This book introduces a new approach to flow analysis which aims to improve the optimization of compliers. The author, M. Sharir, presents a novel method based on a structural analysis of the flow graph representation of the program code. This approach provides a more accurate and efficient way of analyzing the control and data flow of programs.
Providing a comprehensive introduction to the upper envelope problem, this book is perfect for anyone interested in computational geometry, topology, and algorithms. With clear explanations, insightful examples, and rigorous proofs, Edelsbrunner, Guibas, and Sharir provide deep insights into the subject and cutting-edge techniques for solving this classic problem.
In this pioneering work, Schwartz and Sharir present a groundbreaking approach to the problem of object recognition in real-world situations. Drawing on insights from computational geometry, their algorithms are able to identify partially obscured objects with a high degree of accuracy. This book is essential reading for anyone interested in the science of perception and pattern recognition.