Hello SymPy Community,
My name is *Sai Kumar*, and I am excited to propose improvements to SymPy's solvers as part of my project idea for *Google Summer of Code (GSoC) 2025*. SymPy is a powerful symbolic mathematics library, but its solvers have certain limitations that, if addressed, could enhance their *robustness, efficiency, and usability*. To extend SymPy’s problem-solving capabilities, I propose implementing new solver functionalities, including: 1. *Matrix equation solvers* (e.g., solving equations of the form AX+XB=C ). 2. *Integral equation solvers* (e.g., Fredholm and Volterra integral equations). 3. *Optimization and Diophantine equation solvers* to support a broader range of mathematical problems. These enhancements would make SymPy more versatile for both *symbolic and numerical computations*. I would love to discuss this further and receive feedback from the community on how best to approach these improvements. Looking forward to your insights! Best regards, *Sai Kumar* -- 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/b576e688-97c0-4df6-9448-2e5fdbab6d4bn%40googlegroups.com.
