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Localization methods

Cost of Capital The value of the interest rate of return used in calculating the net present value (NPV) of a project is usually referred to as the cost of capital. It is not a constant value since it depends on the financial structure of the company, the policy of the company toward a particular project, the local method of assessing taxation, and, in some cases, the measure of risk associated with the particular projec t. The last-named fac tor is best dealt with by calculating the entrepreneurs risk allowance inherent in the project i from Eq. (9-108), written in the form... [Pg.845]

The procedure of determination of metals in the thin layer without elimination of the non-volatile organic components for different paints containing inorganic pigments was developed. Several techniques of sampling from paint-and-lacquer materials for X-ray fluorescence analysis were proposed. For the study of nonhomogenity of metal distribution in the thin layer we used additionally the local method of X-ray fluorescence analysis. [Pg.137]

These methods assume that the reactant and product geometries are known, and that a TS is located somewhere between these two end-points. They differ in how the interpolation is perfonned. It should be noted that many of the methods in this group do not actually locate the TS, they only locate a point close to it. The geometry can then be further refined by some of the local methods given in Section 14.5.9. [Pg.327]

Nonlinear Equations and Systems.—For solving a single nonlinear equation in a single unknown, methods may be classified as local and global. A local method aims at the evaluation of a single... [Pg.78]

Local methods usually take the following form if the equation to be solved is... [Pg.79]

The method is, of course, not self-correcting, and errors can accumulate. However, the local methods require initial approximations, and the approximations provided by this method may be improved if necessary, by applying a local method. [Pg.85]

For solving systems of equations, only local methods are available. Let the equations be given in the form... [Pg.86]

Liouville s equation, derivation of Boltzmann s equation from, 41 Littlewood, J. E., 388 Lobachevskies method, 79,85 Local methods of solution of equations, 78... [Pg.777]

Approximate construction of the manifolds in the neighborhood of these objects through local methods -linear and perhaps higher order (20). [Pg.291]

Local methods, on the other hand, are characterized by input transformations that are approached using partition methods for cluster seeking. The overall thrust is to analyze input data and identify clusters of the data that have characteristics that are similar based on some criterion. The objective is to develop a description of these clusters so that plant behaviors can be compared and/or data can be interpreted. [Pg.28]

Because of these characteristics, local methods are naturally used for interpretation. In this section, we present some of the fundamental elements of these methods as input analysis techniques. However, this discussion closely ties with the interpretation discussion in Section V. [Pg.28]

The objective functions for both k-means clustering and the F-nearest neighbor heuristic given by Eqs. (20) and (21) use information only from the inputs. Because of this capacity to cluster data, local methods are particularly useful for data interpretation when the clusters can be assigned labels. [Pg.30]

Data interpretation methods can be categorized in terms of whether the input space is separated into different classes by local or nonlocal boundaries. Nonlocal methods include those based on linear and nonlinear projection, such as PLS and BPN. The class boundary determined by these methods is unbounded in at least one direction. Local methods include probabilistic methods based on the probability distribution of the data and various clustering methods when the distribution is not known a priori. [Pg.45]

Alternatively, methods based on nonlocal projection may be used for extracting meaningful latent variables and applying various statistical tests to identify kernels in the latent variable space. Figure 17 shows how projections of data on two hyperplanes can be used as features for interpretations based on kernel-based or local methods. Local methods do not permit arbitrary extrapolation owing to the localized nature of their activation functions. [Pg.46]

We consider first methods that find only local solutions to nonconvex problems, as more difficult (and expensive) search procedures are required to find a global solution. Local methods are currently very... [Pg.60]

Sasaki, Y., Hada, R., Nakajima, H., Fukuda, S., Munakata, A., Improved localizing method of radiopill in measurement of entire gastrointestinal pH profiles colonic luminal pH in normal subjects and patients with Crohn s disease, Am. J. Gastroenterol. 1997, 92, 114-118. [Pg.568]

That is, it also reduces the long-range repulsions between the orbitals as much as possible. Thus, this localization method achieves three objectives concentration of the molecular orbitals, short-range separation of different orbitals, and long-range separation of different orbitals. [Pg.43]

Other localization methods rely on mass spectrometry in vaporized parts of the sample such as secondary ion mass spectrometry, SIMS, and other techniques [77, 78]. Here, atomic boron is detected. In addition, the specific electron shell energy of boron (usually the K shell) can be used for visualization [66, 79]. A combination of quantitative techniques with suboptimal spatial resolution and the high-resolution detection methods can give an indication about the radiation response to be expected. All these techniques require, however, that the compound in ques-... [Pg.120]

