𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Polynomial-time approximation schemes for scheduling problems with time lags

✍ Scribed by Xiandong Zhang; Steef van de Velde


Publisher
Springer US
Year
2009
Tongue
English
Weight
322 KB
Volume
13
Category
Article
ISSN
1094-6136

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Polynomial time approximation schemes fo
✍ Hadas Shachnai; Tami Tamir πŸ“‚ Article πŸ“… 2001 πŸ› Springer US 🌐 English βš– 207 KB

We consider variants of the classic bin packing and multiple knapsack problems, in which sets of items of di erent classes (colours) need to be placed in bins; the items may have di erent sizes and values. Each bin has a limited capacity, and a bound on the number of distinct classes of items it can

Polynomial time approximation algorithms
✍ Petra Schuurman; Gerhard J. Woeginger πŸ“‚ Article πŸ“… 1999 πŸ› Springer US 🌐 English βš– 91 KB πŸ‘ 2 views

We discuss what we consider to be the 10 most vexing open questions in the area of polynomial time approximation algorithms for NP-hard deterministic machine scheduling problems. We summarize what is known on these problems, we discuss related results, and we provide pointers to the literature. Copy

Polynomial Time Approximation Schemes fo
✍ Sanjeev Arora; David Karger; Marek Karpinski πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 250 KB

We present a unified framework for designing polynomial time approximation schemes (PTASs) for ``dense'' instances of many NP-hard optimization problems, including maximum cut, graph bisection, graph separation, minimum k-way cut with and without specified terminals, and maximum 3-satisfiability. By

On polynomial-time approximation algorit
✍ Artur Czumaj; Leszek GaΜ§sieniec; Daya Ram Gaur; Ramesh Krishnamurti; Wojciech Ry πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 195 KB

This paper may be viewed as a corrigendum as well as an extension of the paper by (Czumaj et al., Theoret. Comput. Sci. 262 (1-2), ( 2001) 569-582) where they deal with the variable length scheduling problem (VLSP) with parameters k1; k2, denoted VLSP(k1; k2). In the current paper, we ΓΏrst discuss a