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linear-algebra-applications
Apply linear algebra concepts to research computing and data analysis
skills/domains/math/linear-algebra-applications/SKILL.md
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# Applied Linear Algebra for Research
A skill for applying linear algebra to research computing, data analysis, and scientific modeling. Covers matrix decompositions, eigenvalue problems, least squares, dimensionality reduction, and practical implementation in NumPy/SciPy.
## Essential Operations
### Matrix Multiplication and Solving Systems
```python
import numpy as np
from scipy import linalg
def solve_linear_system(A: np.ndarray, b: np.ndarray) -> dict: