Basic concepts of linear algebra. Matrices, determinants, systems of linear equations, vector spaces, linear transformations, and eigenvalues. Prerequisite or corequisite: MATH 132, or 136, or consent ...
Carefully sequenced, exam-style questions and complete worked solutions help students develop fluency with matrix algebra. Contextual problems, including multi-variable sales models, strengthen ...
These pages provide a showcase of how to use Python to do computations from linear algebra. We will demonstrate both the NumPy (SciPy) and SymPy packages. This is meant to be a companion guide to a ...
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