On Automatic Differentiation and Algorithmic Linearization

Pesquisa Operacional - Brazil
doi 10.1590/0101-7438.2014.034.03.0621
Full Text
Abstract

Available in full text

Date
Authors
Publisher

FapUNIFESP (SciELO)

Related search

Adjoints by Automatic Differentiation

2014English

From Rounding Error Estimation to Automatic Correction With Automatic Differentiation

2002English

Improving the Efficiency of Automatic Control Systems Through Simplification of Software and Algorithmic Software

2019English

Review of Algorithmic Differentiation for Cloud Schemes by Baumgartner Et Al

2019English

Sensitivity Analysis of the Meteorological Preprocessor MPP-FMI 3.0 Using Algorithmic Differentiation

Geoscientific Model Development
EarthSimulationPlanetary SciencesModeling
2017English

Sensitivity of Probabilistic Seismic Hazard Obtained by Algorithmic Differentiation: A Feasibility Study

Bulletin of the Seismological Society of America
PetrologyGeochemistryGeophysics
2015English

On Efficient Solutions to the Continuous Sensitivity Equation Using Automatic Differentiation

SIAM Journal of Scientific Computing
Computational MathematicsApplied Mathematics
2000English

Modeling Parameter Sensitivities via Equation-Based Algorithmic Differentiation Techniques: The ADMSL.Electrical.Analog Library

2014English

On Linearization of Lie Group Extensions

Proceedings of the American Mathematical Society
MathematicsApplied Mathematics
1962English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy