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Root determination

These roots determine the transient response of the system and for a second-order system can be written as... [Pg.112]

High-pressure systems in the vicinity of critical points, such as synthesis gas and air separation systems, remain a challenge. Our flash algorithm has difficulty in identifying the correct phase state, or converging to the correct vapor-Uquid solutions. This problem may be exacerbated by the difficulty in obtaining the equation of state volume root in the vicinity of the critical points. Further work to improve the algorithm and the equation of state volume root determination is required. It is believed that the homotopy continuation methods are probably better suited for calculations near the critical points. [Pg.176]

Fig. (44). Distributions of scopolamine and lAA in the hairy and adventitious roots determined by ELISA. The hairy and adventitious roots were cultured in MS liquid medium at 25 °C in the dark for 4 weeks. Bars represent standard deviation of the mean, n=4. Fig. (44). Distributions of scopolamine and lAA in the hairy and adventitious roots determined by ELISA. The hairy and adventitious roots were cultured in MS liquid medium at 25 °C in the dark for 4 weeks. Bars represent standard deviation of the mean, n=4.
This equation satisfies the boundary conditions that as z oo the system takes on the equilibrium values of the order parameter. Taking the square root (determining the signs by noting that ni > n > /i ) and integrating, we find that the profile centered at z = 0 is given by... [Pg.71]

For each pair of values of n and m, the recursion relation gives a secular determinant of order n — m. The roots determine the eigenvalues of the separation constant A and the corresponding c/ which specify the eigenfunctions. [Pg.200]

It has to be stressed that the characteristic roots determining the relaxation to the steady state are not rate coefficients but rather complicated functions of rate coefficients. [Pg.61]

The characteristic roots determine not only the local stability of the rest point but also the nature of the dynamics near this point. Fig. 7.3 (Yablonskii et al., 1991) shows different types of rest points. [Pg.229]

Pope, A. J., and Leigh, R. A., 1987, Some characteristics of anion transport at the tonoplast of oat roots, determined from the effects of anions in pyrophosphate-dependent proton transport, Planta 172 91-100. [Pg.81]

The root A = 0 is a restatement of the condition of conservation of mass. From (5A.7) a certain linear combination of concentrations, yi(t)y is constant. The other roots determine the temporal behavior of the system in terms of the notation of Section 5.2,... [Pg.155]

Numerical results obtained on a notched component made of the same steel of the previous sample problem has given the time history of Fig. 6.37 on the notch root. Determine the... [Pg.350]

The calculation rule for root determination according to the Newton-Raphson method is... [Pg.254]

Figure A. 1. Root determination for f x) by Newton-Raphson iteration. Figure A. 1. Root determination for f x) by Newton-Raphson iteration.
In case if amplitude-frequency characteristics of TF can be expressed through polynomial characteristic equation, stability of the system is determined by value of roots of characteristic equation. There are two rules that can be used in this case ... [Pg.191]

For purposes of exploring fluctuations and determining the convergence of these statistical averages the root mean square (RMSl deviation m x is also computed ... [Pg.312]

Thus, if we knew the second moment of the local density of states we should be able to determine the atomic binding energy via the square root relationship. However, as quantum... [Pg.259]

From the lower root of the equation solved in Problem 8, determine the eigenvalue (energy) for the linear combination in Pioblem 4. This eigenvalue is analogous to the eigenvalue in Eq. (8-16). [Pg.260]

Once a significant difference has been demonstrated by an analysis of variance, a modified version of the f-test, known as Fisher s least significant difference, can be used to determine which analyst or analysts are responsible for the difference. The test statistic for comparing the mean values Xj and X2 is the f-test described in Chapter 4, except that Spool is replaced by the square root of the within-sample variance obtained from an analysis of variance. [Pg.696]

Arabinan. This highly soluble polymer is found in the extracts of many fmits and seeds, in the boiling water extracts of pine wood (127), in the extracts of marshmallow roots (A/t/jaea officina/is) (128), and aspen (63) and willow (Sa/ix a/ba F) (129) bark. Because arabinan can be isolated from mildly degraded pectin fractions, it is often difficult to determine whether it is a hemiceUulose or a labile fragment of a larger polysaccharide and/or lignin complex. Arabinans have a complex stmcture composed almost entirely of 5-linked a-L-arabinofuranosyl units with similar residues linked to them at C-2 and/or C-3 and is soluble in 70% aqueous methanol solution. [Pg.32]

The concentration [MB] constantly experiences tiny fluctuations, the duration of which can determine linewidths. It is also possible to adopt a traditional kinetic viewpoint and measure the time course of such spontaneous fluctuations directly by monitoring the time-varying concentration in an extremely small sample (6). Spontaneous fluctuations obey exactly the same kinetics of return to equiUbrium that describe relaxation of a macroscopic perturbation. Normally, fluctuations are so small they are ignored. The relative ampHtude of a fluctuation is inversely proportional to the square root of the number of AB entities being observed. Consequently, fluctuations are important when concentrations are small or, more usehiUy, when volumes are tiny. [Pg.513]


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See also in sourсe #XX -- [ Pg.19 ]




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