Hello SymPy developers,
I am excited to share my interest in contributing to SymPy by enhancing its capabilities in multivariate polynomial arithmetic and factorization. Currently, SymPy utilizes Kronecker's method for multivariate polynomial factorization, which, while a solid foundation, lacks the efficiency needed for practical applications. I propose implementing more advanced algorithms, such as Wang's EEZ-GCD or Gao's approach using partial differential equations, to boost the efficiency and usability of multivariate polynomial operations in SymPy. My main question is: Does expanding SymPy's support for efficient multivariate polynomial arithmetic and factorization fit within the project's current development roadmap and priorities? If this aligns with SymPy's objectives, I am eager to contribute to this initiative. I have a strong background in algebra and computational mathematics, which I believe will be valuable in addressing this challenge. I am ready to delve into the implementation details, research state-of-the-art algorithms, and develop a concrete plan to integrate these enhancements into SymPy. To help facilitate this process, I would greatly appreciate any guidance on: Recommended resources or existing work within SymPy that I should review Thank you for your time and consideration. I look forward to your response and am excited about the opportunity to contribute to SymPy's development. Best regards, Pratyksh Gupta. -- You received this message because you are subscribed to the Google Groups "sympy" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion visit https://groups.google.com/d/msgid/sympy/8d38e2ee-bdc5-416b-a50c-bfb993558127n%40googlegroups.com.
