DESCRIPTION

Package: radolc
Type: Package
Title: Provides Automatic Differentiation Capability
Version: 0.1.0
Date: 2018-04-13
Authors@R: c(person("Narayanan", "Sri Hari Krishna", email = "sriharikrishna@gmail.com", role = c("aut", "cre")), 
             person("Bessac", "Julie", email = "", role = "aut"), 
             person("Kulshreshtha", "Kshitij", email = "",role = "aut"),
             person("Banerjee", "Chitrak", email = "", role = "aut"))
Author: Sri Hari Krishna Narayanan, [aut, cre]
Maintainer: Sri Hari Krishna Narayanan <sriharikrishna@gmail.com>
Description: Interfaces the automatic differentiation tool 
  ADOL-C (written in C++) and provides methods to compute derivatives 
  efficiently in using forward mode and reverse (adjoint) mode automatic
  differentiation. The package can be used to compute the gradient, 
  the Jacobian as well the Hessian. Derivatives are useful in the context
  of optimization, parameter estimation, sensitivity analysis, uncertainty
  quantification, etc. 
License: BSD_3_clause
VignetteBuilder: knitr
NeedsCompilation: yes
SystemRequirements: C++11
Imports: knitr, rmarkdown, git2r
Packaged: 2018-04-18 12:36:28 UTC; snarayan
RoxygenNote: 6.1.1
Encoding: UTF-8