Sparse Solutions of Underdetermined Linear Systems (Other Titles in Applied Mathematics) - Softcover

Ming-Jun Lai (author) & Yang Wang (author)

Softcover

ISBN 10: 1611976502 ISBN 13: 9781611976502

Publisher: SIAM - Society for Industrial and Applied Mathematics, 2021

Synopsis

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About this title

About the Author

Ming-Jun Lai is a professor in the Department of Mathematics at the University of Georgia. He is an approximation theorist who specializes on multivariate spline approximation, construction of multivariate wavelets and tight wavelet frames, scattered data interpolation and fitting, construction of smooth curves and surfaces, various approximation methods in numerical analysis such as sparse solutions of underdetermined linear system, numerical solution of partial differential equations, matrix completion methods, and data clustering algorithms. He has published more than 100 refereed journal papers and 36 conference papers, including in six different SIAM Journals. Dr. Lai has been on the editorial board of the journal Applied and Computational Harmonic Analysis and Journal of Applied Numerical Mathematics for many years.

Yang Wang is the Dean of Science and Chair Professor of mathematics at Hong Kong University of Science and Technology. His research spans both pure and applied mathematics, including applied harmonic analysis, signal processing, fractal geometry, tiling and the application of machine learning to various practical applications. He has published over 100 papers in mathematics. He is the co-Editor-in-Chief of the journal Mathematics, Computation and Geometry of Data and is on the editorial board of Applied and Computational Harmonic Analysis and Advances in Computational Math. Dr. Wang has also served as a program director in the US National Science Foundation and is a key founding member of the Big Data Institute of HKUST.

Edition details

• Publisher: SIAM - Society for Industrial and Applied Mathematics
• Publication date: 2021
• Language: English
• ISBN 10: 1611976502
• ISBN 13: 9781611976502
• Binding: Paperback
• Number of pages: 437