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Function fitting

This formula is exact for a quadratic function, but for real problems a line search may be desirable. This line search is performed along the vector — x. . It may not be necessary to locate the minimum in the direction of the line search very accurately, at the expense of a few more steps of the quasi-Newton algorithm. For quantum mechanics calculations the additional energy evaluations required by the line search may prove more expensive than using the more approximate approach. An effective compromise is to fit a function to the energy and gradient at the current point x/t and at the point X/ +i and determine the minimum in the fitted function. [Pg.287]

ADF uses a STO basis set along with STO fit functions to improve the efficiency of calculating multicenter integrals. It uses a fragment orbital approach. This is, in essence, a set of localized orbitals that have been symmetry-adapted. This approach is designed to make it possible to analyze molecular properties in terms of functional groups. Frozen core calculations can also be performed. [Pg.333]

The band-structure code, called BAND, also uses STO basis sets with STO fit functions or numerical atomic orbitals. Periodicity can be included in one, two, or three dimensions. No geometry optimization is available for band-structure calculations. The wave function can be decomposed into Mulliken, DOS, PDOS, and COOP plots. Form factors and charge analysis may also be generated. [Pg.333]

Using a GA with a population of 10 members, find the values of the controller gain K and the tachogenerator constant that maximizes the fitness function... [Pg.368]

Hence values of K and K/ generated by the GA are inserted into equation (10.102) and the control u kT) used to drive the discrete plant equation (10.101). The fitness function J is updated at each sampling instant to give an overall value at the end of each simulation. For a population of 10 members, 10 simulations are required per generation. [Pg.370]

At first sight, the easiest approach is to fit a set of points near the saddle point to some analytical expression. Derivatives of the fitted function can then be used to locate the saddle point. This method has been well used for small molecules (see Sana, 1981). An accurate fit to a large portion of the potential energy surface is also needed for the study of reaction dynamics by classical or semi-classical trajectory methods. [Pg.249]

The density fitting functions may or may not be the same as those used in expanding the orbitals. The fitting constants a are chosen so that the Coulomb energy arising from the difference between the exact and fitted densities is minimized, subject to the constraint of charge conservation. The J integrals then become... [Pg.191]

Again the set of fitting functions may or may not be the same as the orbital and/or the density basis functions. Once the potential has been fitted, the exchange—correlation energy may be evaluated from integrals involving three functions, analogously to eq. [Pg.191]

The measurement of correlation times in molten salts and ionic liquids has recently been reviewed [11] (for more recent references refer to Carper et al. [12]). We have measured the spin-lattice relaxation rates l/Tj and nuclear Overhauser factors p in temperature ranges in and outside the extreme narrowing region for the neat ionic liquid [BMIM][PFg], in order to observe the temperature dependence of the spectral density. Subsequently, the models for the description of the reorientation-al dynamics introduced in the theoretical section (Section 4.5.3) were fitted to the experimental relaxation data. The nuclei of the aliphatic chains can be assumed to relax only through the dipolar mechanism. This is in contrast to the aromatic nuclei, which can also relax to some extent through the chemical-shift anisotropy mechanism. The latter mechanism has to be taken into account to fit the models to the experimental relaxation data (cf [1] or [3] for more details). Preliminary results are shown in Figures 4.5-1 and 4.5-2, together with the curves for the fitted functions. [Pg.171]

Kauffman ([kauffSO], [kauffOOa]) has introduced a class of parametrizable fitness landscapes called NK-landscapes, that provide a formalism for studying the efficacy of GA evolution as a function of certain statistical properties of the landscape. Given N binary variables Xi = 1, so that x = (xi, X2, , Xjv) represents a vertex of an A -dimensional hypercube, an NK-landscape is defined by a fitness function, JF, of the form... [Pg.587]

Table 11.3 One pass (read left to right) through the step.s of a basic genetic algorithm scheme to maximize the fitness function f x) = using a population of six 6-bit chromosomes. The crossover notation aina2) means that chromosomes Ca, and Ca2 exchange bits beyond the bit. The underlined bits in the Mutation Operation column are the only ones that have undergone random mutation. See text for other details. Table 11.3 One pass (read left to right) through the step.s of a basic genetic algorithm scheme to maximize the fitness function f x) = using a population of six 6-bit chromosomes. The crossover notation aina2) means that chromosomes Ca, and Ca2 exchange bits beyond the bit. The underlined bits in the Mutation Operation column are the only ones that have undergone random mutation. See text for other details.
General Procedure A function is fit to both sets of data points and a set of responses are chosen that have data points for at least one of the curves within the range of the other curve. A metameter of the fitting function is then used to calculate the concentrations of agonist for the other curve that produce the designated responses from the first curve. [Pg.257]

Fitting Function Equiactivo Concentration Concentration metamotorl... [Pg.259]

It was concluded that the filler partition and the contribution of the interphase thickness in mbber blends can be quantitatively estimated by dynamic mechanical analysis and good fitting results can be obtained by using modified spline fit functions. The volume fraction and thickness of the interphase decrease in accordance with the intensity of intermolecular interaction. [Pg.319]


See other pages where Function fitting is mentioned: [Pg.527]    [Pg.281]    [Pg.322]    [Pg.495]    [Pg.496]    [Pg.498]    [Pg.185]    [Pg.73]    [Pg.74]    [Pg.360]    [Pg.367]    [Pg.372]    [Pg.72]    [Pg.163]    [Pg.163]    [Pg.388]    [Pg.77]    [Pg.694]    [Pg.558]    [Pg.583]    [Pg.585]    [Pg.588]    [Pg.609]    [Pg.234]    [Pg.287]    [Pg.287]    [Pg.289]    [Pg.292]    [Pg.96]    [Pg.241]    [Pg.33]    [Pg.313]    [Pg.152]    [Pg.39]    [Pg.10]   
See also in sourсe #XX -- [ Pg.253 ]

See also in sourсe #XX -- [ Pg.435 , Pg.436 , Pg.449 ]

See also in sourсe #XX -- [ Pg.246 ]




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