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Approximation Theory and Algorithms for Data Analysis

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  • 368 pages
  • 13 hours of reading

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Focusing on the theory and numerics of approximation methods, this textbook merges classical concepts with contemporary advancements in mathematical signal processing. It emphasizes a constructive approach, highlighting the development of numerical algorithms essential for data analysis. This blend of traditional and modern techniques makes it a valuable resource for understanding both foundational and cutting-edge topics in the field.

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Approximation Theory and Algorithms for Data Analysis, Armin Iske

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Released
2019
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(Hardcover)
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