Al-Muraeb A Linear Algebra for Localization Algorithms, Use Cases, 2026 | 9.68 MB
Title: Linear Algebra for Localization
Author: Ahmed Al-Muraeb;
Description:
This book emphasises 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
• Provides clear, illustrative descriptions of the main linear algebra topics and advanced algorithms in localization problems.
• C++ implementations available via associated GitHub repository, including detailed explanations, flowcharts, UML diagrams and text, and code runs output.
• Case study by the author for an advanced topics in automotive application.
This book emphasises 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
• Provides clear, illustrative descriptions of the main linear algebra topics and advanced algorithms in localization problems.
• C++ implementations available via associated GitHub repository, including detailed explanations, flowcharts, UML diagrams and text, and code runs output.
• Case study by the author for an advanced topics in automotive application.
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