| 书目名称 | Recent Advances in Algorithmic Differentiation | | 编辑 | Shaun Forth,Paul Hovland,Andrea Walther | | 视频video | | | 概述 | Easily accessible explanations that do not require a priori in-depth expertise Covers topics for users, researchers, and tool developers in the algorithmic differentiation area.This collection is the | | 丛书名称 | Lecture Notes in Computational Science and Engineering | | 图书封面 |  | | 描述 | The proceedings represent the state of knowledge in the area of algorithmic differentiation (AD). The 31 contributed papers presented at the AD2012 conference cover the application of AD to many areas in science and engineering as well as aspects of AD theory and its implementation in tools. For all papers the referees, selected from the program committee and the greater community, as well as the editors have emphasized accessibility of the presented ideas also to non-AD experts. In the AD tools arena new implementations are introduced covering, for example, Java and graphical modeling environments or join the set of existing tools for Fortran. New developments in AD algorithms target the efficiency of matrix-operation derivatives, detection and exploitation of sparsity, partial separability, the treatment of nonsmooth functions, and other high-level mathematical aspects of the numerical computations to be differentiated. Applications stem from the Earth sciences, nuclear engineering, fluid dynamics, and chemistry, to name just a few. In many cases the applications in a given area of science or engineering share characteristics that require specific approaches to enable AD capabili | | 出版日期 | Conference proceedings 2012 | | 关键词 | adjoint computation; algorithmic differentiation; optimization; sensitivity analysis; uncertainty quanti | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-30023-3 | | isbn_softcover | 978-3-642-43991-9 | | isbn_ebook | 978-3-642-30023-3Series ISSN 1439-7358 Series E-ISSN 2197-7100 | | issn_series | 1439-7358 | | copyright | Springer-Verlag Berlin Heidelberg 2012 |
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发表于 2025-3-21 17:00:12
