Algorithm Theory - SWAT '96

Derandomization via small sample spaces.- The randomized complexity of maintaining the minimum.- Faster algorithms for the nonemptiness of streett automata and for communication protocol pruning.- Service-constrained network design problems.- Approximate hypergraph coloring.- Facility dispersion and remote subgraphs.- The constrained minimum spanning tree problem.- Randomized approximation of the constraint satisfaction problem.- On the hardness of global and local approximation.- Approximation algorithms for the maximum satisfiability problem.- On the hardness of approximating the minimum consistent OBDD problem.- Computing the unrooted maximum agreement subtree in sub-quadratic time.- Greedily finding a dense subgraph.- Using sparsification for parametric minimum spanning tree problems.- Vertex partitioning problems on partial k-trees.- Making an arbitrary filled graph minimal by removing fill edges.- Sorting and searching revisted.- Lower bounds for dynamic transitive closure, planar point location, and parentheses matching.- Optimal pointer algorithms for finding nearest common ancestors in dynamic trees.- Neighborhood graphs and distributed ?+1-coloring.- Communication complexity of gossiping by packets.- Optimal cost-sensitive distributed minimum spanning tree algorithm.- A linear time algorithm for the feasibility of pebble motion on trees.- Linear-time heuristics for minimum weight rectangulation.- Visibility with multiple reflections.- A fast heuristic for approximating the minimum weight triangulation.- Neighbours on a grid.- On two dimensional packing.- Optimal orthogonal drawings of triconnected plane graphs.- Walking streets faster.- Safe and efficient traffic laws for mobile robots.- Progress in selection.- Probabilistic ancestral sequences and multiple alignments.- Efficient algorithms for Lempel-Ziv encoding.- The deterministic complexity of parallel multisearch.- Priority queues on parallel machines.- Binary search trees: How low can you go?.- Boolean analysis of incomplete examples.