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numpy/linear-algebra/README.md
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## Linear algebra
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1. Construct two symmetric 2x2 matrices **A** and **B**.
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- *Hint: a symmetric matrix can be constructed easily as
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- **Asym** = **A** + **A**^T*
+ *Hint: a symmetric matrix can be constructed easily from a square matrix
+ as **Asym** = **A** + **A**^T*
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2. Calculate the matrix product **C** = **A** * **B** using `numpy.dot()`.
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3. Calculate the eigenvalues of matrix **C** with `numpy.linalg.eigvals()`.
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