The progress of computer and numerical technique in recent years allows us not only complex numerical simulation but also resolution of inverse problems. It is important to pursue higher and higher quality of gradient computation (it is called sensitivity analysis) in inverse problem and this is the most bone-crushing point. In this study, the authors will propose the forward mode automatic differentiation as a new approach to the parameter identification problems. Forward mode automatic differentiation computes the partial derivatives according to the differentiation rules of a composite function whenever basic operation is performed
A large number of physical phenomena are modeled by a system of ODEs or a system of implicit ODEs. ...
In resent years, the progress of computer and numerical computation technique allows not only comple...
This article provides an overview of some of the mathematical prin- ciples of Automatic Differentia...
In resent years, the progress of computer and numerical computation technique allows not only comple...
It is important to compute exact value of the gradient in the inverse problem. In case that the prob...
La méthode des éléments finis permet de déterminer les états de contrainte à l'intérieur d'une struc...
Automatic differentiation (AD) is the technique whereby output variables of a computer code evaluati...
This paper collects together a number of matrix derivative results which are very useful in forward ...
Emerging tools for automatic differentiation (AD) of computer programs should be of great benefit fo...
Automatic Differentiation is a computational technique that allows the evaluation of derivatives of ...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/1...
International audienceSensitivity matrix evaluation in gradient method for inverse analysis is a maj...
Automatic differentiation is a technique of computing the derivative of a function or a subroutine w...
The progress of computer and numerical technique in recent years allows us not only complex numerica...
The finite element method allows for the determination of the states of the stress in a mechanical s...
A large number of physical phenomena are modeled by a system of ODEs or a system of implicit ODEs. ...
In resent years, the progress of computer and numerical computation technique allows not only comple...
This article provides an overview of some of the mathematical prin- ciples of Automatic Differentia...
In resent years, the progress of computer and numerical computation technique allows not only comple...
It is important to compute exact value of the gradient in the inverse problem. In case that the prob...
La méthode des éléments finis permet de déterminer les états de contrainte à l'intérieur d'une struc...
Automatic differentiation (AD) is the technique whereby output variables of a computer code evaluati...
This paper collects together a number of matrix derivative results which are very useful in forward ...
Emerging tools for automatic differentiation (AD) of computer programs should be of great benefit fo...
Automatic Differentiation is a computational technique that allows the evaluation of derivatives of ...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/1...
International audienceSensitivity matrix evaluation in gradient method for inverse analysis is a maj...
Automatic differentiation is a technique of computing the derivative of a function or a subroutine w...
The progress of computer and numerical technique in recent years allows us not only complex numerica...
The finite element method allows for the determination of the states of the stress in a mechanical s...
A large number of physical phenomena are modeled by a system of ODEs or a system of implicit ODEs. ...
In resent years, the progress of computer and numerical computation technique allows not only comple...
This article provides an overview of some of the mathematical prin- ciples of Automatic Differentia...