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Ordering schemes

A more convincing approach leads to an adaptive method based on the symmetric second order scheme (9). As a first step, we have to introduce a first order scheme substituting p of the previous section. In what follows, we use the following pair of schemes ... [Pg.404]

The secret to success has been to learn from data and from experiments. Chemists have done a series of experiments, have analyzed them, have looked for common features and for those that are different, have developed models that made it po.ssiblc to put these observation.s into a systematic ordering scheme, have made inferences and checked them with new experiments, have then confirmed, rejected, or relined their models, and so on. This process is called inductive learning (Figure 1 -1), a method chemists have employed from the veiy beginnings ol chcmistiy. [Pg.2]

It should be emphasized that the concepts of inductive and resonance effect have not been derived from theory but have been introduced to "explain the experimental observations, to put them into a systematic framework of an ordering scheme. [Pg.7]

Table 2.6 Bond order obtained from the Mayer bond order scheme [Mayer 1983]. Table 2.6 Bond order obtained from the Mayer bond order scheme [Mayer 1983].
It should also be remembered that the discretization scheme influences the accuracy of the results. In most CFD codes, different discretization schemes can be chosen for the convective terms. Usually, one can choose between first-order schemes (e.g., the first-order upwind scheme or the hybrid scheme) or second-order schemes (e.g., a second-order upwind scheme or some modified QUICK scheme). Second-order schemes are, as the name implies, more accurate than first-order schemes. However, it should also be remembered that the second-order schemes are numerically more unstable than the first-order schemes. Usually, it is a good idea to start the computations using a first-order scheme. Then, when a converged solution has been obtained, the user can continue the calculations with a second-order scheme. [Pg.1032]

In contrast to the IJK system 86, compound 87 (Scheme 17a) poses a much steeper synthetic challenge it is during the course of the synthesis of 87 that the diabolical bis(oxepane) problem would have to be dealt with. At this phase of the project, we had benefited from a good deal of experience with the bis(oxepane) problem, and this experience provided the foundation for a conservative solution. Starting from FG ring system 105, it was hoped that rings E, D, C, B, and A could be annulated sequentially and in that order (Scheme 17c). [Pg.759]

Compute an approximation of the solution at the next time step using a low-order scheme (indicated by superscript L) ... [Pg.199]

Figure 13. Schematic of the ordering scheme found in Li2-MnOs showing the honeycomb structure formed by Li (red circles) and Mn (left-hand side) and the structure derived by replacing two Li and one Mn by three Ni (green circles). Figure 13. Schematic of the ordering scheme found in Li2-MnOs showing the honeycomb structure formed by Li (red circles) and Mn (left-hand side) and the structure derived by replacing two Li and one Mn by three Ni (green circles).
Further development of statistical closures, especially in the algebraic form, is strongly recommended for description of two-phase flows. Of interest is inclusion of evaporation in the modeling strategies. It is expected that optimum closures will remain at the level of single-point, one-time, second-order moment. Consideration of differential transport equations for such moments appears to be computationally excessive so algebraic closures are expected to be more widely utilized. These closures portray the simplicity of zero-order schemes, yet preserve (some of) the capabilities of second-order closures. In more complicated flows, it... [Pg.150]

We consider in this Section particular aspects relating to the optimization of a CASVB wavefunction. As for most procedures involving the optimization of orbitals, special attention should be given to the choice of optimization strategy. The optimization problem is in this case non-linear, so that an exact second-order scheme is preferable in order to ensure reliable convergence. A particularly useful account of various second-order optimization schemes has been presented by Helgaker [46]. [Pg.310]

This implementation is second-order accurate with respect to the time and the size step. The scheme is general applicable and as shown in the next section, this scheme is also sensitive for discontinuities in Gn as caused by the R-Z model for fines removal. The oscillations are however less severe than for the method of lines. Also for this method a first-order scheme was Implemented. Here the so-called Lax scheme wcus chosen (8) ... [Pg.164]

The synthesis of aluminum and gallium hydrazides succeeds by several methods, which were used as a rough ordering scheme in the first part of this article ... [Pg.61]

Figure 9 Ordering schemes of the oxygen atoms on the basal... Figure 9 Ordering schemes of the oxygen atoms on the basal...
And his beiief in his structure was so firm that he was prepared to question the experimentaiiy determined atomic weights in cases (such as the eiement thorium) where they seemed to confiict with his ordering scheme. [Pg.85]

Figure 4- Probable Si, Al ordering schemes in double 6-ring unit of faujasite-type structures. Al positions are marked by circles. B requires 96 AVs and C and D require 64 AVs per unit cell. The space group symmetry of the framework is given for each arrangement of the Al atoms. Numbering refers to the nonequivalent T atoms in the common subgroup F222... Figure 4- Probable Si, Al ordering schemes in double 6-ring unit of faujasite-type structures. Al positions are marked by circles. B requires 96 AVs and C and D require 64 AVs per unit cell. The space group symmetry of the framework is given for each arrangement of the Al atoms. Numbering refers to the nonequivalent T atoms in the common subgroup F222...

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See also in sourсe #XX -- [ Pg.165 ]




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Finite-volume scheme first order

Finite-volume scheme high order

Finite-volume scheme second order

First Order Schemes

First-order implicit scheme

First-order reaction scheme

Fourth-order energy computational scheme

High order compact schemes

Higher Order FDTD Schemes in Curvilinear Coordinates

Higher Order Leapfrog Schemes

Higher-order closure schemes

Homogeneous schemes for second-order equations with variable coefficients

Hybrid and Alternative Higher Order FDTD Schemes

Modeling of Lossy and Dispersive Media with Higher Order FDTD Schemes

Scheme 30. Reverse order of silane alcoholysis

Second moment order reaction scheme

Triplet ordering scheme

Upwind differencing scheme first order

Upwind differencing scheme second order

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