A Generalized Class of Energy Conservation/Dissipation [GInO] Family of Time Operators with Improved Physical Attributes for Non-linear Computational Dynamics

2003 ◽  
Author(s):  
Sukhpreet Sandhu ◽  
Ramdev Kanapady ◽  
Kumar Tamma
Keyword(s):  
Energy Conservation ◽  
Computational Dynamics ◽  
Non Linear ◽  
Physical Attributes ◽  
Time Operators

scholarly journals Energy conservation and numerical stability for the reduced MHD models of the non-linear JOREK code

2015 ◽  
Vol 49 (5) ◽  
pp. 1331-1365 ◽  
Author(s):  
Emmanuel Franck ◽  
Matthias Hölzl ◽  
Alexander Lessig ◽  
Eric Sonnendrücker
Keyword(s):  
Energy Conservation ◽  
Numerical Stability ◽  
Non Linear

Data Gathering with Multi-Attribute Fusion in Wireless Sensor Networks

2011 ◽  
pp. 159-181 ◽  
Author(s):  
Kai Lin ◽  
Lei Wang ◽  
Lei Shu ◽  
Al-Sakib Khan Pathan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Conservation ◽  
Data Gathering ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Physical Attributes ◽  
And Performance ◽  
Save Energy ◽  
Conservation Efficiency

This chapter addresses the problem of data gathering with multi-attribute fusion over a bandwidth and energy constrained wireless sensor network (WSN). As there are strong correlations between data gathered from sensor nodes in close physical proximity, effective in-network fusion schemes involve minimizing such redundancy and hence reducing the load in wireless sensor networks. Considering a complicated environment, each sensor node must be equipped with more than one type of sensor module to monitor multi-targets; hence, the complexity for the fusion process is increased due to the existence of various physical attributes. In this chapter, by investigating the process and performance of multi-attribute fusion in data gathering of WSNs, we design a self-adaptive threshold to balance the different change rates of each attributive data. Furthermore, we present a method to measure the energy-conservation efficiency of multi-attribute fusion. Then, a novel energy equilibrium routing method is proposed to balance and save energy in WSNs, which is named multi-attribute fusion tree (MAFT). The establishment of MAFT is determined by the remaining energy of sensor nodes and the energy-conservation efficiency of data fusion. Finally, the energy saving performance of the scheme is demonstrated through comprehensive simulations. The chapter concludes by identifying some open research issues on this topic.

B. The Non-Linear Calculations for Pulsating Stars

1967 ◽  
Vol 28 ◽  
pp. 105-176
Author(s):  
Robert F. Christy
Keyword(s):  
Major Part ◽  
Afternoon Session ◽  
Discussion Session ◽  
Pulsating Stars ◽  
Fourth Symposium ◽  
Non Linear ◽  
Considerable Discussion ◽  
Informal Approach ◽  
Preceding Session

(Ed. note: The custom in these Symposia has been to have a summary-introductory presentation which lasts about 1 to 1.5 hours, during which discussion from the floor is minor and usually directed at technical clarification. The remainder of the session is then devoted to discussion of the whole subject, oriented around the summary-introduction. The preceding session, I-A, at Nice, followed this pattern. Christy suggested that we might experiment in his presentation with a much more informal approach, allowing considerable discussion of the points raised in the summary-introduction during its presentation, with perhaps the entire morning spent in this way, reserving the afternoon session for discussion only. At Varenna, in the Fourth Symposium, several of the summaryintroductory papers presented from the astronomical viewpoint had been so full of concepts unfamiliar to a number of the aerodynamicists-physicists present, that a major part of the following discussion session had been devoted to simply clarifying concepts and then repeating a considerable amount of what had been summarized. So, always looking for alternatives which help to increase the understanding between the different disciplines by introducing clarification of concept as expeditiously as possible, we tried Christy's suggestion. Thus you will find the pattern of the following different from that in session I-A. I am much indebted to Christy for extensive collaboration in editing the resulting combined presentation and discussion. As always, however, I have taken upon myself the responsibility for the final editing, and so all shortcomings are on my head.)

A decomposition method in non-linear programmm

Optimization ◽  
1975 ◽  
Vol 6 (4) ◽  
pp. 549-559
Author(s):  
L. Gerencsér
Keyword(s):  
Decomposition Method ◽  
Non Linear
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