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Download the fantastic book titled Automatic Differentiation in MATLAB Using ADMAT with Applications written by Thomas F. Coleman, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Automatic Differentiation in MATLAB Using ADMAT with Applications", which was released on 20 June 2016. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Science genre.

Summary of Automatic Differentiation in MATLAB Using ADMAT with Applications by Thomas F. Coleman PDF

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 Applicationsödiscusses 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.ö


Detail About Automatic Differentiation in MATLAB Using ADMAT with Applications PDF

  • Author : Thomas F. Coleman
  • Publisher : SIAM
  • Genre : Science
  • Total Pages : 105 pages
  • ISBN : 1611974364
  • PDF File Size : 13,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Automatic Differentiation in MATLAB Using ADMAT with Applications

Automatic Differentiation in MATLAB Using ADMAT with Applications
  • Publisher : SIAM
  • File Size : 41,9 Mb
  • Release Date : 20 June 2016
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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

Automatic Differentiation: Applications, Theory, and Implementations

Automatic Differentiation: Applications, Theory, and Implementations
  • Publisher : Springer Science & Business Media
  • File Size : 55,5 Mb
  • Release Date : 03 February 2006
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Covers the state of the art in automatic differentiation theory and practice. Intended for computational scientists and engineers, this book aims to provide insight into effective strategies for using automatic

Location Estimation from the Ground Up

Location Estimation from the Ground Up
  • Publisher : SIAM
  • File Size : 29,8 Mb
  • Release Date : 17 September 2020
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The location of an object can often be determined from indirect measurements using a process called estimation. This book explains the mathematical formulation of location-estimation problems and the statistical properties

Introduction to High Performance Scientific Computing

Introduction to High Performance Scientific Computing
  • Publisher : SIAM
  • File Size : 35,9 Mb
  • Release Date : 01 March 2019
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Based on a course developed by the author, Introduction to High Performance Scientific Computing introduces methods for adding parallelism to numerical methods for solving differential equations. It contains exercises and

Bits and Bugs

Bits and Bugs
  • Publisher : SIAM
  • File Size : 55,8 Mb
  • Release Date : 08 March 2019
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In scientific computing (also known as computational science), advanced computing capabilities are used to solve complex problems. This self-contained book describes and analyzes reported software failures related to the major

A Software Repository for Orthogonal Polynomials

A Software Repository for Orthogonal Polynomials
  • Publisher : SIAM
  • File Size : 54,7 Mb
  • Release Date : 20 May 2024
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A Software Repository for Orthogonal Polynomials is the first book that provides graphs and references to online datasets that enable the generation of a large number of orthogonal polynomials with

Computational Science - ICCS 2006

Computational Science - ICCS 2006
  • Publisher : Springer
  • File Size : 22,8 Mb
  • Release Date : 10 May 2006
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This is Volume IV of the four-volume set LNCS 3991-3994 constituting the refereed proceedings of the 6th International Conference on Computational Science, ICCS 2006. The 98 revised full papers and 29 revised poster