Approximate Queries on WSO2 Stream Processor: Use of Approximation Algorithms in an Applied Setting Dec 15, 2017 13 min read ...

Such algorithms find approximate (slightly suboptimal) solutions to optimization problems in polynomial time. Unlike heuristics, approximation algorithms have provable performance guarantees: they ...

Approximation algorithms for the TSP endeavour to provide efficient, near‐optimal solutions where exact methods prove computationally prohibitive.

Such algorithms find approximate (slightly suboptimal) solutions to optimization problems in polynomial time. Unlike heuristics, approximation algorithms have provable performance guarantees: they ...

The application of the trajectory averaging estimator to other stochastic approximation MCMC algorithms, for example, a stochastic approximation MLE algorithm for missing data problems, is also ...

A string of improved approximation algorithms have since emerged, after computer scientists began looking at the problem with fresh eyes.

Introduction to NP-Completeness, followed by Approximation Algorithms, Randomised Algorithms, and other topics such as some of Average-Case Analysis, Streaming Algorithms, Exponential-Time Algorithms, ...

A polynomial-time approximation algorithm for the permanent of a matrix with non-negative entries Mark Jerrum, Alistair Sinclair (UC Berkeley) and Eric Vigoda (Georgia Tech) received the Association ...

Michel Gendreau, Gilbert Laporte, Alain Hertz, An Approximation Algorithm for the Traveling Salesman Problem with Backhauls, Operations Research, Vol. 45, No. 4 (Jul ...