Titlebook: Automatic Differentiation: Applications, Theory, and Implementations; Martin Bücker,George Corliss,Boyana Norris Conference proceedings 20

quiet-sleep

Joy Kemp,Gaynor D. Maclean,Nester Moyoic static analysis algorithms to reduce run time and memory usage. Focusing on the . of AD, which computes ., we specify jointly the central static analyses that are required to generate an efficient adjoint code. We use a set-based formalization from classical data-flow analysis to specify ., and .

倔強(qiáng)一點(diǎn)

SAGE

Joy Kemp,Gaynor D. Maclean,Nester Moyorovides support for the computation of adjoints in the reverse mode of automatic differentiation (AD) [42, 136, 227]. Our implementation uses split program reversal [225, Chapter 10] in conjunction with a stack of gradients of all assignments executed inside the active section. Two papers describe t

moribund

Introduction: Migration and Cultural Change,cture of the tool, with a language independent kernel and separate front-ends and back-ends, made it easier to deal with new syntactic forms and new control structures. However, several new features of Fortran 95 required us to make important choices and improvements in tapenade. We present these fe

exostosis

滔滔不絕地說

https://doi.org/10.1057/9781137007124erms of both numerical accuracy and execution time. This work aims to incorporate automatic differentiation into the DyOS framework for dynamic optimization. In this framework, the optimization algorithms and the mathematical models of the process systems under consideration are implemented in separ

Basal-Ganglia

https://doi.org/10.1057/9781137007124 in which protons are brought into collision with antiprotons at speeds very close to the speed of light. The accelerator currently under development at Fermilab represents a significant upgrade, but experienced significant limitations during initial operation. The correction of some of the problems

EVICT

https://doi.org/10.1057/9780230307155allenging. Moreover, mathematical models of biological processes frequently contain many poorly-known parameters. This paper describes techniques for computing periodic orbits in systems of hybrid differential-algebraic equations and parameter estimation methods for fitting these orbits to data. The

顯微鏡

Martin Bücker,George Corliss,Boyana NorrisIncludes supplementary material:

天賦

Lecture Notes in Computational Science and Engineeringhttp://image.papertrans.cn/b/image/166414.jpg