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This chapter has focused on kinematic model derivations, navigation mechanization, error analysis, initialization, and INS aiding. The main references for this chapter were [27, 33, 37, 50, 73, 95, 110, 111, 116, 126, 129, 138]. The simplifying notation in Table 11.1 is based on that de ned in [138]. More examples and more detailed discussion of the trajectories from the linearized inertial navigation system error dynamics is presented in [27, 138]. Gravity is discussed in [37, 67, 73, 127]. Inertial instruments have only been discussed very brie y herein. The various types of inertial instruments, their characteristics, and tradeo s are discussed in considerable depth in, for example, [73, 83, 126]. The distinction between inertial and kinematic accelerations is discussed well in, for example, [37, 73]. Detail technical descriptions of inertial sensor modeling and design can be found in [73, 126]. The sensor error models presented herein are drawn from [27, 93, 138]. Strap-down INS speci c implementation formulas are discussed in [15, 16, 115]. In particular, [115] presents numeric formulas for multi-rate implementations where the highest rate loops transform the speci c force measurements to navigation frame accounting for navigation frame rotation. The lower rate loops integrate the navigation frame velocity and position di erential equations. The topic of how to complete the mechanization equation computation most e ciently by performing certain subsets of the calculations in speci c coordinate frames is addressed in [15, 16].

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Profit/loss by change in CAT common price $ 360 180 0 180 360 540 720 900 18.50 21.50 24.50 27.50 30.50 33.50 36.50 39.50 42.50 45.50

Wednesday, and Friday) so that in any workout you re not training more than two bodyparts utilizing giant sets. Doing too much of this particular training method will invariably prove too taxing for your central nervous system to produce any results whatever. On Monday, you will train your legs and shoulders (Workout One); on Wednesday, you will be training your chest and triceps (Workout Two); and on Friday, you ll be training your back and biceps (Workout Three). You ll rest over the weekend and then start the cycle over again on the following Monday. Here is the workout routine:

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When the primal is the LP that expresses the max- ow problem, it is possible to assign interpretations to the dual variables that show the dual to be none other than the minimumcut problem (Exercise 7.25). The relation between ows and cuts is therefore just a speci c instance of the duality theorem. And in fact, the proof of this theorem falls out of the simplex algorithm, in much the same way as the max- ow min-cut theorem fell out of the analysis of the max- ow algorithm.

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tients with idiopathic pseudotumor cerebri Their observation that the venous pressure drops immediately upon the reduction in CSF pressure supports the notion that the increased venous pressure is secondary (furthermore, they describe patients with normal venous pressures in the sagittal and transverse sinuses) The unsatisfactory nature of all the currently offered theories of causation of pseudotumor cerebri are reviewed extensively by Walker; but at the moment, our reading of the literature suggests that venous stenosis, from granulations or from some yet unde ned functional change, does account for a large proportion of what had previously been considered to be idiopathic However, this mechanism does not apply in all cases How the venous changes relate to obesity and gender is also unclear Perhaps some individuals have a congenital con guration of the venous sinuses that is exaggerated with obesity of elevated systemic venous pressures.

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