Covers sparse and low-rank models for efficient data representation and analysis
Includes convex and non-convex formulations to address a wide range of problems
Provides code available online for hands-on experimentation and learning
Offers numerous examples and exercises to reinforce theoretical concepts
Suitable for senior and graduate students in computer science, data science, and electrical engineering
Summarized by Shop
This textbook provides a comprehensive introduction to mathematical models for high-dimensional data analysis,covering principles,algorithms,and applications,with code available online. It is ideal for students in computer science,data science,and electrical engineering,and those studying sparsity,low-dimensional structures,and high-dimen