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The Efficient Computation Of Sparse Jacobian Matrices Using Automatic Differentiation


The Efficient Computation Of Sparse Jacobian Matrices Using Automatic Differentiation
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The Efficient Computation Of Sparse Jacobian Matrices Using Automatic Differentiation


The Efficient Computation Of Sparse Jacobian Matrices Using Automatic Differentiation
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Author : Thomas Frederick Coleman
language : en
Publisher:
Release Date : 1995

The Efficient Computation Of Sparse Jacobian Matrices Using Automatic Differentiation written by Thomas Frederick Coleman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Differential calculus categories.




Automatic Differentiation In Matlab Using Admat With Applications


Automatic Differentiation In Matlab Using Admat With Applications
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Author : Thomas F. Coleman
language : en
Publisher: SIAM
Release Date : 2016-06-20

Automatic Differentiation In Matlab Using Admat With Applications written by Thomas F. Coleman and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-20 with Science categories.


The calculation of partial derivatives is a fundamental need in scientific computing. Automatic differentiation (AD) can be applied straightforwardly to obtain all necessary partial derivatives (usually first and, possibly, second derivatives) regardless of a code?s complexity. However, the space and time efficiency of AD can be dramatically improved?sometimes transforming a problem from intractable to highly feasible?if inherent problem structure is used to apply AD in a judicious manner. Automatic Differentiation in MATLAB using ADMAT with Applications discusses the efficient use of AD to solve real problems, especially multidimensional zero-finding and optimization, in the MATLAB environment. This book is concerned with the determination of the first and second derivatives in the context of solving scientific computing problems with an emphasis on optimization and solutions to nonlinear systems. The authors focus on the application rather than the implementation of AD, solve real nonlinear problems with high performance by exploiting the problem structure in the application of AD, and provide many easy to understand applications, examples, and MATLAB templates.



Automatic Differentiation Of Algorithms


Automatic Differentiation Of Algorithms
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Author : George Corliss
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-21

Automatic Differentiation Of Algorithms written by George Corliss and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-21 with Computers categories.


Automatic Differentiation (AD) is a maturing computational technology and has become a mainstream tool used by practicing scientists and computer engineers. The rapid advance of hardware computing power and AD tools has enabled practitioners to quickly generate derivative-enhanced versions of their code for a broad range of applications in applied research and development. Automatic Differentiation of Algorithms provides a comprehensive and authoritative survey of all recent developments, new techniques, and tools for AD use. The book covers all aspects of the subject: mathematics, scientific programming (i.e., use of adjoints in optimization) and implementation (i.e., memory management problems). A strong theme of the book is the relationships between AD tools and other software tools, such as compilers and parallelizers. A rich variety of significant applications are presented as well, including optimum-shape design problems, for which AD offers more efficient tools and techniques.



Computational Methods For Optimal Design And Control


Computational Methods For Optimal Design And Control
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Author : J. Borggaard
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Computational Methods For Optimal Design And Control written by J. Borggaard and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.


This volume contains the proceedings of the Second International Workshop on Optimal Design and Control, held in Arlington, Virginia, 30 September-3 Octo ber, 1997. The First Workshop was held in Blacksburg, Virginia in 1994. The proceedings of that meeting also appeared in the Birkhauser series on Progress in Systems and Control Theory and may be obtained through Birkhauser. These workshops were sponsored by the Air Force Office of Scientific Re search through the Center for Optimal Design and Control (CODAC) at Vrrginia Tech. The meetings provided a forum for the exchange of new ideas and were designed to bring together diverse viewpoints and to highlight new applications. The primary goal of the workshops was to assess the current status of research and to analyze future directions in optimization based design and control. The present volume contains the technical papers presented at the Second Workshop. More than 65 participants from 6 countries attended the meeting and contributed to its success. It has long been recognized that many modern optimal design problems are best viewed as variational and optimal control problems. Indeed, the famous problem of determining the body of revolution that produces a minimum drag nose shape in hypersonic How was first proposed by Newton in 1686. Optimal control approaches to design can provide theoretical and computational insight into these problems. This volume contains a number of papers which deal with computational aspects of optimal control.



Recent Advances In Algorithmic Differentiation


Recent Advances In Algorithmic Differentiation
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Author : Shaun Forth
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-07-30

Recent Advances In Algorithmic Differentiation written by Shaun Forth and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-30 with Mathematics categories.


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 capabilities or provide an opportunity for efficiency gains in the derivative computation. The description of these characteristics and of the techniques for successfully using AD should make the proceedings a valuable source of information for users of AD tools.



Advances In Automatic Differentiation


Advances In Automatic Differentiation
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Author : Christian H. Bischof
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-08-17

Advances In Automatic Differentiation written by Christian H. Bischof and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-17 with Mathematics categories.


The Fifth International Conference on Automatic Differentiation held from August 11 to 15, 2008 in Bonn, Germany, is the most recent one in a series that began in Breckenridge, USA, in 1991 and continued in Santa Fe, USA, in 1996, Nice, France, in 2000 and Chicago, USA, in 2004. The 31 papers included in these proceedings re?ect the state of the art in automatic differentiation (AD) with respect to theory, applications, and tool development. Overall, 53 authors from institutions in 9 countries contributed, demonstrating the worldwide acceptance of AD technology in computational science. Recently it was shown that the problem underlying AD is indeed NP-hard, f- mally proving the inherently challenging nature of this technology. So, most likely, no deterministic “silver bullet” polynomial algorithm can be devised that delivers optimum performance for general codes. In this context, the exploitation of doma- speci?c structural information is a driving issue in advancing practical AD tool and algorithm development. This trend is prominently re?ected in many of the pub- cations in this volume, not only in a better understanding of the interplay of AD and certain mathematical paradigms, but in particular in the use of hierarchical AD approaches that judiciously employ general AD techniques in application-speci?c - gorithmic harnesses. In this context, the understanding of structures such as sparsity of derivatives, or generalizations of this concept like scarcity, plays a critical role, in particular for higher derivative computations.



Siam Journal On Scientific Computing


Siam Journal On Scientific Computing
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Author :
language : en
Publisher:
Release Date : 2007

Siam Journal On Scientific Computing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Mathematical statistics categories.




On The Efficient Methods To Solve Odes And Bvps Using Automatic Differentiation


On The Efficient Methods To Solve Odes And Bvps Using Automatic Differentiation
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Author : Arun Verma
language : en
Publisher:
Release Date : 1996

On The Efficient Methods To Solve Odes And Bvps Using Automatic Differentiation written by Arun Verma and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Boundary value problems categories.




Object Oriented Methods For Interoperable Scientific And Engineering Computing


Object Oriented Methods For Interoperable Scientific And Engineering Computing
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Author : Michael E. Henderson
language : en
Publisher: SIAM
Release Date : 1999-01-01

Object Oriented Methods For Interoperable Scientific And Engineering Computing written by Michael E. Henderson and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-01-01 with Technology & Engineering categories.


Contains papers presented at the October 1998 SIAM Workshop on Object Oriented Methods for Interoperable Scientific and Engineering Computing that covered a variety of topics and issues related to designing and implementing computational tools for science and engineering.



High Performance Computing For Computational Science Vecpar 2006


High Performance Computing For Computational Science Vecpar 2006
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Author : Michel Daydé
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-04-02

High Performance Computing For Computational Science Vecpar 2006 written by Michel Daydé and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-02 with Computers categories.


This book constitutes the thoroughly refereed post-proceedings of the 7th International Conference on High Performance Computing for Computational Science, VECPAR 2006, held in Rio de Janeiro, Brazil, in June 2006. The 44 revised full papers presented together with one invited paper and 12 revised workshop papers cover Grid computing, cluster computing, numerical methods, large-scale simulations in Physics, and computing in Biosciences.