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High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications - Hardcover
Synopsis
Connects fundamental mathematical theory with real-world problems, through efficient and scalable optimization algorithms.
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About the Authors
John Wright is an Associate Professor in the Electrical Engineering Department and the Data Science Institute at Columbia University.
Yi Ma is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He is a Fellow of the IEEE, ACM, and SIAM.
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HIGHDIMENSIONAL DATA ANALYSIS WITH LOW
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HIGH-DIMENSIONAL DATA ANALYSIS WITH LOW-DIMENSIONAL MODELS: PRINCIPLES, COMPUTATION, AND APPLICATIONS
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High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications
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High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications
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High-dimensional Data Analysis With Low-dimensional Models : Principles, Computation, and Applications
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High-dimensional Data Analysis With Low-dimensional Models: Principles, Computation, and Applications
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High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications
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High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications
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High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications
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