A new framework for fast geometric queries that scales to complex spaces.
This book presents a data‑structure approach to solving the generalized point location problem in high dimensions and with nonlinear boundaries. It shows how to turn Collins’ cylindrical algebraic decomposition into a practical tool for fast searching, with careful handling of real algebraic predicates and witnesses.
The work explains how to transform algebraic descriptions into a searchable structure, balancing preprocessing effort, storage needs, and query speed. It highlights how the method connects to classic problems in computational geometry and what it means for real‑world performance, including bit‑level considerations and arithmetic costs.
Ideal for readers who want a solid, theory‑grounded approach to multidimensional searching and its applications in computational geometry.
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