R.A. Brualdi, A.J. Hoffman
Linear Algebra and Its Applications
We consider the orthgonal clipping problem in a set of segments: Given a set of n segments in d-dimensional space, we preprocess them into a data structure such that given an orthogonal query window, the segments intersecting it can be counted/reported efficiently. We show that the efficiency of the data structure significantly depends on a geometric discrete parameter K named the projected-image complexity, which becomes Θ (n2) in the worst case but practically much smaller. If we use O(m) space, where K log4d-7 n ≥ m ≥ n log4d-7 n, the query time is O((K/m)1/2 logmax{4,4d-5} n). This is near to an Ω((K/m)1/2) lower bound.
R.A. Brualdi, A.J. Hoffman
Linear Algebra and Its Applications
Jonathan Ashley, Brian Marcus, et al.
Ergodic Theory and Dynamical Systems
W.C. Tang, H. Rosen, et al.
SPIE Optics, Electro-Optics, and Laser Applications in Science and Engineering 1991
Imran Nasim, Melanie Weber
SCML 2024