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Truncating remainders

This is an eigenvalue problem of the form of Eq. III.45 referring to the truncated basis only, and the influence of the remainder set is seen by the additional term in the energy matrix. The relation III.48 corresponds to a solution of the secular equation by means of a modified perturbation theory,19 and the problem is complicated by the fact that the extra term in Eq. III.48 contains the energy parameter E, which leads to an iteration procedure. So far no one has investigated the remainder problem in detail, but Eq. III.48 certainly provides a good starting point. [Pg.271]

Since we can associate with the moments of n( ) a Stieltjes-type continued fraction, it is convenient to express the integral (8.10) in terms of even and odd approximants of the S- action corresponding to n( ). Following Shcdiat and Tamarkin (see, e.g., ref. 4, p. 119), Gordon presents an expression of the remainder when truncation at order n is performed ... [Pg.127]

The first two terms in the mean energy will be recognized as the familiar classical equipartition value of ksTf2 per degree of freedom. The remainder is due to the truncation of the atom-atom potential to have a finite dissociation energy. Due to this trimcation the contribution of the mean energy per bond does not continue to increase as the temperature increases ... [Pg.64]

For most practical applications, CIMM is used within the framework of local measures. These measures are based on local shape matrices or on the shape groups of local moieties, defined either by the density domain approach mentioned earlier, or by alternative conditions, such as the simple truncation condition replacing the "remainder" of the molecule by a generic domain [192], For proper complementarity, identity or close similarity of the patterns of the matched domains is an advantage, hence the parts Cl HM)) and Cl KM2) of the corresponding local shape codes are compared directly. For shape complementarity only the specified density range [bq - Aa, Bq + Aa] and a specified curvature range of the (a,b) parameter maps is considered. A local shape complementarity measure, denoted by... [Pg.174]

Measurements of the Chi a/Chl b ratio (Table 1) showed that strain 2 [Tanaka et al. 1998] was aberrant in Chi b biosynthesis (Chi Mess mutant). Strain 3 had a Chi a/Chi b ratio of 5.8/1 (Chl-deficient mutant), whereas strains 4-7 had either similar or lower than the control Chi [Pg.118]

A consistent numerical scheme produces a system of algebraic equations which can be shown to be equivalent to the original model equations as the grid spacing tends to zero. The truncation error represents the difference between the discretized equation and the exact one. For low order finite difference methods the error is usually estimated by replacing all the nodal values in the discrete approximation by a Taylor series expansion about a single point. As a result one recovers the original differential equation plus a remainder, which represents the truncation error. [Pg.989]

The problem is understood for the truncated normal form dynamics, but the true dynamics is the one given by the complete Hamiltonian, with the exponentially small remainder ... [Pg.193]

The remainder of this chapter will concentrate on the solid-state research carried out in our laboratories at Wisconsin. Our research in this area began in 1984 when it was recognized that with the x-ray coordinates available, one could use methodology not too different from that in ground-state chemistry. Somewhat later we termed a truncated portion of the x-ray data a mini-crystal lattice. At its simplest, it consisted of one central molecule surrounded by one layer of neighbors. However, the number of layers of neighbors is adjustable. This proved to be one of the more important advances permitting the quantitative studies described in this chapter. [Pg.479]

MLSRPTVGSGFPTSCLSTDGVHSTVSLWGRMGYKEKRSLKINLTGRESKATRAENQTDLV RFLPPELPPVSLFSEMLAASFSIAWAYAIAVSVGKVYATKYDYTIDGNQEFIAFGISNI FSGFFSCFVATTALSRTAVQESTGGKTQVAGIISAAIVMIAILALGKLLEPLQKSVLAAV ... [Pg.239]

All that remains to complete the simulation procedure is to generate trial configurations whose statistical average obeys Eq. (11). Let us consider how to do this. First, note that the maximum number of molecules of species i that may be present in the simulation system without exceeding the material balance given by Eq. (9), is obtained by truncating C/ to an integer number, which we denote by inr(C,). The remainder 5, (0 < 5,- < 1), which must be added to inr(C, ) to get C,, is... [Pg.794]

Figure 7-4 shows a flow chart of the transformations. Only the behavioral partitioning transformation is described in the remainder of this section. In-line expansion of procedure calls, constant folding and common subexpression are described in Chapter 3 or in [WalkerSS]. Map transformation and truncation transformation were defined by Oakley and are described in [Oakley79]. [Pg.167]

The value of is an unknown function of x therefore, it is impossible to evaluate the remainder, or truncation error, term exactly. The remainder is a term of order (n + 1), because it is a function of (x - Xo)" and of the (n + I)th derivative. For this reason, in our discussion of truncation errors, we will always specify the order of the remainder term and will usually abbreviate it using the notation... [Pg.145]


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See also in sourсe #XX -- [ Pg.64 ]




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