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Space of basis functions

Now, if a suitable space of basis functions is used (a space of basis functions that is closed under the symmetry operations of the group), we can construct a set of representations (each one consisting of 48 matrices) for this space that is particularly useful for our purposes. It is especially relevant that the matrices of each one of these representations can be made equivalent to matrices of lower dimensions. [Pg.240]

This set of representations is usually known as a representation of the group. Obviously, if we choose anotiier space of basis functions., anotiier representation of the group can be constructed, and so an infinite number of representations is possible for a given symmetry group. [Pg.240]

This is an L2 inner product. The orthogonality condition states that the residual is orthogonal to the space of basis functions. [Pg.1005]

Given an m-dimensional vector space of basis functions, the act of solving the Hartree-Fock equations is to induce a linear transformation of the vectors in that space to divide it into two sub-spaces ... [Pg.214]

The amount of computation for MP2 is determined by the partial tran si ormatioii of the two-electron integrals, what can be done in a time proportionally to m (m is the u umber of basis functions), which IS comparable to computations involved m one step of(iID (doubly-excitcil eon figuration interaction) calculation. fo save some computer time and space, the core orbitals are frequently omitted from MP calculations. For more details on perturbation theory please see A. S/abo and N. Ostlund, Modem Quantum (. hern-isir > Macmillan, Xew York, 198.5. [Pg.238]

The true value of tk for a many-electron atom or a molecule is unknown. If we could set it equal ( expand it) to a linear combination of an infinite number of basis functions, each defined in a space of infinite dimensions, we could carry out an exact calculation of (k. Such a set of basis functions would be a complete set. [Pg.242]

The disadvantage of ah initio methods is that they are expensive. These methods often take enormous amounts of computer CPU time, memory, and disk space. The HF method scales as N, where N is the number of basis functions. This means that a calculation twice as big takes 16 times as long (2" ) to complete. Correlated calculations often scale much worse than this. In practice, extremely accurate solutions are only obtainable when the molecule contains a dozen electrons or less. However, results with an accuracy rivaling that of many experimental techniques can be obtained for moderate-size organic molecules. The minimally correlated methods, such as MP2 and GVB, are often used when correlation is important to the description of large molecules. [Pg.28]

The critical decisions in the modeling problem are related to the other three elements. The space G is most often defined as the linear span of a finite number, m, of basis functions, 0 ), each parametrized by a set of unknown coefficients w according to the formula... [Pg.167]

One example of a structure (8) is the space of polynomials, where the ladder of subspaces corresponds to polynomials of increasing degree. As the index / of Sj increases, the subspaces become increasingly more complex where complexity is referred to the number of basis functions spanning each subspace. Since we seek the solution at the lowest index space, we express our bias toward simpler solutions. This is not, however, enough in guaranteeing smoothness for the approximating function. Additional restrictions will have to be imposed on the structure to accommodate better the notion of smoothness and that, in turn, depends on our ability to relate this intuitive requirement to mathematical descriptions. [Pg.175]

Step 1. Select a family of basis functions, 0(x), supporting a multiresolution decomposition of the input space. [Pg.178]

The framework, however, as introduced so far is of little help for our purpose since the shift from any subspace to its immediate in hierarchy would require to change entirely the set of basis functions. Although j x) are all created by the same function, they are different functions and, consequently, the approximation problem has to be solved from scratch with any change of subspace. The theory of wavelets and its relation to multiresolution analysis provides the ladder that allows the transition from one space to the other. [Pg.184]

Because of the terms Ir-RAl and Ir-rT explicit solutions to Eq. 3 carmot be obtained in position space. In such cases approximate solutions are usually expressed as truncated linear combinations of basis functions (LCAO expressions). In spite of its successes, the LCAO approximation experiences various difficulties (truncation limits, nature of the basis functions, etc.) hard to estimate and which are not entirely controllable [51]. [Pg.146]

The concepts described so far are usually not applied in the original data space but in a transformed and enlarged space using basis expansions (see Section 4.8.3 about nonlinear regression). Thus each observation jc, is expressed by a set of basis functions (object vectors jc, with m dimensions are replaced by vectors h(x,) with r dimensions)... [Pg.240]

The primary characteristic of WT that distinguishes it from DFT, is that two-electron operators are treated explicitly. However, except for a few methods that attempt to use explicit two electron operator r12 = r,-r2 ) terms in the wave function, [4] the vast majority of wave function methods attempt to describe the innate correlation effects ultimately in terms of products of basis functions, fcP(l)Xq(2) - %P(2)%q(l)], where (1) indicates the space (r2) and spin (a) coordinates of electron one (together... [Pg.272]

An important difference between the BO and non-BO internal Hamiltonians is that the former describes only the motion of electrons in the stationary field of nuclei positioned in fixed points in space (represented by point charges) while the latter describes the coupled motion of both nuclei and electrons. In the conventional molecular BO calculations, one typically uses atom-centered basis functions (in most calculations one-electron atomic orbitals) to expand the electronic wave function. The fermionic nature of the electrons dictates that such a function has to be antisymmetric with respect to the permutation of the labels of the electrons. In some high-precision BO calculations the wave function is expanded in terms of basis functions that explicitly depend on the interelectronic distances (so-called explicitly correlated functions). Such... [Pg.381]

Set up a global basis xi)X2,— of basis functions and divide the global space into three subspaces (i) functions of a core space (ii) iVvai functions of a valence sp>ace and Na,m functions of a complementary subspace. [Pg.25]


See other pages where Space of basis functions is mentioned: [Pg.274]    [Pg.153]    [Pg.529]    [Pg.398]    [Pg.555]    [Pg.274]    [Pg.153]    [Pg.529]    [Pg.398]    [Pg.555]    [Pg.310]    [Pg.491]    [Pg.162]    [Pg.164]    [Pg.172]    [Pg.150]    [Pg.160]    [Pg.167]    [Pg.168]    [Pg.169]    [Pg.175]    [Pg.190]    [Pg.304]    [Pg.14]    [Pg.21]    [Pg.42]    [Pg.471]    [Pg.472]    [Pg.52]    [Pg.38]    [Pg.63]    [Pg.298]    [Pg.298]    [Pg.367]    [Pg.392]    [Pg.333]   
See also in sourсe #XX -- [ Pg.240 ]




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