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Variable curvature method

The indirect methods for fiber-matrix adhesion-level measurement are shown in Fig. 2. These include the variable curvature method the slice compression test, the ball compression test, the fiber-bundle pull-out test the use of dynamical-mechanical thermal analysis and voltage-contrast X-ray photoelectron spectroscopy (VCXPS). [Pg.609]

Another method for fitting the background is used by the program EVA of Bruker AXS. Here parabolas with a variable curvature (set by the user) are shifted upwards from below the pattern until they touch the background. The envelope of all these parabolas is then taken as background curve. [Pg.93]

Since the integral method described above is based on the premise that some rate function exists that will lead to a value of i/ Cj) that is linear in time, deviations from linearity (or curvature) indicate that further evaluation or interpretation of the rate data is necessary. Many mathematical functions are roughly linear over sufficiently small ranges of variables. In order to provide a challenging test of the linearity of the data, one should perform at least one experimental run in which data are... [Pg.49]

The formulas (120) and (127) define a set of the local curvature variables that can be used for the digital pattern analysis in the case of an arbitrary lattice. Calculation of the curvature distribution is, in principle, impossible within the digital pattern methods. [Pg.214]

Newton s method makes use of the second-order (quadratic) approximation of fix) at x and thus employs second-order information about fix), that is, information obtained from the second partial derivatives of fix) with respect to the independent variables. Thus, it is possible to take into account the curvature of fix) at x and identify better search directions than can be obtained via the gradient method. Examine Figure 6.9b. [Pg.197]

The important aspect of (13.70b) is that each pa=Pa(U, V, N) has maximal ( most probable ) character with respect to the natural control variables of S. The constrained maximization procedure to find this optimal distribution by the method of Lagrange undetermined multipliers [see Schrodinger (1949), Sidebar 13.4, for further details] is very similar to that described in Section 5.2. In particular, the pa must be maximal with respect to variations in each control variable, leading to the usual second-derivative curvature conditions such as... [Pg.448]

Although it is possible to measure directly Mn in body fluids at normal concentrations of 18—180 nmol 1 I (1—lOpgl-1) it is difficult to achieve a precision of better than 0.10 RSD. The elimination of the considerable molecular absorption interferences requires strict control of ETA ashing temperatures and a good background correction system, and the variable condensed phase matrix interferences from the inorganic constituents necessitates the use of standard additions for calibration [64], Even this approach may not yield a viable method due to curvature of the calibration graph at very low absorbances, particularly with a diluted blood matrix [65],... [Pg.356]

It is clear that we can thus determine a way to the extreme point of the response surface curvature. At the same time, it is not difficult to observe that the ABCDE way is not a gradient. Despite its triviality, this method can be extended to more complex dependences (more than two variables) if we make amendments. It is important to note that each displacement required by this procedure is accomplished through an experiment here the length of displacement is an apparently random variable since we cannot compute this value because we do not have any analytical or numerical expression of the response function. The response value is available at the end of the experiments. [Pg.385]

Renormalized Davidson correction, 137 Small Curvature Semiclassical Adiabatic Thermodynamical cycle, 382 Variable metric optimization method, 321... [Pg.222]

A number of instrumental methods have been reported for evaluating variables associated with hair body [189-193], These methods measure changes in fiber friction, stiffness, curvature, diameter, weight, cohesion, and length. Treatments that increase the hair s curvature or diameter, increase the friction forces between fibers, or make the hair stiffer will increase body. Those that increase the cohesion between fibers or weigh them down will decrease hair body. [Pg.432]

An approach somewhat related to the broken-path method, but more accurate, has been employed by Johnson (1972). It also makes use of curvilinear coordinates (s, p) chosen with constant curvature, and divides the intermediate region into several sectors. In each of these the variables s, p are separable. Calculations were done with the amplitude density technique, matching functions and derivatives at each sector s boundary. The potential was that of Porter and Karplus, and the local vibrational motion was assumed to be harmonic. Good agreement was found with Diestler s at low energies. [Pg.27]

There are situations, when feature selection coupled with MLR can offer some advantages, compared to the full spectrum methods. This can happen, for instance, if there are many redundant X-variables with very different curvature in their relationship to Y. In such case, the feature selection procedure allows to eliminate those X-variables, which are most non-linear in their response, while their non-linear curvatures may contaminate the full-spectrum calibration models. [Pg.323]


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See also in sourсe #XX -- [ Pg.609 ]




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Curvatures

Method variability

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