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 Meeting <https://bluejeans.com/919103457/> (Join from computer or phone) Phone Dial-in +1.408.317.9254<tel:+1.408.317.9254> (US (San Jose)) +1.866.226.4650<tel:+1.866.226.4650> (US Toll Free) (Global Numbers<https://www.bluejeans.com/premium-numbers>) Meeting ID: 919 103 457 *************************************** Samantha L Tezak Executive Assistant, CPS Division Argonne National Laboratory 9700 S. Cass Avenue Lemont, IL 60439 Tel: (630) 252-6250 E-mail: [email protected]<mailto:[email protected]> **************************************** P Please consider the environment before printing this e-mail