Topologically sweeping an arrangement
STOC '86 Proceedings of the eighteenth annual ACM symposium on Theory of computing
Constructing arrangements of lines and hyperplanes with applications
SIAM Journal on Computing
Worst-case optimal hidden-surface removal
ACM Transactions on Graphics (TOG)
Algorithms in combinatorial geometry
Algorithms in combinatorial geometry
Reverse search for enumeration
Discrete Applied Mathematics - Special volume: first international colloquium on graphs and optimization (GOI), 1992
Primal-dual methods for vertex and facet enumeration (preliminary version)
SCG '97 Proceedings of the thirteenth annual symposium on Computational geometry
Linear Programming in Linear Time When the Dimension Is Fixed
Journal of the ACM (JACM)
Linear Programming - Randomization and Abstract Frameworks
STACS '96 Proceedings of the 13th Annual Symposium on Theoretical Aspects of Computer Science
Duality Gap Estimation of Linear Equality Constrained Binary Quadratic Programming
Mathematics of Operations Research
On zero duality gap in nonconvex quadratic programming problems
Journal of Global Optimization
Reachability determination in acyclic Petri nets by cell enumeration approach
Automatica (Journal of IFAC)
On duality gap in binary quadratic programming
Journal of Global Optimization
Optimizing cost and performance for content multihoming
Proceedings of the ACM SIGCOMM 2012 conference on Applications, technologies, architectures, and protocols for computer communication
Optimizing cost and performance for content multihoming
ACM SIGCOMM Computer Communication Review - Special october issue SIGCOMM '12
On reduction of duality gap in quadratic knapsack problems
Journal of Global Optimization
A polynomial case of the cardinality-constrained quadratic optimization problem
Journal of Global Optimization
Hi-index | 0.00 |
We present a simple and practical algorithm for enumerating the set of cells C of an arrangement of m hyperplanes. For fixed dimension its time complexity is O(m.|C|). This is an improvement by a factor of m over the reverse search algorithm by Avis and Fukuda. The algorithm needs little space, is output-sensitive, straightforward to parallelize and the implementation is simple for all dimensions.