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Titlebook: Recent Advances in Algorithmic Differentiation; Shaun Forth,Paul Hovland,Andrea Walther Conference proceedings 2012 Springer-Verlag Berlin

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書目名稱Recent Advances in Algorithmic Differentiation
編輯Shaun Forth,Paul Hovland,Andrea Walther
視頻videohttp://file.papertrans.cn/823/822601/822601.mp4
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
叢書名稱Lecture Notes in Computational Science and Engineering
圖書封面Titlebook: Recent Advances in Algorithmic Differentiation;  Shaun Forth,Paul Hovland,Andrea Walther Conference proceedings 2012 Springer-Verlag Berlin
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
關(guān)鍵詞adjoint computation; algorithmic differentiation; optimization; sensitivity analysis; uncertainty quanti
版次1
doihttps://doi.org/10.1007/978-3-642-30023-3
isbn_softcover978-3-642-43991-9
isbn_ebook978-3-642-30023-3Series ISSN 1439-7358 Series E-ISSN 2197-7100
issn_series 1439-7358
copyrightSpringer-Verlag Berlin Heidelberg 2012
The information of publication is updating

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Increasing Memory Locality by Executing Several Model Instances Simultaneously,ocality of memory accesses this speeds up the computation on processors using a cache hierarchy to overcome the relative slow memory access. The speedup depends on the model code, the processor, the compiler, and on the number of instances.
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Connections Between Power Series Methods and Automatic Differentiation, predominately applied to problems involving differentiation, and Power series began as a tool in the ODE setting. Three examples are presented to highlight this overlap, and several interesting results are presented.
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Sparse Jacobian Construction for Mapped Grid Visco-Resistive Magnetohydrodynamics,ar, we discuss applying OpenAD to the case of a spatially-adaptive stencil patch that automatically handles differences between the domain interior and boundary, and configuring AD for reduced stencil approximations to the Jacobian. We investigate both scalar and vector tangent mode differentiation,
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