Space-Filling Curves: An Introduction with Applications in Scientific Computing (Texts in Computational Science and Engineering, 9)

This book provides a comprehensive introduction to using space-filling curves (SFC) as tools in scientific computing, covering topics such as representation, algorithms, locality properties, parallelization, adaptive mesh refinement, and more.

With a focus on low-dimensional curves used for linearly ordering points on the 2D or 3D grid, the book offers a valuable resource for advanced undergraduate and graduate students as well as experienced researchers.

The author presents templates for parallelization and cache-efficient algorithms, highlighting the most important applications of SFC in scientific computing.

Additionally, the book includes short overviews of the most important publications and recent research activities in the field.

Whether you're a student looking to deepen your understanding of SFC or a researcher seeking a comprehensive guide, this book is an essential resource for anyone interested in the field.