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Adjoint Algorithmic Differentiation (AAD) Masterclass
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In this two-day course, attendees discuss the mathematical foundations for adjoints methods, algorithmic differentiation (AD) as a general computational technique for the efficient calculation of price sensitivities, and the use of AD software as a way to generate the adjoint code. Focus will be placed on its application to Monte Carlo methods for SDEs and finite difference methods for PDEs.
Location London, UK

Additional Information about this event:

From Wednesday 21 March 2018 -  08:30am
To Thursday 22 March 2018 - 05:00pm
   
Official Event Website: more info
Number of expected attendees: Not defined
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