It is, however, important for conditionally thread-safe classes to document which object ust be locked to allow sequences of method invocations to execute atomically The description of a class's thread safety generally belongs in the class's documentation comment, but methods with special threadsafety properties should describe these properties in their own documentation comments.There is a minor exception to the advice that you should simply ignore thread groups One small piece of functionality is available nly in the ThreadGroup API The ThreadGroupuncaughtException method is automatically invoked when a thread in the group throws an uncaught exception This method is used by the execution environment to respond appropriately to uncaught exceptions The default implementation prints a stack trace to the standard error stream You may occasionally wish to override this implementation, for example, to direct the stack trace to an application-specific log. Code 39 In Java Using Barcode encoder for Java .Related: EAN-8 Generation .NET , .NET UPC-E Generation , ISBN Generating .NET

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