This presentation showcases the Wolfram Language as a unified solution for math research and teaching. Find out how you can leverage our ready-to-use automated equation solver and modeling toolkit to elevate your mathematical research workflow. Dr. Eric Dolores-Cuenca, a researcher at Yonsei University, will demonstrate how he used Mathematica to study combinatorics. At the end of the session, you'll have the opportunity to ask our experts about the specific functions and features that interest you.
Technology vision keynote, an overview of the Wolfram tech stack in the mathematics context
"New Identities in Combinatorics Discovered with Help from Mathematica Software" by Eric Dolores-Cuenca, researcher at Yonsei University
"The Newest Features in Equation Solving and Symbolic Optimization" by Adam Strzebonski, symbolic algorithms developer at Wolfram Research
Q&A with the Wolfram experts
Wolfram Webinar Team
Wolfram Certified Instructor
Researcher at Yonsei University
Specializes in combinatorics with homological algebra methods, generative adversarial network (GAN) in machine learning.
Co-winner of the European Union–sponsored competition Adaptation using music and animations to help people understand numerical data as water pollution.