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Here, we make an extensive investigation into the sensitivity of EI estimates to optimization method The intuition behind this sensitivity test is to determine how dependent estimates are on the estimation process used If the results of an analysis are strongly dependent on the choice of method, the author should provide evidence defending that choice To explore EI s sensitivity to changes in optimization method, we return to the examples, varying only the options to the constrained maximum likelihood (CML) Gauss library to vary across 40 combinations of optimization (secant) method, step (line search) method, and numerical derivative methods Note that the claim here is not that all of these optimization methods are necessarily equally appropriate for EI but that there is no justi cation given for using a particular one.

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Pdf library to search for text in PDF files. Here is a sample code: static void searchForText( string path, string text ) { using (PdfDocument pdf  ...

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If a particular method is most appropriate, it should be documented, along with the reasons for its choice and diagnostics for con rming its success Note also that for the most part, the versions of EI examined herein simply adopted the default options of the CML package and that many of these defaults (such as the use of forward differences in earlier versions) are not set solely with accuracy and robustness in mind As with the previous perturbation analyses, the results include the minimum, maximum, and mean values across the 40 replications In a small number of runs for each of the datasets, CML failed to converge properly, almost invariably because the maximum number of iterations had been exceeded These results are excluded in the analysis presented in the third column of Table 72.

1.3 s

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In two cases, MATPROII and NJ, EI estimates are robust to the optimization algorithm used to perform the constrained maximum likelihood estimation In two other cases, CEN1910 and LAVOTE, the ranges of the estimates of standard errors do not cover the published results, even through the estimated coef cients and log-likelihood values are generally near the published results In the remaining three cases, the estimates are sensitive to the optimization method For KYCK88, the CML algorithm encountered fatal errors and the search algorithm was halted prematurely For FULTON, every variation of the search algorithm does not nd the published maximum; the log-likelihood never reaches the value of the published results and the range of the coef cients does not cover the published results For SCSP, EI s estimate of b and w varied by roughly 25% of the possible [0 : 1] range.

Starting with a guess x0, the next point, xn+1, can be found from the previous point, xn, by x n+1 = x n - H -1 f (x n ) (1.17)

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In your ReadPdfFile method, a PdfReader is created to read through every page of the document to find the searchText and the page numbers ...

Even more dramatically, the estimate of log-likelihood varied by a factor of over 1000 Again, there is sensitivity to the optimization method for some but not all of King s examples The recommendation is again for researchers to pay special attention to optimization methods by trying different con gurations, especially when EI diagnostics point to problems with the model itself 733 Pseudo-Random Number Generation King performs CML estimation on a transformation of the variables and then uses simulation rather than analytical methods to transform estimated coef cients into the coef cients of interest to ecological inference (see King 1997, pp 145 49)..

Basic Type-I (R = 3/4) Type-I w PC (R = 3/4) Type-II (R = 3/4 3/8) 5 10 15 20 25 30

Many programmers claim their code is portable and should just compile and run on a new platform. Unfortunately, this is not true in the vast majority of cases, simply because there are too many things to keep track of mentally when dealing with portability issues. No matter how many assurances you are given that a piece of code is portable, always assume it is not. Until the code has been moved and tested on a new platform, you should treat it as non-portable code or portable friendly , which is a more reasonable description for software designed and written with porting in mind but which has not been ported to a new platform.

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search text in PDF - Tallcomponents
3 Nov 2011 ... This article shows how to search a PDF for text in C# using the Document.Find method and the TextFindCriteria and TextMatchEnumerator ...

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