Day 265: Sparse Matrices with SciPy

Learning Objectives

• •**Choose appropriate sparse formats** (CSR, CSC, COO, LIL, DOK)
• •**Construct sparse matrices** efficiently for physics problems
• •**Perform sparse matrix operations** (arithmetic, products)
• •**Solve sparse eigenvalue problems** with `eigsh` and `eigs`
• •**Implement large-scale Hamiltonians** (tight-binding, Hubbard)
• •**Understand memory and performance tradeoffs**
• •**Convert between sparse and dense** as needed

Today's Schedule (7 hours)