64 resultados para convergence of numerical methods
Resumo:
An experiment to quantify intra- and interobserver error in anatomical measurements found that interobserver measurements can vary by over 14% of mean specimen length; disparity in measurement increases logarithmically with the number of contributors; instructions did not reduce variation or measurement disparity; scale of the specimen influenced the precision of measurement (relative error increasing with specimen size); different methods of taking a measurement yielded different results, although they did not differ in terms of precision, and topographical complexity of the elements being considered may potentially influence error (error increasing with complexity). These results highlight concerns about introduction of noise and potential bias that should be taken into account when compiling composite datasets and meta-analyses.
Resumo:
An algorithm is presented which generates pairs of oscillatory random time series which have identical periodograms but differ in the number of oscillations. This result indicates the intrinsic limitations of spectral methods when it comes to the task of measuring frequencies. Other examples, one from medicine and one from bifurcation theory, are given, which also exhibit these limitations of spectral methods. For two methods of spectral estimation it is verified that the particular way end points are treated, which is specific to each method, is, for long enough time series, not relevant for the main result.
Resumo:
We prove a continuity result for the map sending a masa-bimodule to its support. We characterise the convergence of a net of weakly closed convex hulls of bilattices in terms of the convergence of the corresponding supports, and establish a lower-semicontinuity result for the map sending a support to the corresponding masa-bimodule.
Resumo:
The convergence of the iterative identification algorithm for a general Hammerstein system has been an open problem for a long time. In this paper, it is shown that the convergence can be achieved by incorporating a regularization procedure on the nonlinearity in addition to a normalization step on the parameters.
Resumo:
This article gives an extensive overview of the wide range of analytical procedures developed for the detection of amphenicol antibiotic residues (chloramphenicol, thiamphenicol, and florfenicol) in many different types of foodstuffs (milk, meat, eggs, honey, seafood). Screening methods such as microbial inhibition methods, antibody-based immunoassays using conventional and biosensor-based detection systems, and some methods based on alternative recognition systems are described. The relative advantages and disadvantages of these methods are discussed and compared. The current status and future trends and developments in the need for accurate and rapid detection of this group of antimicrobials are also discussed.