Automatic Differentiation

Applications, Theory, and Implementations

By: H. Martin BÃ¼cker (Editor), George Corliss (Editor), Paul Hovland (Editor)

Write A Review

Paperback | 14 December 2005

At a Glance

Paperback
386 Pages

Dimensions(cm)
22.86 x 14.61 x 1.27

Paperback

$329.00

or 4 interest-free payments of $82.25 with

Ships in 5 to 7 business days

The Fourth International Conference on Automatic Di?erentiation was held July20-23inChicago,Illinois.Theconferenceincludedaonedayshortcourse, 42 presentations, and a workshop for tool developers. This gathering of au- matic di?erentiation researchers extended a sequence that began in Breck- ridge, Colorado, in 1991 and continued in Santa Fe, New Mexico, in 1996 and Nice, France, in 2000. We invited conference participants and the general - tomatic di?erentiation community to submit papers to this special collection. The28acceptedpapersre?ectthestateoftheartinautomaticdi?erentiation. The number of automatic di?erentiation tools based on compiler techn- ogy continues to expand. The papers in this volume discuss the implem- tation and application of several compiler-based tools for Fortran, including the venerable ADIFOR, an extended NAGWare compiler, TAF, and TAPE- NADE. While great progress has been made toward robust, compiler-based tools for C/C++, most notably in the form of the ADIC and TAC++ tools, for now operator-overloading tools such as ADOL-C remain the undisputed champions for reverse-mode automatic di?erentiation of C++. Tools for - tomatic di?erentiation of high level languages, including COSY and ADiMat, continue to grow in importance as the productivity gains o?ered by high-level programming are recognized.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.

Defective items

If there is a problem with any of the items received for your order then the Booktopia Customer Care team is ready to assist you.

For more info please visit our Help Centre.

You Can Find This Book In

Non-Fiction Mathematics Calculus & Mathematical Analysis Calculus Applied Mathematics Engineering & Technology Energy Technology & Engineering Electrical Engineering Science Science in General Maths for Scientists Computing & I.T.

Databases Data Capture & Analysis Computer Science Computer Programming & Software Development Software Engineering

Perspectives on Automatic Differentiation: Past, Present, and Future?	p. 1
Backwards Differentiation in AD and Neural Nets: Past Links and New Opportunities	p. 15
Solutions of ODEs with Removable Singularities	p. 35
Automatic Propagation of Uncertainties	p. 47
High-Order Representation of Poincaré Maps	p. 59
Computation of Matrix Permanent with Automatic Differentiation	p. 67
Computing Sparse Jacobian Matrices Optimally	p. 77
Application of AD-based Quasi-Newton Methods to Stiff ODEs	p. 89
Reduction of Storage Requirement by Checkpointing for Time-Dependent Optimal Control Problems in ODEs	p. 99
Improving the Performance of the Vertex Elimination Algorithm for Derivative Calculation	p. 111
Flattening Basic Blocks	p. 121
The Adjoint Data-Flow Analyses: Formalization, Properties, and Applications	p. 135
Semiautomatic Differentiation for Efficient Gradient Computations	p. 147
Computing Adjoints with the NAGWare Fortran 95 Compiler	p. 159
Extension of TAPENADE toward Fortran 95	p. 171
A Macro Language for Derivative Definition in ADiMat	p. 181
Transforming Equation-Based Models in Process Engineering	p. 189
Simulation and Optimization of the Tevatron Accelerator	p. 199
Periodic Orbits of Hybrid Systems and Parameter Estimation via AD	p. 211
Implementation of Automatic Differentiation Tools for Multicriteria IMRT Optimization	p. 225
Application of Targeted Automatic Differentiation to Large-Scale Dynamic Optimization	p. 235
Automatic Differentiation: A Tool for Variational Data Assimilation and Adjoint Sensitivity Analysis for Flood Modeling	p. 249
Development of an Adjoint for a Complex Atmospheric Model, the ARPS, using TAF	p. 263
Tangent Linear and Adjoint Versions of NASA/GMAO's Fortran 90 Global Weather Forecast Model	p. 275
Efficient Sensitivities for the Spin-Up Phase	p. 285
Streamlined Circuit Device Model Development with fREEDA“ãnd ADOL-C	p. 295
Adjoint Differentiation of a Structural Dynamics Solver	p. 309
A Bibliography of Automatic Differentiation	p. 321
References	p. 323
Index	p. 355
Table of Contents provided by Publisher. All Rights Reserved.

Automatic Differentiation

Applications, Theory, and Implementations

At a Glance

Paperback

Shipping

How to return your order

Defective items

You Can Find This Book In

More in Computer Science

Python Crash Course

3rd Edition - A Hands-On, Project-Based Introduction to Programming

The New Age of Sexism

How the AI Revolution is Reinventing Misogyny

Microsoft Power BI For Dummies

For Dummies (Computer/Tech)

Nexus

A Brief History of Information Networks from the Stone Age to AI

The AI Con

How To Fight Big Tech's Hype and Create the Future We Want

AI for Business

A Guide to AI Adoption

Machine Learning For Dummies

For Dummies (Computer/Tech)

Creative Machines

AI, Art & Us

AI in Early Education

Integrating Artificial Intelligence for Inclusive and Effective Learning

Microsoft 365 Excel All-in-One For Dummies

Excel for Dummies

Microsoft 365 Excel For Dummies

For Dummies (Computer/Tech)

AI Engineering

Building Applications with Foundation Models

The Scaling Era

An Oral History of AI, 2019-2025

Hands-On Machine Learning with Scikit-Learn and PyTorch

Concepts, Tools, and Techniques to Build Intelligent Systems

The Coming Wave

AI, Power and the 21st Century's Greatest Dilemma

New Beginnings

why change is so difficult and how to achieve it

Empire of AI

Inside the reckless race for total domination

Python All-in-One For Dummies

3rd Edition

Fundamentals of Electrical and Computer Engineering

Volume I

Fundamentals of Electrical and Computer Engineering

Volume II

The Shortest History of AI

Deep Learning for Intrusion Detection

Techniques and Applications

Digital Healthcare and Artificial Intelligence

A Primer for Clinicians and Students

Digital Healthcare and Artificial Intelligence

A Primer for Clinicians and Students

This product is categorised by