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Analysis of Approximate Inverses in Tomography II. Iterative Inverses
Optimization and Engineering, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Termination Analysis by Program Inversion
2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2008Automatic methods for discovering program runtime and proving program termination have always been a challenging problem in computer science. We present here a novel and systematic approach for calculating an upper bound of the maximum runtime of functions for a non-trivial class of programs.
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Perturbation Analysis of the Drazin Inverse and the Group Inverse
2018Having studied the perturbation of the M-P inverse and the weighted M-P inverse, we now turn to the perturbation analysis of the Drazin and group inverses.
Guorong Wang, Yimin Wei, Sanzheng Qiao
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1993
The discussion and analysis in this initial chapter will be purely synchronic in nature. Our goal here is to develop and motivate an analytic framework in terms of which we can discuss the synchronic and diachronic phenomena of verb-placement throughout the rest of the book.
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The discussion and analysis in this initial chapter will be purely synchronic in nature. Our goal here is to develop and motivate an analytic framework in terms of which we can discuss the synchronic and diachronic phenomena of verb-placement throughout the rest of the book.
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Formal analysis of the inverse
2023Abstract This chapter presents a generative analysis of the Algonquian inverse. The key proposal is that the inverse agreement pattern arises whenever the Infl head agrees only with the object and the Voice head lacks agreement features. In inverse voice contexts, this configuration results from the use of a special “ergative” Voice head,
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A critical analysis of linear inverse solutions to the neuroelectromagnetic inverse problem
IEEE Transactions on Biomedical Engineering, 1998This paper explores the possibilities of using linear inverse solutions to reconstruct arbitrary current distributions within the human brain. We formally prove that due to the underdetermined character of the problem, the only class of measurable current distributions that can be totally retrieved are those of minimal norm.
Grave de Peralta-Menendez R +1 more
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Interval Analysis as applied to inverse scattering
Proceedings of the 2012 IEEE International Symposium on Antennas and Propagation, 2012An innovative strategy based on Interval Analysis (IA) is presented to the solution of inverse scattering problems. First, the inverse problem is recast to an optimization one through the definition of a suitable function to be minimized which evaluates the misfit between the measured and the reconstructed field data according to the arithmetic of ...
Carlin, Matteo +3 more
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The inverse uncertainty analysis
Annals of Nuclear Energy, 1988Abstract Uncertainty analysis is a method or methods for determining the uncertainties of given responses due to uncertainties in the input parameters. An inverse uncertainty analysis is a method or methods for determining the uncertainties of the input parameters due to the uncertainties of given responses.
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Statistical Inverse Analysis for a Network Microsimulator
Technometrics, 2005CORSIM, a microsimulator for vehicular traffic, is being studied with respect to its ability to successfully model and predict behavior of traffic in a 36-block section of Chicago. Inputs to the simulator include information about street configuration, driver behavior, traffic light timing, turning probabilities at each intersection, and distributions ...
German Molina +2 more
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Journal of Biotechnology, 1999
Flux analysis has been dealing with the calculation of internal fluxes using external measurements. Although it provides useful insight, the analysis has little predictive power. Building on the existing analysis, inverse flux analysis was developed, which aims to predict the flux distribution based on intrinsic regulatory constraints. It is known that
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Flux analysis has been dealing with the calculation of internal fluxes using external measurements. Although it provides useful insight, the analysis has little predictive power. Building on the existing analysis, inverse flux analysis was developed, which aims to predict the flux distribution based on intrinsic regulatory constraints. It is known that
openaire +1 more source