Warehouse Stock Clearance Sale

Grab a bargain today!


Randomization and Approximation Techniques in Computer Science
By

Rating

Product Description
Product Details

Promotional Information

Springer Book Archives

Table of Contents

Polynomial time approximation schemes for some dense instances of NP-hard optimization problems.- Average-case complexity of shortest-paths problems in the vertex-potential model.- Approximation algorithms for covering polygons with squares and similar problems.- Greedily approximating the r-independent set and k-center problems on random instances.- Nearly linear time approximation schemes for Euclidean TSP and other geometric problems.- Random sampling of Euler tours.- A combinatorial consistency lemma with application to proving the PCP theorem.- Super-bits, demi-bits, and NP/qpoly-natural proofs.- Sample spaces with small bias on neighborhoods and error-correcting communication protocols.- Approximation on the web: A compendium of NP optimization problems.- Random-based scheduling new approximations and LP lower bounds.- ‘Go with the winners’ generators with applications to molecular modeling.- Probabilistic approximation of some NP optimization problems by finite-state machines.- Using hard problems to derandomize algorithms: An incomplete survey.- Weak and strong recognition by 2-way randomized automata.- Tally languages accepted by Monte Carlo pushdown automata.- Resource-bounded randomness and compressibility with respect to nonuniform measures.- Randomness, stochasticity and approximations.

Ask a Question About this Product More...
 
Look for similar items by category
People also searched for
Item ships from and is sold by Fishpond World Ltd.

Back to top