Anupam Gupta, Ravishankar Krishnaswamy, Viswanath Nagarajan, R. Ravi, Running Errands in Time: Approximation Algorithms for Stochastic Orienteering, Mathematics of ...

Martin Skutella, Approximation Algorithms for the Discrete Time-Cost Tradeoff Problem, Mathematics of Operations Research, Vol. 23, No. 4 (Nov., 1998), pp. 909-929 ...

Polynomial-Time Approximation Scheme (PTAS): An algorithm that for any given fixed ε > 0 finds a solution that is within a factor of (1 + ε) of the optimum in time polynomial in the input size.

This project provides a complete implementation of the theoretical results from the seminal research paper on subspace approximation algorithms. The implementation encompasses: Complete coverage of ...

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

Approximation and Online Algorithms. (2021). An Improved Approximation Bound for Minimum Weight Dominating Set on Graphs of Bounded Arboricity. Retrieved from http://dx.doi.org/10.1007/978-3-030-92702 ...

R.K. Ahuja, O. Ergun, J.B. Orlin, and A.P. Punnen, Very Large Scale Neighborhood Search: Theory, Algorithms and Applications, Approximation Algorithms and Metaheuristics , T. Gonzalez (ed), CRC Press, ...

The core contribution is the transformation of a theoretical dual-based approximation algorithm into a practical implementation through physical model mapping. You'll notice some seemingly unusual ...

An inner approximation algorithm is proposed for path-constrained dynamic optimization (PCDO) by iteratively solving restrictions of PCDO (RPCDO). Firstly, an upper bound function of the path ...

Identifying positive influence dominating set (PIDS) with the smallest cardinality can produce positive effect with the minimal cost on a social network. The purpose of this article is to propose new ...