finelybook
Linear Algebra for Localization: Algorithms, Use Cases, and C++ Implementations
Author(s): Ahmed Al-Muraeb (Author)
- Publisher finelybook 出版社: Chapman and Hall/CRC
- Publication Date 出版日期: February 23, 2026
- Edition 版本: 1st
- Language 语言: English
- Print length 页数: 148 pages
- ISBN-10: 1041073348
- ISBN-13: 9781041073345
Book Description
This book emphasizes the vital role of linear algebraic models in solving localization problems, as well as many other problems in algorithms, data science, and artificial intelligence. Localization has multi-industrial applications, which this book attempts to address through linear algebraic approaches while using the dominant C++ programming language in those industries.
Features
- This book provides clear, illustrative descriptions of the main linear algebra topics and advanced algorithms in localization problems
- It provides C++ implementations available via the associated eResource repository, including detailed explanations, flowcharts, UML diagrams and text, and code run output
- It also provides case studies by the author for advanced topics in automotive applications
About the Author
Ahmed Al-Muraeb is an electrical engineer with approximately two decades of multi-industrial and academic experience, with Ph.D. (Oakland University, MI, USA, in 2016) and M.Sc. (University of Baghdad, Baghdad, Iraq, in 2004) degrees. His industrial experience spanned cellular RF networks operation, maintenance, system admin, and database; cellular value-added services configuration, operations, and admin; and automotive ADAS/AD features development and testing, as well as hardware components validation, with 30+ certifications and trainings. Ahmed’s ADAS/AD experience includes localization solutions since 2020 and continuing. His academic experience comprises teaching (at Wayne State University, Michigan, USA, and Oakland University) and research (in lasers and photonics), with publications (two dissertations and six journal and conference papers) and awards (eight grants and awards).
In addition to his industrial and academic achievements, Ahmed is passionate about sharing his knowledge in the clearest, most comprehensive, and accurate form and making complex topics accessible to a broader audience. In his free time, Ahmed enjoys making art, reading, hiking, watching documentaries, movies, and shows, and listening to music.
