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Amplification of errors

Although this solution appears to be straightforward, it is well documented in the lilerature [6,8-10] that small errors in p, (i.e., quadrature and experimental errors) result in large errors in p. The amplification of errors occurs independently of the fact that the inverse of (A A) can be calculated exactly, and it is a direct consequence of the near singularity of the matrix A (if m=n), or more generally (if m>n) of its near incomplete rank. [Pg.272]

For the one-dimensional problem, integrated with a forward Euler scheme, the amplification of errors was found to be... [Pg.176]

Errors in advection may completely overshadow diffusion. The amplification of random errors with each succeeding step causes numerical instability (or distortion). Higher-order differencing techniques are used to avoid this instability, but they may result in sharp gradients, which may cause negative concentrations to appear in the computations. Many of the numerical instability (distortion) problems can be overcome with a second-moment scheme (9) which advects the moments of the distributions instead of the pollutants alone. Six numerical techniques were investigated (10), including the second-moment scheme three were found that limited numerical distortion the second-moment, the cubic spline, and the chapeau function. [Pg.326]

The true energy scale of the y-spectrum in units of keV usually cannot be derived directly from the pulse height spectrum because the overall amplification of the detection system is not known. Therefore, the y-lines eventually have to be identified by trial and error when a new system is set up by checking for the occurrence of the Mossbauer effect. [Pg.37]

The condition number is always greater than one and it represents the maximum amplification of the errors in the right hand side in the solution vector. The condition number is also equal to the square root of the ratio of the largest to the smallest singular value of A. In parameter estimation applications. A is a positive definite symmetric matrix and hence, the cond ) is also equal to the ratio of the largest to the smallest eigenvalue of A, i.e.,... [Pg.142]

Use hot-start tubes and assemble the bottom and top part of the reaction for second-strand synthesis and amplification of the DNA template by error-prone PCR. Hot-start PCR is the PCR technique of assembling the reaction mixture at a temperature that is greater than the annealing temperature. This procedure increases precision, yield, and specificity. The pre-adhered wax bead assures synchronous reaction start-up and eliminates the need for using mineral oil. [Pg.27]

Fig. 7. A simulation of the Hamiltonian identification concept in Fig. 6 for a 10-state quantum system, with the observations being state populations. The data errors were taken as 1%. The closed loop optimal inversion was capable of finding a single experiment, which dramatically filtered out the data noise to produce Hamiltonian matrix elements with an order of magnitude better quality than that of the data noise. In contrast, a standard inversion involving 5000 observations gave significantly poorer results, including amplification of the laboratory noise. Fig. 7. A simulation of the Hamiltonian identification concept in Fig. 6 for a 10-state quantum system, with the observations being state populations. The data errors were taken as 1%. The closed loop optimal inversion was capable of finding a single experiment, which dramatically filtered out the data noise to produce Hamiltonian matrix elements with an order of magnitude better quality than that of the data noise. In contrast, a standard inversion involving 5000 observations gave significantly poorer results, including amplification of the laboratory noise.
Which of the three criteria is chosen is very much dependent upon the characteristics of the system. If the controlled variable response exhibits large deviations (i.e. there are large errors), then use of the ISE function will lead to the determination of controller parameters which will give the best control characteristics. As the errors are squared, minimisation of the ISE will be particularly effective. Use of the IAE function will suppress small errors better than will the ISE criterion as it treats errors of all magnitudes in a uniform manner. The ITAE function should be employed where there are persistent errors since this will lead to an amplification of the effect (and thus a weighted influence on the consequent estimation of the controller parameters) of the latter at large values of f. [Pg.637]

Fusion PCR was a successful but not very efficient method because it involved two successive PCR reactions, which can introduce errors into the gene. Amplification of the fusion product can be difficult when the overlapping region of the mutation features a low melting temperature. [Pg.284]

It is often observed that when PCR products from ancient remains are cloned, they contain a large number of random substitutions which are believed to be due to damage present in extracted DNA.10 When this error frequency is compared to that of a control template of modem, presumably undamaged DNA, the increased number of errors itself may indicate that the PCR products stem from a damaged template and thus that it likely represents an old sequence.13 However, it should be remembered that if the presumed ancient sequence in reality stems from a contaminating modem sequence present in only a few copies, the PCR product will have gone through many more cycles of polymerization before the plateau phase of the amplification is reached. For example, if an amplification product contains twice as many errors as a control DNA amplified for 30 cycles, that result could be due to errors in the initial template or to the presence of template in a 10- to 100-fold lower concentration (A. von Haeseler and S. Paabo, unpublished, 1991). Thus, because the concentration of ancient DNA is hard or impossible to determine accurately, error rates in amplification products may be difficult to use as a criterion of authenticity. [Pg.418]

Control-System Components The three principal elements of a control system are the sensing device which measures the error as the deviation from the set point, means for transmission and amplification of the error signal, and the control output device in the form of a servo-operated valve. In the case of the direct-acting flyhall governor (Fig. 29-18) these three elements are combined in the flyball element and the linkage that connects to the valve. [Pg.2254]

In principle, Fourier analysis does not suffer from these shortcomings. By calculating the amplitude ratios and the phase lags for a series of frequencies, an unlimited number of equations can be obtained for the calculation of the transport parameters. However, due to the interactions that take place between the transport parameters at low frequencies and to the amplification of the experimental errors that take place at high frequencies, the advantages of the Fourier analysis on the method of moments are quite limited. Boersma-Klein et al. [85] carried... [Pg.326]


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See also in sourсe #XX -- [ Pg.253 ]

See also in sourсe #XX -- [ Pg.395 ]




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Errors amplification

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