• No results found

Approximation Algorithms for Problems in Makespan Minimization on Unrelated Parallel Machines

N/A
N/A
Protected

Academic year: 2020

Share "Approximation Algorithms for Problems in Makespan Minimization on Unrelated Parallel Machines"

Copied!
112
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Table 1.1: Some machine environments in Graham’s notation. Machine environments are givenfrom most general to least.
Table 1.2: Job characteristics.
Figure 1.3: An instance of the graph balancing problem (left) and its job-intersection graph(right).
Table 1.3: Summary of approximation algorithm results in this thesis in the order in which theyare presented
+7

References

Related documents

The absolute value of the demand requirement (D r ) in MW for the current auction is based on four variables: the installed reserve margin (r), the expected peak demand (D peak )

Accordingly, the banking corporation shall ensure that it receives the required information from the cloud service provider for the purpose of carrying out the risk

From Kristiansand, take E39 towards Stavanger, and either take the Flekkefjord FV44 exit towards Sokndal (Stage 6 in reverse, not suited for semi-trailers) or the next exit, FV501

On the farms with a high incidence of these infections, harmlessness and immunological effectiveness of the vaccine administered into down-calving cows and calves aged 15–18 days

The single phase high pressure fluid at the outlet of slim-tube, the small pressure drop across it, and no methane bank in the composition of effluent gas indicate that

This paper employs a quantile regression approach to test the effects of tourism growth on economic growth at the different conditional economic

Unless otherwise agreed, when the seller tenders delivery of goods to the buyer, he is bound, on request, to afford the buyer a reasonable opportunity of examining the goods for

Focusing on EU enlargement, the economic recession, and Brexit as a series of interlinked unsettling events and combining qualitative data from different studies