文库 行业资料 AI

High-Dimensional Data Analysis with Low-Dimensional Models_ Principles, Computation, and Applications_John Wright, Yi Ma.pdf

AI PDF   730页   下载0   2026-01-25   浏览12   收藏0   点赞0   评分-   1470028字   免费文档
温馨提示:当前文档最多只能预览 5 页,若文档总页数超出了 5 页,请下载原文档以浏览全部内容。
High-Dimensional Data Analysis with Low-Dimensional Models_ Principles, Computation, and Applications_John Wright, Yi Ma.pdf 第1页
High-Dimensional Data Analysis with Low-Dimensional Models_ Principles, Computation, and Applications_John Wright, Yi Ma.pdf 第2页
High-Dimensional Data Analysis with Low-Dimensional Models_ Principles, Computation, and Applications_John Wright, Yi Ma.pdf 第3页
剩余725页未读, 下载浏览全部
High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications JOHN WRIGHT (Columbia University) YI MA (University of California, Berkeley) This material will be published by Cambridge University Press asHigh-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applicationsby John Wright and Yi Ma. This pre-publication version is free to view and download for personal use only, and is not for redistribution, re-sale or use in derivative works. CopyrightãCambridge University Press 2018. To Mary, Isabella, and Mingshu (J.W.) To Henry, Barron, and Diana, and in memory of my father (Y.M.) Foreword I recall a moment, perhaps ten or fteen years ago, of prodigious scienti c ac- tivity. To give our reader a sense of this blessed time, consider a series of regular scienti c workshops, each involving at most forty participants. Despite the small size and almost intimate nature of these workshops, they brought together an energized and enthusiastic mix of people from an array of disciplines, including mathematics, computer science, engineering, and the life sciences. What a privi- lege to be in a room with mathematicians such as Terence Tao and Roman Ver- shynin and learn about high-dimensional geometry; with applied mathematicians and engineers such as David Donoho, Joel Tropp, Thomas Strohmer, Michael Elad, and Freddy Bruckstein and learn about the power of algorithms; with sta- tistical physicists such as Andrea Montanari and learn about phase transitions in large stochastic systems. What a privilege to learn about fast numerical meth- ods for large-scale optimization from computer scientists such as Stephen Wright and Stanley Osher. What a privilege to learn about compressive optical systems from David Brady and Richard Baraniuk and Kevin Kelly (of single-pixel camera fame); about compressive analog-to-digital conversion and wideband spectrum sensing from Dennis Healy, Yonina Eldar, and Azita Emami N
High-Dimensional Data Analysis with Low-Dimensional Models_ Principles, Computation, and Applications_John Wright, Yi Ma.pdf