… innovative FE model updating method using data … method transforms the complicated
multi-variable optimization mathematical problem with the traditional FE model updating technique …

… To conquer the limitations of the above-mentioned methods, from the last few years, … with
multi-variable, high dimensional objective functions, and able to give an optimal solution for the …

… is relatively low when dealing with high-dimensional complex multi-variable problems. …
Different methods can be designed according to different needs from practical problems. In this …

… well in that range, Linear and finite difference models outperform all state-of-the-… methods
were developed for uni-variate time series prediction, but we are expanding it to multi-variable …

… of a culture effectively through different methods such as the supply of … designed based on
cell population balance models. As the … since it can handle multi-variable control problems in a …

… The method applied in this study was able to diminish the computational time by reducing
the required number of climate model at the same time and reduced the climate projection …

… model for a solid oxide fuel cell. An efficient non-linear method for estimating the parameters
of the SOFC model … Due to the inherent high-nonlinear, multi-variable, and strong-coupled …

… of In 0.53 Ga 0.47 As TPV cell mostly remain < 15%. Therefore, this work develops a multi-variable
or multi-dimensional optimization of In 0.53 Ga 0.47 As TPV cell using the real coded …

… Furthermore, large scale FBC control is inherently multi-variable with high inertia, long delays
… In this research work population balance model (PBM) is used in conjunction with TFM …

… Error in the maxima and minima cases could be attributed to the limitations of the multi-variable
optimization method used. A comparison of best data obtained from simulation and …