External-Storage Data Structures for Plane-Sweep Algorithms
نویسندگان
چکیده
منابع مشابه
Space-Efficient Plane-Sweep Algorithms
We introduce space-efficient plane-sweep algorithms for basic planar geometric problems. It is assumed that the input is in a read-only array of n items and that the available workspace is Θ(s) bits, where lgn ≤ s ≤ n · lg n. In particular, we give an almost-optimal algorithm for finding the closest pair among a set of n points that runs in O(n/s+n·lg s) time. We give a simple algorithm to enum...
متن کاملAlgorithms and Data Structures for External Memory
Data sets in large applications are often too massive to fit completely inside the computer’s internal memory. The resulting input/output communication (or I/O) between fast internal memory and slower external memory (such as disks) can be a major performance bottleneck. In this work we survey the state of the art in the design and analysis of algorithms and data structures for external memory ...
متن کاملA Comparison of Plane Sweep Delaunay Triangulation Algorithms
This paper presents a survey as well as a new sweep-circle algorithm, on plane sweep algorithms for computing the Delaunay triangulation. The algorithms examined are: Fortune’s sweep-line algorithm, Zalik’s sweep-line algorithm, and a sweep-circle algorithm proposed by Adam, Kauffmann, Schmitt, and Spehner. We test implementations of these algorithms on a number of uniform and none-uniform dist...
متن کاملExperiments on the Practical I/O Efficiency of Geometric Algorithms: Distribution Sweep vs. Plane Sweep
We present an extensive experimental study comparing the performance of four algorithms for the following orthogonal segment intersection problem: given a set of horizontal and vertical line segments in the plane, report all intersecting horizontal-vertical pairs. The problem has important applications in VLSI layout and graphics, which are large-scale in nature. The algorithms under evaluation...
متن کاملExternal Geometric Data Structures
Many modern applications store and process datasets much larger than the main memory of even state-of-the-art high-end machines. Thus massive and dynamically changing datasets often need to be stored in space efficient data structures on external storage devices such as disks, and in such cases the Input/Output (or I/O) communication between internal and external memory can become a major perfo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BRICS Report Series
سال: 1994
ISSN: 1601-5355,0909-0878
DOI: 10.7146/brics.v1i16.21651