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Functional approximation

This expression is an example of how is given as a local density functional approximation (LDA). The tenn local means that the energy is given as a fiinctional (i.e. a fiinction of p) which depends only on p(r) at the points in space, but not on p r) at more than one point in space. [Pg.2181]

Perdew J P and Zunger A 1981 Self-interaction correction to density-functional approximations for many-electron systems Phys. Rev. B 23 5048... [Pg.2230]

Perdew J P and A Zunger 1981. Self-Interaction Correction to Density-Functional Approximations for Many-Electron Systems. Physical Review B23 5048-5079. [Pg.181]

Rogers D and A J Hopfinger 1994. Application of Genetic Function Approximation to Quantitatir Structure-Activity Relationships and Quantitative Structure-Property Relationships. Journal Chemical Information and Computer Science 34 854-866. [Pg.741]

The various studies attempting to increase our understanding of turbulent flows comprise five classes moment methods disregarding probabiUty density functions, approximation of probabiUty density functions using moments, calculation of evolution of probabiUty density functions, perturbation methods beginning with known stmctures, and methods identifying coherent stmctures. For a thorough review of turbulent diffusion flames see References 41—48. [Pg.520]

D Rogers, AJ Hopflnger. Application of genetic function approximation to quantitative strac-ture-activity relationships and quantitative structure-property relationships. J Chem Inf Comput Sci 34(4) 854-866, 1994. [Pg.367]

The Chate and Mamieville approximation schemes consist of finding sets of increasingly finer piece-wise linear step-function approximations of the continuous... [Pg.402]

Here

grid function approximating the right-hand side / of equation (3). With such a variety, we may accept, for example,... [Pg.301]

IV. Compression of Process Data through Feature Extraction and Functional Approximation... [Pg.248]

Bakshi, B. R., and Stephanopoulos, G., Compression of chemical process data through functional approximation and feature extraction. AIChE J., accepted for publication (1995). [Pg.268]

The neuropeptide Y (NPY) belongs to a family of peptides that includes peptide YY and pancreatic polypeptide, and it is associated with several diseases such as asthma, immune system disorders, inflammatory diseases, anxiety, depression and diabetes mellitus. NPY is found in the central and peripheral nervous system, and its biological functions are mediated by interactions with five receptor sub-types, i.e. Yl, Y2, Y4, Y5 and Y6. Several studies indicate that the feeding behavior is influenced by interactions between NPY and Yl and Y5. Deswal and Roy used Cerius descriptors and genetic function approximation QSAR to investigate the structural determinants for the inhibition potency of 24 compounds with the general structure 4 for the NPY Y5 receptor [31]. The best QSAR (H = 0.720,... [Pg.95]

Novoa, J. J., Sosa, C., 1995, Evaluation of Density Functional Approximation on the Computation of Hydrogen Bond Interactions , J. Phys. Chem., 99, 15837. [Pg.296]

Perdew, J. P., 1986, Density-Functional Approximation for the Correlation Energy of the Inhomogeneous Electron Gas , Phys. Rev. B, 33, 8822. [Pg.297]

Perdew, J. P., Ernzerhof, M., Burke, K., 1996, Rationale for Mixing Exact Exchange With Density Functional Approximations , J. Chem. Phys., 105. 9982. [Pg.297]

Now, we switch gears and look into the dead time transfer function approximation. To do a Pade approximation, we can use the MATLAB function 3... [Pg.230]

Alternatively, the definition of the mean transition time (5.4) may be obtained on the basis of consideration of optimal estimates [54]. Let us define the transition time i) as the interval between moments of initial state of the system and abrupt change of the function, approximating the evolution of its probability Q(t.X(t) with minimal error. As an approximation consider the following function v /(f,xo, ) = flo(xo) + a (xo)[l(f) — l(f — i (xo))]. In the following we will drop an argument of ao, a, and the relaxation time d, assuming their dependence on coordinates of the considered interval c and d and on initial coordinate x0. Optimal values of parameters of such approximating function satisfy the condition of minimum of functional ... [Pg.378]


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Approximating functions

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