Show tools for a specific language:

• Show all
• .NET
• C#
• C/C++
• Delphi
• F#
• Fortran 77/90
• Fortran2003
• Fortran2008
• Fortran2018
• Fortran77
• Fortran95
• FortranCalculus
• Haskell
• Interpreted
• Java
• Julia
• Kotlin
• LLVM
• Language independent
• Lua
• MATLAB
• OpenCL
• Python
• R

Alphabetical List of Tools

• ADiGator  (MATLAB)
  Given a user function program together with information pertaining to the inputs of the program, ADiGator performs source transformation via the overloaded CADA class to generate any order derivative code.
  
  
• ADiMat  (MATLAB)
  ADiMat uses a hybrid approach of source transformation and object orientied programming techniques to compute first and second order derivatives of MATLAB programs.
  
  
• ADMAT / ADMIT  (MATLAB)
  ADMAT 2.0 enables you to differentiate MATLAB functions, and allows you to compute gradients, Jacobian matrices and Hessian matrices of nonlinear maps defined via M-files. Both forward and reverse modes are included.
  
  
• CasADi  (C/C++,MATLAB,Python)
  CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs.
  
  
• INTLAB  (MATLAB)
  INTLAB is Matlab toolbox for self-validating algorithms.
  
  
• TOMLAB /MAD  (MATLAB)
  The package TOMLAB /MAD package introduces automatic differentiation for the MATLAB users by operator overloading. TOMLAB /MAD with the TOMLAB Base Module is complete integration for advanced optimization application with more than 100 algorithms available. MAD can also be used as a stand-alone package for the MATLAB user.
  
  
• TOMLAB /TomSym  (MATLAB)
  TomSym uses MATLAB objects and operator overloading to capture MATLAB procedures, and then generates source code for derivatives of any order. TomSym also integrates with the TOMLAB optimization environment to provide an easy-to-use interface for a broad range of optimization problems.