B. Analytical Properties of Exact Methods The Localization Method. ... [Pg.73]

Two main methods of approach are used in discussing the variation of E . These have been associated with different parts of the reaction path the isolated molecule method is usually assumed to refer to the initial stages of the reaction, and the localization method is generally associated with a transition state in the region of the maximum of the energy curve. Each method has its own reactivity indices these are defined in detail in later Sections, but at this point it is useful to list them, along with certain additional indices relating to models introduced more recently, and to indicate their applicability. [Pg.76]

The context in which the localization method is defined has already been explained in the introductory Section I, but although the method itself is well known the physical basis of its premises remains in many ways obscure. In particular, the concept of localization of tt electrons requires clarification, and the validity of theoretical relationships between reactivity indices of the isolated molecule and localization methods needs further discussion. In this Section we recall the original statement of the method in some detail, and then review some subsequent developments the relationship between the two methods is discussed in Section VI. [Pg.102]

The localization method was originally described by Wheland (1942) with reference to resonance theory, the activated complex being considered as a resonance hybrid consisting of a variable mixture of structures including (I) and (II). [Pg.102]

We can now consider the theoretical relationships between reactivity indices of the isolated molecule and localization methods. First we quote a generalized definition of the localization energy at atom r given by Fukui et al. (1957a)... [Pg.109]

For such localizations to be effective in the present context, those orbital symmetry constraints that would prevent maximal localization in larger molecules must be abandoned. For instance, in the NCCN molecule, Ciy symmetry can be preserved during the localization process, but not left-right mirror symmetry. We have used Raffenetti s (55) version of the Edmiston-Ruedenberg localization method 54). [Pg.108]


See other pages where Localization methods is mentioned: [Pg.79]    [Pg.86]    [Pg.773]    [Pg.29]    [Pg.731]    [Pg.67]    [Pg.74]    [Pg.5]    [Pg.28]    [Pg.46]    [Pg.248]    [Pg.66]    [Pg.229]    [Pg.80]    [Pg.102]    [Pg.107]    [Pg.112]    [Pg.119]    [Pg.123]    [Pg.43]    [Pg.44]    [Pg.50]    [Pg.43]    [Pg.44]    [Pg.50]    [Pg.326]   
See also in sourсe #XX -- [ Pg.201 , Pg.202 ]




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Animal Samples, Characteristics of Sampling Locality and Analytical Methods

Basic Descent Structure of Local Methods

Block localized wave function method

Block-localized wavefunction method

Boys localization method

Coupled-channels-optical method equivalent local

Descent structure of local methods

Electron correlation localized methods

Electronic structure methods local density approximation

Embedded localization method

Factor local rank methods

Full-potential local orbital method

Introduction the local field method

Local Density Methods

Local MP2 Electron-correlation Method for Nonconducting Crystals

Local SCF and analogous methods

Local Schrodinger equation method

Local bleaching, method

Local composition methods

Local consistent field method

Local correlation method

Local density approximation method

Local electrochemical methods

Local electron-correlation method

Local elevation method

Local field method

Local gauge-origin methods

Local loads analysis method

Local methods

Local optimization methods

Local oscillating dipole method

Local probe method

Local reaction field method

Local self-consistent field method

Local spin density approximation method

Local spin-density method

Local states method

Local-density functional method

Local-orbital method

Locality hypothesis method

Localization of molecular orbitals within the RHF method

Localization prediction methods

Localized MP2 method

Localized correlation methods

Localized corrosion potentiostatic methods

Localized molecular orbitals methods

Localized orbital methods

Localized orbital-local origin method

Localized orbitals, local origin LORG) method

Localized pairs, method

Localized quasi-linear inversion based on the Bleistein method

Localized valence bond method

Locally Updated Planes optimization method

Locally updated planes method

Methods Based on Local Information

Modeling Methods for Detailed Local Analysis

Multi-structure interpolation methods chain, locally updated planes, self-penalty walk, conjugate peak refinement and nudged elastic band

Non-local DFT methods

Optimization deterministic local methods

Orbitals localization methods

Quantum Monte Carlo method localization function

Ruedenberg localization method

Saddle points local methods

Symmetry Exploitation in Local MP2 Method for Periodic Systems

The Block-Localized Wave Function and Related Methods

The Localization Method

The Method of Local Oscillating Dipoles

The external localization methods

The internal localization methods

Valence Bond Methods Based on Localized Orbitals

Valence Bond Self-Consistent Field Method with Localized Orbitals

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