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Numerical Example
"... Find the angular stiffness of a gaslubricated journal bearing operating at 12,000 rpm in air at 100 F and 1 atmosphere pressure. The bearing diameter is ' / » in., its length is l ' A in., and the average radial clearance between journal and bearing is 1 0 i n. positive pressure loop a ..."
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Find the angular stiffness of a gaslubricated journal bearing operating at 12,000 rpm in air at 100 F and 1 atmosphere pressure. The bearing diameter is ' / » in., its length is l ' A in., and the average radial clearance between journal and bearing is 1 0 i n. positive pressure loop and seem in fact to approach an asymptotic value. There are no published data available for bearings running at elevated ambient pressures and perhaps the author knows of such experiments in which the discrepancy is not as high as that given. However, it remains fairly certain that this behavior is typical and that the boundary conditions in gas lbsec of time \ /12000 „ 1 \ / 1 \ 2.. 6 X 2.8 X 10 » — X — X 2x — — X T in.' \ in. / \ 60 sec of t ime / \ 4 / lb From Fig. 3 for H = 6.4 and b/d = 3 irkp0rb38 lb 1 (0.733)7r X 1.4 X 14.7 — X in. X (1.5)3 in.3 i n 2 4 8 12 X 10 * in. X 2.06 X 105 sec of arc/radian sec of arc
Interferometry by deconvolution. Part 1—theory for acoustic waves and numerical examples,Geophysics
"... and numerical examples ..."
Numerical examples Conclusions
"... Discretisation of stochastic material parameters Current methods for responsestatistics calculation ..."
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Discretisation of stochastic material parameters Current methods for responsestatistics calculation
The StructureMapping Engine: Algorithm and Examples
 Artificial Intelligence
, 1989
"... This paper describes the StructureMapping Engine (SME), a program for studying analogical processing. SME has been built to explore Gentner's Structuremapping theory of analogy, and provides a "tool kit" for constructing matching algorithms consistent with this theory. Its flexibili ..."
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Cited by 512 (115 self)
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, and demonstrate that most of the steps are polynomial, typically bounded by O (N 2 ). Next we demonstrate some examples of its operation taken from our cognitive simulation studies and work in machine learning. Finally, we compare SME to other analogy programs and discuss several areas for future work. This paper
Premiums: A Simple Numerical Example ∗
"... This paper investigates how interest rates on liquid assets and excess returns on risky assets are determined when only safe assets can be used as liquid assets when waiting for an informative signal of future payoffs. In particular, we carefully differentiate between a demand for liquid assets whil ..."
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while waiting for new information and a demand for safe assets for precautionary reasons. Employing Kreps–Porteus preferences, numerical examples demonstrate that larger waitingoptions premiums (lower interest rates) emerge with higher risk aversion in combination with more elastic intertemporal
Inverse Neumann Problem Numerical Examples
"... Two problems are inverse to each other if the formulation of each of them requires all or partial knowledge of the other. Often, for historical reasons, one of the two problems has been studied extensively for some time, while the other is newer and not so well understood. In such cases, the former ..."
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Two problems are inverse to each other if the formulation of each of them requires all or partial knowledge of the other. Often, for historical reasons, one of the two problems has been studied extensively for some time, while the other is newer and not so well understood. In such cases, the former problem is called the direct problem, while the latter is called the inverse problem.
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