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Monotone map

These expressions represent monotonic mappings of the canonical bands from an S or P scale to an energy scale. The interpretation of (2.28) is that the pure l band is obtained from the canonical -band structure by... [Pg.38]

The following proposition shows that monotone map>s have a canonical decomposition in terms of increasing and decreasing map>s. [Pg.236]

Let K cV he a. convex closed subset of a reflexive Banach space V, I he a duality mapping, and P be a projection operator of V onto K. We are in a position to give a definition of a penalty operator. An operator (5 V V is called a penalty operator connected with the set K if the following conditions are fulfilled. Firstly, / is a monotonous bounded semicontinuous operator. Secondly, a kernel of / coincides with K, i.e. [Pg.37]

This approach is equivalent to the maximum a posteriori (MAP) approach derived by Wallner (Wallner, 1983). The position of the maximum is unchanged by a monotonic transformation and hence further simplification can be achieved by taking the logarithm of Eq. 8... [Pg.379]

In general terms, it has been seen here that the parameter curves are almost always more stmctured than p parameter curves. The latter are known from years of study to broadly conform to a pattern (in the absence of resonances) that starts from a small value at threshold and over a span of a few tens of electronvolts approaches the positive limit (p = +2), essentially monotonically. Empirically, small distinctions between a and n orbital ionizations can be discussed, and of course there are many significant exceptions to such broad expectations. In contrast, there is clearly far more variability, and much less inmitive predictabihty in the detail of the curves we have seen. That being the case, while suggested shape resonant features in a and p parameter curves can sometimes apparently map onto features in the curves [55, 57, 60] these are no more prominent than other structure and seem unlikely, by themselves, to provide visual clues to the presence of a resonance. [Pg.296]

Nonlinear mapping (NLM) as described by Sammon (1969) and others (Sharaf et al. 1986) has been popular in chemometrics. Aim of NLM is a two-(eventually a one- or three-) dimensional scatter plot with a point for each of the n objects preserving optimally the relative distances in the high-dimensional variable space. Starting point is a distance matrix for the m-dimensional space applying the Euclidean distance or any other monotonic distance measure this matrix contains the distances of all pairs of objects, due. A two-dimensional representation requires two map coordinates for each object in total 2n numbers have to be determined. The starting map coordinates can be chosen randomly or can be, for instance, PC A scores. The distances in the map are denoted by d t. A mapping error ( stress, loss function) NLm can be defined as... [Pg.101]

Confocal Raman images were acquired from 50 pm (axial) x20 pm (lateral) areas with step sizes of 2 pm in the axial direction and 4 pm in the lateral direction. The map of the integrated area ratio 485cm /1004 cm 1 is plotted in Fig. 15.8. Most of the exogenous a-TAc permeated 15 pm into skin with a more-or-less monotonic diminishing gradient at depths between 15 and 30 pm. Small pockets of material are observed at depths of 30 35 pm. [Pg.376]

Figure 10.1 Time-temperature map. Shape of main boundaries for linear or network polymers. (I) Glassy brittle domain B, ductile-brittle transition. (II) Glassy ductile domain G, glass transition. (Ill) Rubbery domain. The location of the boundaries depends on the polymer structure but their shape is always the same. Typical limits for coordinates are 0-700 K for temperature and 10-3 s. (fast impact) to 1010 s e.g., 30 years static loading in civil engineering or building structures. Fpr dynamic loading, t would be the reciprocal of frequency. For monotone loading, it could be the reciprocal of strain rate s = dl/ Idt. Figure 10.1 Time-temperature map. Shape of main boundaries for linear or network polymers. (I) Glassy brittle domain B, ductile-brittle transition. (II) Glassy ductile domain G, glass transition. (Ill) Rubbery domain. The location of the boundaries depends on the polymer structure but their shape is always the same. Typical limits for coordinates are 0-700 K for temperature and 10-3 s. (fast impact) to 1010 s e.g., 30 years static loading in civil engineering or building structures. Fpr dynamic loading, t would be the reciprocal of frequency. For monotone loading, it could be the reciprocal of strain rate s = dl/ Idt.
This quantity averages the Shannon entropies conditional on the Gamma and lognormal models, with weights given by their posterior probabilities. In Appendix B, we show that the average entropy is a concave function on the space of probability distributions which is monotone under contractive maps (Sebastiani and... [Pg.127]

Fig. 2.7 shows the graph of T in A. The shape of the graph explains the mapping s name. All points with x < 0 are mapped monotonically to —oo. Points with x > 1 are first mapped to 3(1 — x) < 0 and then also to —oo. Thus, none of the points outside A will ever be mapped into A. This is an important property. It implies that whenever a point of A is mapped outside A this point will never return to A. Thus, this property is called the never-come-hackpiopeTty. It facilitates appreciably the analysis of the tent map. [Pg.52]

Theorem C.6. A compact limit set of a monotone dynamical system in 0 can be deformed by a Lipschitz homeomorphism (with a Lipschitz inverse) to a compact invariant set of a Lipschitz system in IR"" in such a way that trajectories are mapped to trajectories and such that the parameterization of solutions is respected. [Pg.273]

The mapping of T from the subdomain of temperatures onto the interval [0, 1] is the membership or compatibility function fx T). The form of this function is subject to some relatively nonarbitrary constraints to be consistent with one s primitive notions of hotness, fx T) should increase monotonically and smoothly with T, and it should be roughly sigmoidal in shape. However, since a whole family of curves will fit this description, the choice of numerical values for the parameters of fi(T) will to a considerable extent be an arbitrary one. Therefore, the threshold criteria, which are given by fi(T), are themselves fuzzy. [Pg.70]


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