Introduces sublinear algorithms for large-scale data systems, providing foundational knowledge for advanced topics
Demonstrates practical applications to wireless sensor networks, MapReduce, and smart grids, enhancing understanding of real-world relevance
Suitable for researchers, engineers, and graduate students in computer science, communications, and signal processing
Paperback format for lightweight portability and easy reference
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SpringerBriefs in Computer Science Wang, Dan; Han, Zhu The brief focuses on applying sublinear algorithms to manage critical big data challenges. The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply sublinear algorithms to three fami