• ADMB

  • Referenced in 11 articles [sw07416]
  • nonlinear optimization problem. Automatic Differentiation Model Builder (ADMB) is a programming framework based on automatic ... basic components and the underlying philosophy of ADMB, with an emphasis on functionality found ... also review the literature in which ADMB has been used, and discuss future development ... ADMB as an open source project. Overall, the main advantages of ADMB are flexibility, speed...
  • TMB

  • Referenced in 15 articles [sw16279]
  • General Random Effect Tool Inspired by ’ADMB’. With this tool, a user should be able...
  • R2admb

  • Referenced in 2 articles [sw08210]
  • R2admb: ADMB to R interface functions. A series of functions to call AD Model Builder ... read the results back into R as ”admb” objects, and provide standard accessors (i.e. coef...
  • PBSadmb

  • Referenced in 1 article [sw07940]
  • PBSadmb: ADMB for R Using Scripts or GUI R Support for ADMB (Automatic Differentiation Model...
  • r4ss

  • Referenced in 1 article [sw22044]
  • fisheries stock assessment modeling platform written in ADMB by Dr. Richard D. Methot...
  • ADOL-C

  • Referenced in 226 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...
  • ADIFOR

  • Referenced in 240 articles [sw02185]
  • ADIFOR is a tool for the automatic differentiation...
  • AMPL

  • Referenced in 579 articles [sw04001]
  • AMPL is a comprehensive and powerful algebraic modeling...
  • TAPENADE

  • Referenced in 122 articles [sw06598]
  • TAPENADE is an Automatic Differentiation Engine developed at...
  • BayesDA

  • Referenced in 1017 articles [sw11008]
  • BayesDA: Functions and Datasets for the book ”Bayesian...