Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Project variation

It is well known that for singlet states, the UHF solutions with p pp are really possible when electron correlations become sufficiently strong. More exactly, the spin-polarized HF determinant < ) appear only under the non-singlet (triplet) instability which was defined by Cizek and Paldus in [63]. At the same time, solutions of the spin-projected variational HF method (the Lowdin s extended HF scheme) always exist [19]. The wave functions of this type will be signified by 4> ). This is usually defined by (apart from a normalization factor)... [Pg.169]

E Inductively Instructor presents or students discover principles, formulas, and algorithms in the context of problems or projects. Variations of inductive learning include guided inquiry, problem-based learning, and project-based learning. [Pg.11]

This approach draws on experiences from various method development and optimization projects. Variations in the description of the first steps reflect individual preferences of the laboratories involved as well as differences in the hardware used. [Pg.43]

Plain X-ray films of the craniocervical region including the open mouth projection are essential. There are many anatomical and projectional variations of the cervical spine in this region. It is essential to be familiar with these in order to distinguish normal from pathological (Wackenheim 1974). Nicolet et al. (1984) for example described an apparent hyperostosis of the C2 body which was found to be a projectional variant and not an osteoid osteoma. [Pg.137]

In order to test the economic performance of the project to variations in the base case estimates for the input data, sensitivity analysis is performed. This shows how robust the project is to variations in one or more parameters, and also highlights which of the inputs the project economics is more sensitive to. These inputs can then be addressed more specifically. For example if the project economics is highly sensitive to a delay in first production, then the scheduling should be more critically reviewed. [Pg.325]

So far, the economics of developing discovered fields has been discussed, and the sensitivity analysis introduced was concerned with variations in parameters such as reserves, capex, opex, oil price, and project timing. In these cases the risk of there being no hydrocarbon reserves was not mentioned, since it was assumed that a discovery had been made, and that there was at least some minimum amount of recoverable reserves (called proven reserves). This section will briefly consider how exploration prospects are economically evaluated. [Pg.327]

Projection radiography is widely used for pipe inspection and corrosion monitoring. Film digitisation allows a direct access to the local density variations by computer software. Following to a calibration step an interactive estimation of local wall thickness change based on the obtained density variation is possible. The theoretical model is discussed, the limitations of the application range are shown and examples of the practical use are given. The accuracy of this method is compared to results from wall thickness measurements with ultrasonic devices. [Pg.561]

From (1) it is clear that the phase contrast can be interpreted simply in terms of tbe variation (second order derivative) of the projected image density, and increases with improving resolution of the system, in agreement with the findings of [3]. [Pg.575]

In contrast to variational metliods, perturbation tlieory and CC methods achieve their energies by projecting the Scln-ddinger equation against a reference fiinction (transition formula (expectation value ( j/ It can be shown that this difference allows non-variational teclmiques to yield size-extensive energies. [Pg.2187]

In this section we analyse some approximation methods for variational inequalities considered in Section 1.2. We discuss the penalty and the projection methods and their consequences. As for numerical methods, we refer the reader to (Glowinski et al., 1976). [Pg.34]

In what follows we give applications of the penalty and projection operators to variational inequalities (see Kovtunenko, 1994b, 1994c). [Pg.39]

Thus we give the presentation of variational inequalities as projection equations. It is utilized to construct approximate solutions. [Pg.46]

Now let us consider the second presentation of the variational inequality (1.126) by means of the projection operators. Suppose that A is a linear operator such that... [Pg.48]

Figure 5 shows conduction heat transfer as a function of the projected radius of a 6-mm diameter sphere. Assuming an accommodation coefficient of 0.8, h 0) = 3370 W/(m -K) the average coefficient for the entire sphere is 72 W/(m -K). This variation in heat transfer over the spherical surface causes extreme non-uniformities in local vaporization rates and if contact time is too long, wet spherical surface near the contact point dries. The temperature profile penetrates the sphere and it becomes a continuum to which Fourier s law of nonsteady-state conduction appfies. [Pg.242]

It is worthwhile to make tables or plot cuives that show the effect of variations in costs and prices on profitabihty. This procedure is called sensitivity analysis. Its purpose is to determine to which factors the profitabihty of a project is most sensitive. Sensitivity analysis should always be carried out to obseive the effect of departures from expec ted values. [Pg.817]

Once the economic analysis has been completed, the project should be analyzed for unexpected as well as expected impacts on the economics. This is usually done through a set of what if calculations that test the project s sensitivity to missed estimates and changing economic environment. As a minimum, the DCF rate of return should be calculated for 10% variations in capital, operating expenses, and sales volume and priee. [Pg.244]

In practice the clamping pressure will also depend on the geometry of the cavity. In particular the flow ratio (flow length/channel lateral dimension) is important. Fig. 4.42 illustrates typical variations in the Mean Effective Pressure in the cavity for different thicknesses and flow ratios. The data used here is typical for easy flow materials such as polyethylene, polypropylene and polystyrene. To calculate the clamp force, simply multiply the appropriate Mean Effective Pressure by the projected area of the moulding. In practice it is... [Pg.294]

Exhibit 5-2 shows three sample project installation strategies. Each example shows one possible implementation strategy. Variations on these will almost certainly be required to meet local circumstances. Example 1 envisages shared responsibility for the project with local staff. Example 2 shows local staff taking the lead and Example 3 shows minimal involvement of local staff. Other combinations of responsibilities and the use of other resources are also possible. Constant in all the examples is the development of management processes ahead of programs and elements, and the provision of local training before installation starts. [Pg.97]

The projection equations are then identical with those obtained by minimizing the energy and so the CID and CISD energies are truly variational (they give upper bounds to the full Cl result). [Pg.207]

Other new planning processes are being considered to aid the transition. These include variations of probability analysis, optimum planning tools, and short-lead-time projects. None of these addresses all of the constraints discussed above. This should not, however, be construed as an impossible task. [Pg.1203]

Kuznetsova T, Staessen JA, Thijs L et al (2004) European Project On Genes in Hypertension (EPOGH) Investigators. Left ventricular mass in relation to genetic variation in angiotensin II receptors, renin system genes, and sodium excretion. Circulation 110 2644-2650... [Pg.954]

Variance, 269 of a distribution, 120 significance of, 123 of a Poisson distribution, 122 Variational equations of dynamical systems, 344 of singular points, 344 of systems with n variables, 345 Vector norm, 53 Vector operators, 394 Vector relations in particle collisions, 8 Vectors, characteristic, 67 Vertex, degree of, 258 Vertex, isolated, 256 Vidale, M. L., 265 Villars, P.,488 Von Neumann, J., 424 Von Neumann projection operators, 461... [Pg.785]


See other pages where Project variation is mentioned: [Pg.85]    [Pg.85]    [Pg.983]    [Pg.2580]    [Pg.181]    [Pg.243]    [Pg.150]    [Pg.45]    [Pg.202]    [Pg.166]    [Pg.192]    [Pg.297]    [Pg.227]    [Pg.34]    [Pg.440]    [Pg.404]    [Pg.29]    [Pg.116]    [Pg.189]    [Pg.248]    [Pg.1199]    [Pg.193]    [Pg.952]    [Pg.207]    [Pg.345]    [Pg.16]    [Pg.159]    [Pg.167]    [Pg.285]   
See also in sourсe #XX -- [ Pg.85 ]




SEARCH



Genetic Variation Mapping Project

Variational methods projection operator

© 2024 chempedia.info