..., 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...

... boundary conditions stochastic conduction uncertainty In drawing polymer optical fibers, heating is done by radiation from the furnace walls and convection from the air contained in the furnace. In contrast to drawing glass fibers where the dominant heat transfer is by radiation from the very...

... the interactions are negligible. In spite of the concerns voiced by Rohles ( 8 ) and others and of the recognition of the level of error associated with the PMV model, it is the current international standard for designing for comfort and we will investigate its sensitivities to uncertainties...

... 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...

... components. A transient lumped capacitance cooling problem and a one-dimensional fin are analyzed by both methods to demonstrate their usefulness. 22 03 2006 19 09 2006 stochastic processes cooling chaos random processes white noise stochastic heat transfer uncertainty...

... 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...

... Estimation Correlated Data Uncertainty Kalman Filter Consider estimating the thermal conductivity by measuring temperatures as a function of time and position, T = F x , t , k . The usual approach is to minimize the weighted sum of the errors squared (1) S = ∑ i...

... 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...