AD Tool: ADMAT / ADMIT
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ADMAT / ADMIT


Summary:
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.

URL: http://www.cayugaresearch.com

Developers:
  • Thomas Coleman
  • Arun Verma
  • Wei Xu

Mode: Forward
Reverse
 
Method: Operator overloading
 
Supported Language: MATLAB

Reference:
Thomas F. Coleman, Arun Verma
ADMAT: An Automatic Differentiation Toolbox for MATLAB
Computer Science Department, Cornell University, 1998

Thomas F. Coleman, Arun Verma
ADMIT-1: Automatic Differentiation and MATLAB Interface Toolbox
Article in ACM Transactions on Mathematical Software, 2000

Arun Verma
ADMAT: Automatic Differentiation in MATLAB Using Object Oriented Methods
Conference proceeding, Object Oriented Methods for Interoperable Scientific and Engineering Computing: Proceedings of the 1998 SIAM Workshop, SIAM, 1999



Features:
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 in ADMAT 2.0. When the Jacobian and Hessian matrices are sparse, the included package ADMIT-1 provides another efficient way to compute the Jacobian and Hessian matrices. You need only supply a M-function to be differentiated and ADMIT-1 will exploit the sparsity of the present function to yield sparse derivative matrices (in sparse Matlab form). ADMIT-1 also allows for the calculation of gradients and has several other related functions. Note that ADMIT-1 is much faster than forward or reverse mode when Jacobian matrices has the same structure but need to be evaluated at different points

Supported Platforms:
  • Windows
  • Unix/Linux


Licensing: free with restrictions

References on ADMAT / ADMIT in our publication database:  4

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'98 '99 '00
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