TaylUR 3, a Multivariate Arbitrary-Order Automatic Differentiation Package for Fortran 95

Computer Physics Communications - Netherlands
doi 10.1016/j.cpc.2009.10.025
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Elsevier BV

Related search

Simplifying Multivariate Second-Order Response Surfaces by Fitting Constrained Models Using Automatic Differentiation

Technometrics
ModelingApplied MathematicsStatisticsProbabilitySimulation
2005English

Variable Precision Arithmetic: A Fortran 95 Module

Scientific Programming
Computer Science ApplicationsSoftware
2003English

Tmvtnorm: A Package for the Truncated Multivariate Normal Distribution

R Journal
UncertaintyNumerical AnalysisStatisticsProbability
2010English

Reformulation RELAP5-3D in FORTRAN 95 and Results

2010English

Infotheory: A C++/Python Package for Multivariate Information Theoretic Analysis

Journal of Open Source Software
2020English

Using Automatic Differentiation to Create a Nonlinear Reduced-Order-Model Aerodynamic Solver

AIAA Journal
Aerospace Engineering
2010English

MVN: An R Package for Assessing Multivariate Normality

R Journal
UncertaintyNumerical AnalysisStatisticsProbability
2014English

Using Automatic Differentiation to Create a Nonlinear Reduced Order Model Aeroelastic Solver

2008English

DDT: A Research Tool for Automatic Data Distribution in High Performance Fortran

Scientific Programming
Computer Science ApplicationsSoftware
1997English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy