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m_Data = RHS End Property 'In clsExposed Private m_Stuff As IStuffImpl Private Sub Class_Initialize() Dim Data As StuffImplData DataName = "clsExposed" Set m_Stuff = New IStuffImpl m_StuffData = Data End Sub Although this code works well for accessing all the data at once, it makes it necessary to make a copy of the data to initialize it and another deep copy whenever you set it A deep data copy duplicates all the data in the structure, whereas a shallow copy duplicates only pointer values to the original data If there are no variable-length strings or variable-size arrays in the UDT, the copy operation works reasonably well for small structures However, if the structure includes these pointer types, the structure copy becomes much more expensive If you want to avoid the copy or let clsExposed have more direct access to the data in IStuffImpl, you'll have to use the array descriptor techniques, described in "Writing to Array Variables" in 2, to give the clsExposed class direct access to the m_Data structure in the IStuffImpl instance that it owns By simply pointing a variable in each class to the same data, we eliminate the notification and copy code required to synchronize two copies of the structure 'IStuffImpl class Implements IStuff Private m_Data As StuffImplData Friend Property Get DataPtr() As Long DataPtr = VarPtr(m_Data) End PropertyPublic Property Get IStuff_Name() As String IStuff_Name = m_DataName End Property 'clsExposed class mplements GetIStuff. 417 2d Barcode In .NET Framework Using Barcode maker for . Make PDF417 In VS .NET Using Barcode .Related: Printing EAN-8 .NET , UPC-E Printing .NET , Make ISBN .NET



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[TAQ 75] TAQQU MS, Weak convergence to fractional Brownian motion and the Rosenblatt process , ZWG, vol 31, p 287 302, 1975 [WEI 72] W EIERSTRASS K, Ueber continuirliche Functionen eines reellen Arguments, die fuer keinen Werth des letzteren einen bestimmten differentialquotienten besitzen , Koenigl Akad Know Mathematical Works II, vol 31, p 71 74, 1872 [WIL 98] W ILLINGER W, PAXSON V, TAQQU MS, Self-similarity and heavy tails: structural modeling of network traf c , in A DLER RJ, F ELDMAN RE, TAQQU MS (Eds), A ractical Guide to Heavy Tails: Statistical Techniques and Applications, Springer-Verlag, p 27 53, 1998.

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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 the 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 o 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).

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The secret to making this work is a form property called AutoScale When a form is first loaded, if AutoScale is set to true (the default), it uses another property called AutoScaleBaseSize This property is actually set by the Designer and specifies the average width and height of characters in the form's font The default font 825-point MS Sans Serif nder Windows XP Normal fonts has an average width and height of 5x13 This information will be encoded into the InitializeComponent function: thisAutoScaleBaseSize = new Size(5, 13); Under Large fonts, the default font will be 78-point MS Sans Serif, but the average width and height of the font has now increased to 6x15 (that's why they call it "Large" fonts) At load time, the form calls FormGetAutoScaleSize and notices the difference between the scale it was designed with and the current scale, and the form adjusts its height and width and those of its controls along with the positions of the controls This keeps the "feel" of the form roughly the same, no matter what the system font settings are In our sample, the form's client area width increased from 296 to 378 (~27%) as the width of the font went from 5 to 6 (~20%) Similarly, the height increased from 54 to 66 (~22%) as the height of the font went from 13 to 16 (~23%) Rounding errors make the scaling imperfect, and it seems that WinForms uses a little fudge factor to make sure that things are big enough But in general, the auto-scaling should yield forms that look pretty good given the amount of work you had to do to achieve the effect (~0%).

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