Institute for Systems Research Technical Reports

Permanent URI for this collectionhttp://hdl.handle.net/1903/4376

This archive contains a collection of reports generated by the faculty and students of the Institute for Systems Research (ISR), a permanent, interdisciplinary research unit in the A. James Clark School of Engineering at the University of Maryland. ISR-based projects are conducted through partnerships with industry and government, bringing together faculty and students from multiple academic departments and colleges across the university.

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Author: search.filters.author.Liu, Mingyan D.Subject: search.filters.subject.automatic differentiation

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    Automatic Differentiation for Iterative Process and Its Applications in Network Performance Analysis
    (1997) Liu, Mingyan D.; Baras, John S.; ISR; CSHCN
    In this paper we focus on the application of automatic differentiation (AD)technique on iterative processes. We review some of the results on theconvergence of general iterative processes and the convergence of thederivative code of such iterative processes. We are especially interestedin a class of fixed point iteration problems and we extended some of thoseresults to discuss this class of problems. Finally we apply an AD packageADIC to a network performance evaluation problem for numerical experimentsto get sensitivities of network blocking probabilities w.r.t. networkoffered traffic load.