*Quick Intro:* Myself Mahraib Fatima, a third-year Computer Science 
undergraduate and self-paced Machine Learning student, with interest about 
algebraic geometry and complex analysis.

*Previous Knowledge:* I have studied complex analysis, algebraic geometry, 
and Jacobian varieties, which align with the mathematical foundations 
required for this project.

*Project Research:* Since February, I explored SageMath's project list and 
focused on "*Poincaré Normal Form of Riemann matrices.*" I thoroughly read 
and analyzed the research paper on Poincaré's Complete Reducibility 
Theorem, abelian integrals, Riemann surfaces, and topological graphs.

*Learning:* I learnt  about Riemann matrices, theta functions, and their 
reducibility, as described in the paper.

*Implementation Goal:* The project aims to implement Poincaré's theorem in 
SageMath, focusing on decomposing Riemann matrices and reducing associated 
theta functions(As mentioned in project description).

*Ambiguity: *The main challenge lies in translating the paper's theoretical 
algorithms into efficient code, *especially handling edge cases and 
ensuring numerical stability *(mentor guidance required).

*Approach:* I plan to break the implementation into modular steps: Riemann 
matrix decomposition, theta function reduction, and testing.

*Tools:* I will use Python, SageMath, and libraries like NumPy and SymPy 
for computations and symbolic mathematics.

*Outcome:* The project will provide a computational tool for researchers 
and students, along with documentation and examples.

*Motivation:* This project combines my interests in mathematics and 
programming, allowing me to contribute to the SageMath community while 
deepening my knowledge.

Regards,
Mahraib Fatima

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