Good afternoon CPS,
Monday’s Division Meeting will include a talk by Krishna Narayanan and Jan Hueckelheim of the MCS Division. The talk, titled “Using Algorithmic Differentiation Tools to Compute Derivatives” will be presented
at 2:00 PM via BlueJeans.
Abstract: Algorithmic or automatic, differentiation (AD or autodiff) is a technique for transforming algorithms that compute some mathematical function into algorithms that
compute the derivatives of that function. AD techniques combine rules for differentiating the functions intrinsic to a given programming language with strategies for applying the chain rule. AD has been used extensively for computing derivatives that are
used for sensitivity analysis, optimization, parameter (state) estimation etc. Derivatives, mostly in the form of gradients and Hessians, are ubiquitous in machine learning as well.
Monday, November 16 @ 2:00 PM
|
(Join from computer or phone) |
Phone Dial-in
+1.408.317.9254 (US (San Jose))
+1.866.226.4650 (US Toll Free)
(Global Numbers)
Meeting ID: 919 103 457
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Samantha L Tezak
Executive Assistant, CPS Division
Argonne National Laboratory
9700 S. Cass Avenue
Lemont, IL 60439
Tel: (630) 252-6250
E-mail: stezak@anl.gov
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