Location: Grenoble, France
Member since: October 2013
R&D Electrical Enginner
R&D Computer Engineer...
Java SE (7 years)<br />C/C++ (7 years)<br />Maven (4 years)<br />OSGi (4 years)<br />Eclipse RCP (3 years)<br />Netbeans platform<br />Automatic Differention with Adolc-C (6 years)<br />Non-Linear Gradient based Optimization (6 years)<br />Electrical/electromagnetic machines and actuators sizing and simulation<br />Power Systems simulation and analysis
Phd electrical engineering
Institut national polytechnique de Grenoble
Automatic Differentiation for Sensitivity Calculation in Electromagnetism: Application for Optimization of a Linear Actuator
IEEE Transactions on Magnetics
Automatic Differentiation (AD) is introduced as a powerful technique to compute derivatives of functions given in the form of<br />computer programs, in high level programming languages such FORTRAN, C or C++. The paper applies AD to compute error-free<br />gradients of electromagnetic device sizing models. Then, the obtained gradients are exploited in optimization to size electromagnetic<br />devices by means of minimizing a cost function with constrained parameters and performances. Often, the electromagnetic devices
The user has not yet taken any exams.
R&D Electrical Enginner R&D Computer Engineer
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