Date & Time: Oct 4 2019 | 11:15am Location: Chemistry Building, Room 400 Automatic Differentiation (AD) is a general method for obtaining derivatives of arbitrarily complex functions in computer programs. Naturally, such a tool would seem invaluable to computational chemistry applications. Some current developments and limitations of applying AD to quantum chemistry techniques presented in the literature are discussed. Type of Event: Physical Seminar Adam Abbott
