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The worst performance appears when the network is most unbalanced, keeping in mind that the largest service demand is D+. We then have [DC/D+] stations with service demand D+ and M - [DC/D+1 st at ions with service demand zero. From this, we derive the following lower bound: X(K) K (K + @] - l)D+ K = D+(K - 1) + DC (11.63)

Problem 11.22 (Distributed processing) Consider adistributed network with m nodes as shown in Fig. 11.1. Each node k observes a zero-mean measurement Y k that is related to an unknown zeromean variable x via a linear model of the form yk = Hkx 'Vk, where the data matrix Hk is known, and the noise ' u k is zero mean and uncorrelated with x. The noises across all nodes are uncorrelated R,, wk}, respecwith each other. Let {R,. } denote the positive-definite covariance matrices of {x, tively. Introduce the following notation:

= -'- _ 1 = _ I_ 2 K",

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Once you ve created a slice that spans the top content area, you can quickly use duplicate slices for the center and bottom. 6. With the top_row slice selected, choose Edit u Clone. Drag the new slice into the center of the content rectangle, along the same vertical guides and rename it mid_row in the Property inspector. Repeat this step to create another slice; move it to the cover the bottom part of the rectangle and name it bottom_row (Figure 6-4).

Subtraction is also a simple process. The first number is entered and is displayed. Then the minus ( ) sign is entered. Then the second number is entered and is displayed. Then the equals ( ) sign is entered and the answer appears in the display. 20 10 10

FIGURE 25-21

Introduce the upper-diagonal-lower factorization of the inverse of the central matrix in (45.17), namely,

Ox = (19, 9, 7, 13, 22, 0, I, 2); Qy = (33, 0, 17, 3, 32, 0, I, 0 ) ; $answer = dot(\@x, \Oy); print "Dot product = $answer\n";

and ln[f(q1)f(q2)1- ln[f(Pl)f(PZ)l = P ( Q 1 ) + f % 2 )

is any (I@S)-unitarymatrix that lower triangularizes the pre-array. Moreover, (Lol-l, s) where are found f o the factorization rm

Use the Movie tool in the Editing toolbar to import movies. To import a movie, you create a movie link in the same way you create a link with the Sound tool. Select the Movie tool from the Toolbar Well and double-click the mouse button or click and drag open a rectangle. When you release the mouse button, the Add Movie dialog box opens, as shown in Figure 23.17. Select the compatibility you want to use and click the Browse button to locate the movie to import. Import a movie file by clicking Select and click OK in the Add Movie dialog box. The movie is imported in the current document.

Just as there are string and number contexts, there are also scalar and array contexts. This allows various shortcuts, but it can lead to unexpected results for the unwary. For example, code sample 3.3 shows examples of assigning arrays to scalars and vice versa. Try to guess what each p r i n t statement produces before reading on.

Finite elements, 328 Finite extensibility, 128, 140, 353 steady shear properties, 129 see also FENE-P model Finite extensibility parameter, 128, 354 Finite volumes, 328 First law of thermodynamics, see Equilibrium thermodynamics FitzGerald-Lorentzcontraction, 169 Flow associated with Hamiltonian vector field, 424, 428,430 associated with vector field, 414 Fluctuating force on Brownian particle, 60 Fluctuating heat flux, 60 Fluctuating hydrodynamics, see Hydrodynamics Fluctuating stresses, 60 Fluctuation-dissipationtheorem, 27,34,69, 123, 234,246,250 first kind, 34, 123,244-245 and Giesekus expression, 123 for hydrodynamics, 59-60 second kind, 35, 123,250 projection-operatorderivation, 25 1,462 with memory, 60 Fluctuations, see Noise Fluctuation renornialization, 25 1 Fluid mechanics, 50,65 Fluid velocity, 169 Fluxes, 32.4748.69 see also Forces and fluxes Fokker-Planck equation, 27, 137, 144,250,252, 350 factorized solution, 139 sharply peaked solutions, 251 see also Diffusion equation Forces and fluxes, 32,69,73 diffusing particle, 77 diffusion, 76.78, 120, 123 dilute polymer solutions, 128 discontinuous systems, 90 electric current, 78 examples, 71 external force, 76 gradients of intensive variables, 73 heat flow, 74,78 independent processes, 80 invariance under transformations of the independent variables, 80 momentum flow, 74.78 non-Markovian relationship, 107 nonlinear regime, 72.75 possible couplings, 81 pulsed force, 100 relaxation processes. 78, 117, 163 short relaxation times, 165

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