By Christian Pötzsche, Clemens Heuberger, Barbara Kaltenbacher, Franz Rendl
This booklet is a set of completely refereed papers awarded on the twenty sixth IFIP TC 7 convention on approach Modeling and Optimization, held in Klagenfurt, Austria, in September 2013. The 34 revised papers have been conscientiously chosen from quite a few submissions. They disguise the most recent growth in quite a lot of subject matters equivalent to optimum regulate of normal and partial differential equations, modeling and simulation, inverse difficulties, nonlinear, discrete, and stochastic optimization in addition to commercial applications.
Read or Download System Modeling and Optimization: 26th IFIP TC 7 Conference, CSMO 2013, Klagenfurt, Austria, September 9-13, 2013, Revised Selected Papers PDF
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Extra resources for System Modeling and Optimization: 26th IFIP TC 7 Conference, CSMO 2013, Klagenfurt, Austria, September 9-13, 2013, Revised Selected Papers
Sample text
In these cases, the algorithm starts to diverge and results in some nonreasonable or even complex numbers for some variables. In the 1000 Monte Carlo runs experiment considered above this happened six times. On the contrary, under the SLOVL model, not one single case of non-convergence out of the 1000 Monte Carlo runs occurred. Thus we arrive at the conclusion that nonlinearity is not the reason for the ‘outliers’, but it can worsen the problem. 30 7 D. Blueschke et al. Conclusion A comparison of open-loop control (without learning) and open-loop feedback control (with passive learning) shows that open-loop feedback control outperforms open-loop control in the majority of the cases investigated for the two small econometric models of Slovenia.
30 7 D. Blueschke et al. Conclusion A comparison of open-loop control (without learning) and open-loop feedback control (with passive learning) shows that open-loop feedback control outperforms open-loop control in the majority of the cases investigated for the two small econometric models of Slovenia. But it suffers from a problem of ‘outliers’ which is present for both policy schemes. When comparing the results for the nonlinear SLOVNL model and the linear SLOVL model, we found that the nonlinearity of the system is not responsible for the ‘outliers’ but may worsen their influence in some cases.
The gold layer is conductor so that there is no electric field inside it. The electric field inside the guiding layer is also neglected because of its low dielectric permeability. Therefore, the electric potential vanishes, and the gold and guiding layers are described by the equation of the form ∂ 2 ul = 0. ¯ui tt − C¯ijkl ∂xj ∂xk (7) In the fluid layer, the Stokes and mass conservation equations hold: ν ∂ ∂ ) div v + P = 0, (8) 3 ∂xi ∂xi ∂ γPt + vi = 0, ∂xi where vi are components of the velocity, P is the pressure, 0 is the fluid density at a reference pressure P0 , ν and ζ are the dynamic and volume viscosities of 1 ∂ the fluid, respectively, and γ = is the compressibility of the fluid.