Designed for advanced undergraduates studying mathematics, data science, and the physical sciences, this rigorous text helps students transition from basic linear algebra to advanced topics and applications. Readers will appreciate its modern matrix-based approach, clear exposition, 350 numerical and conceptual examples, and 900 exercises.
The study of model spaces is a broad field with connections to complex analysis, operator theory, engineering and mathematical physics. This self-contained text is the ideal introduction for newcomers, quickly taking them through the history of the subject and then pointing towards areas of future research.
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