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Flag of France Grenoble, France
Member since October, 2013
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R&D Electrical Enginner R&D Computer Engineer
$30 USD/hr
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R&D Enginner

Apr 2011

Java SE (7 years) C/C++ (7 years) Maven (4 years) OSGi (4 years) Eclipse RCP (3 years) Netbeans platform Automatic Differention with Adolc-C (6 years) Non-Linear Gradient based Optimization (6 years) Electrical/electromagnetic machines and actuators sizing and simulation Power Systems simulation and analysis


Phd electrical engineering

2006 - 2009 (3 years)


None (2013)


Automatic Differentiation for Sensitivity Calculation in Electromagnetism: Application for Optimization of a Linear Actuator

Automatic Differentiation (AD) is introduced as a powerful technique to compute derivatives of functions given in the form of computer programs, in high level programming languages such FORTRAN, C or C++. The paper applies AD to compute error-free gradients of electromagnetic device sizing models. Then, the obtained gradients are exploited in optimization to size electromagnetic devices by means of minimizing a cost function with constrained parameters and performances. Often, the electromagnetic devices


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