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> High-Dimensional Data Analysis with Low-Dimensional Models

High-Dimensional Data Analysis with Low-Dimensional Models Principles, Computation, and Applications

Authors

John Wright, Columbia University, New York, Yi Ma, University of California, Berkeley
Published 2022

Description

Connecting theory with practice, this systematic and rigorous introduction covers the fundamental principles, algorithms and applications of key mathematical models for high-dimensional data analysis. Comprehensive in its approach, it provides unified coverage of many different low-dimensional models and analytical techniques, including sparse and low-rank models, and both convex and non-convex formulations. Readers will learn how to develop efficient and scalable algorithms for solving real-world problems, supported by numerous examples and exercises throughout, and how to use the computational tools learnt…

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Key features

  • Bridges the gap between principles and applications of low-dimensional models for high-dimensional data analysis
  • Covers a wide range of application areas
  • Accompanied online by code
  • Foreword by Emmanuel Candès

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