Add to ORKGAn object-oriented method is presented that generates derivatives of functions defined by MATLAB computer codes. The method uses operator overloading to-gether with forward mode automatic differentiation and produces a new MATLAB code that computes the derivatives of the outputs of the original function with respect to the variables of differentiation. The method can be used recursively to generate derivatives of any order that are desired and has the feature that the derivatives of a function are generated simply by evaluating the function on an instance of the class. The method is described briefly and is demonstrated on an example. I
Automatic dierentiation is a powerful technique for evaluating derivatives of functions given in the...
The ADiMat software is a tool that offers Automatic Differentiation of any Matlab function using a ...
Automatic dierentiation is introduced as a powerful technique to compute deriva-tives of functions g...
An object-oriented method is presented that computes without truncation error derivatives of functio...
A new object-oriented method is presented for generating analytic derivatives of func-tions defined ...
The interactive programming environment MATLAB is increasingly gaining popularity by enabling the us...
The Mad package described here facilitates the evaluation of first derivatives of multi-dimensional...
Automatic differentiation of third order derivatives is implemented in C++. The implementation uses ...
We present an example of the science that is enabled by object-oriented programming techniques. Scie...
Operator overloading in Matlab allows for user-defined types to semantically augment existing Matlab...
Abstract: Numerical approaches of ordinary differential equations (ODEs) usually require Jacobian ev...
Abstract. This report describes MSAD, a tool that applies source transformation automatic differenti...
AbstractIn a recent paper an algorithm FEED was introduced for the systematic exact evaluation of hi...
Mad is a Matlab library of functions and utilities for the automatic differentiation of Matlab func-...
In mathematics and computer algebra, automatic differentiation (AD) is a set of techniques to evalua...
Automatic dierentiation is a powerful technique for evaluating derivatives of functions given in the...
The ADiMat software is a tool that offers Automatic Differentiation of any Matlab function using a ...
Automatic dierentiation is introduced as a powerful technique to compute deriva-tives of functions g...
An object-oriented method is presented that computes without truncation error derivatives of functio...
A new object-oriented method is presented for generating analytic derivatives of func-tions defined ...
The interactive programming environment MATLAB is increasingly gaining popularity by enabling the us...
The Mad package described here facilitates the evaluation of first derivatives of multi-dimensional...
Automatic differentiation of third order derivatives is implemented in C++. The implementation uses ...
We present an example of the science that is enabled by object-oriented programming techniques. Scie...
Operator overloading in Matlab allows for user-defined types to semantically augment existing Matlab...
Abstract: Numerical approaches of ordinary differential equations (ODEs) usually require Jacobian ev...
Abstract. This report describes MSAD, a tool that applies source transformation automatic differenti...
AbstractIn a recent paper an algorithm FEED was introduced for the systematic exact evaluation of hi...
Mad is a Matlab library of functions and utilities for the automatic differentiation of Matlab func-...
In mathematics and computer algebra, automatic differentiation (AD) is a set of techniques to evalua...
Automatic dierentiation is a powerful technique for evaluating derivatives of functions given in the...
The ADiMat software is a tool that offers Automatic Differentiation of any Matlab function using a ...
Automatic dierentiation is introduced as a powerful technique to compute deriva-tives of functions g...