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

We extend the (1 — 1/e)-approximation algorithm to a constant-factor approximation algorithms for a nonseparable assignment problem with applications in maximizing revenue for budget-constrained ...

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

We develop approximation algorithms for different purposes: quick response algorithms for individual customer requirement planning to build a quotation, and elaborate algorithms to provide a ...

Geometric Optimization and Approximation Algorithms Publication Trend The graph below shows the total number of publications each year in Geometric Optimization and Approximation Algorithms.

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

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, ...

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

This course covers advanced topics in approximation algorithms for NP-hard problems, including combinatorial algorithms and LP-based algorithms for set cover, k-cut, k-center, feedback vertex set, ...