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Focusing on numerical computing, this textbook serves as a comprehensive introduction for applications in science and engineering. It covers foundational topics alongside advanced data analysis methods, including optimization and regression techniques using singular value decomposition. Emphasizing problem-solving, the text features numerous exercises relevant to engineering and science, while also exploring the mathematical theories behind the methods and their computational errors. The latest edition incorporates essential material for upper division courses in computational linear algebra, with accompanying code available on GitHub.
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Introduction to Scientific Computing and Data Analysis, Mark H. Holmes
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- 2024
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