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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
- Language
- Released
- 2019
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- (Hardcover)
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- Title
- Approximation Theory and Algorithms for Data Analysis
- Language
- English
- Authors
- Armin Iske
- Publisher
- Springer International Publishing
- Released
- 2019
- Format
- Hardcover
- Pages
- 368
- ISBN13
- 9783030052270
- Category
- Mathematics
- Description
- 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.