..., and optimization. Optimization is considered both for the operating conditions as well as for the hardware of the system. Starting with a feasible domain that leads to an acceptable design, different optimization strategies may be employed. Both deterministic conditions and those with uncertainty are of interest...

... by their presence diminishes. Without detailed analysis, it might then be reasonable to assume that the region in which two-dimensional conduction is important will gradually diminish in size as L decreases. As shown in Sec. 8 this is not the case and there is actually an amplification of the uncertainty...

... the coefficients in the sweating or the skin temperature equations or both. However, the uncertainty in the PPD is dominated by the uncertainty in B sw and its interactions and the interaction of A sk and B sk . Neither of these latter two coefficients is important...

... point. When there is uncertainty about the operating point, the common approach is the construction of a response surface and Monte Carlo sampling based on the probability distribution of these uncertain variables. Because of the expense of Monte Carlo sampling, it is important to restrict the analysis...

... of view of stochastic differential equations. stochastic heat transfer uncertainty predictions stochastic processes cooling chaos random processes white noise 22 03 2006 19 09 2006 Chaos polynomials Order One random variable Two random variables i...

... models over the full range of possible applications becomes more difficult. This difficulty is compounded by the uncertainty that is invariably present in the experimental data used to test the model; the uncertainties in the parameters that are incorporated into the model; and the uncertainties...

... investigate the effect of other uncertainties in the model to see if these questions can be resolved. The state variables include the measured temperatures at thermocouples 1 and 14 which are used to specify the boundary conditions. These measurements are noisy and the EKF method includes...

... July 2, 2002. Associate Editor: A. F. Emery. 24 August 2001 02 July 2002 03 12 2002 information theory sampling methods parameter estimation Information Parameter Estimation Correlated Data Uncertainty Experiments are often performed to prove the accuracy...