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- region methods, which are used to globalize convergence, i.e., remove the restriction that the starting ... studied in chapter 4. A local convergence analysis is provided and implementation details are discussed...
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- mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to cite ... monotone sequence of optimal values converges to the global optimum...
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- rigorous analysis of the algorithm for the proposed class of problems yields global convergence...
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- Experiments): The code is useful for analysis and global optimization of very expensive functions ... Visualization of Main Effects and Joint Effects Global minimization of the response in stages ... back to space for the next stage. Global minimization with supplied function of the response ... function evaluation , etc., until a convergence criterion is satisfied...
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- component analysis and three-way PARAFAC factor analysis are examples of bilinear and trilinear least ... iteration converges to a minimum that may be local or global. Local uniqueness...
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- data analysis applications (bibliometric analysis, social network analysis, chemometrics, etc.). Poblano optimizers find local minimizers ... required for all Poblano optimizers. The optimizers converge to a stationary point where the gradient ... strong Wolfe conditions is used to guarantee global convergence of the Poblano optimizers. The optimization...
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- modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework ... efficient optimization procedure, which guarantees convergence to the global optimum, is developed for these...
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- this article, we present a new global structural alignment algorithm, RNAG, to predict consensus secondary ... algorithm, which has a theoretical advantage in convergence time. This algorithm iteratively samples from ... assess the uncertainty of predictions. Results: Our analysis of three publically available datasets showed...
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- LISA) within a Newton-type iteration with globalization on the basis of natural level functions ... inequality constrained problems and provide local convergence theory. In addition we develop a classical ... preconditioner for LISA and prove grid independent convergence of the classical variant for a model ... convergence of the forward problem method. For three regularization approaches to recover convergence our analysis...
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- problems with complementarity constraints We consider global convergence properties of the augmented Lagrangian methods ... MPCC). In the general case, we show convergence to stationary points of the problem under ... general constraint qualifications that are suitable for convergence of the augmented Lagrangian methods, such ... expected to hold and thus special analysis is needed. We next obtain a rather complete...
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