Closed gpavanb1 closed 1 month ago
Thank you @gpavanb1 for submitting your proposal! It looks promising, and we’re excited about the possibility of including it in our October 19th meetup. Could you please confirm your availability for in person talk in Hyderabad and also share a photo for the event flyer.
Looking forward to your response! @bhansa
It was great having you as a speaker @gpavanb1 and we hope to see you at our upcoming meetups. The topic was already presented in the October meetup, so we are ready to close this issue.
Title of the talk/workshop SplitFXM - Fast and Robust Boundary Value Problem Solver in Python
Abstract of the talk/workshop SplitFXM is a 1D solver utilizing finite-difference and finite-volume methods to solve complex physical problems. It includes enhancements such as adaptive mesh refinement and support for several ODE integration methods. In addition, it provides a steady-state solver based on Newton method and novel improvements to it, called Split-Newton methods. A key aspect of the solver is the use of Cython to accelerate computationally intensive operations, such as flux calculations and derivative computations. These approaches significantly improve performance, ensuring fast and efficient convergence in problems involving non-linearities and stiff reactions.
Category of the talk/workshop Scientific Computing
Duration (including Q&A) 30 minutes
Level of Audience Intermediate
Speaker Bio Pavan Govindaraju is currently working as Technical Lead at OSI Digital. His primary interests are distributed systems, scientific computing, and machine learning. He was previously an early engineer and Technical Lead at Teachmint, focusing on technical infrastructure in the education sector. Pavan holds a Bachelor's degree from IIT Bombay and a Master's degree from Stanford University.
Email: gpavanb 'at' gmail 'dot' com
Prerequisites(if any) Familiarity with basic Python and fundamentals in numerical methods