Design optimization can be classified as two categories: deterministic design optimization and stochastic design optimization.
Nd]} denotes the vector of deterministic design variables.
After obtaining the surrogate model based on ANN, the next step is to realize the deterministic design optimization to find nominal or mean values of design variables.
After performing a deterministic design
calculation, a sensitivity analysis it typically required to deal with uncertainty.
Instead of using the known, simple algorithm to combine these two NFAs into a new NFA, accepting the union language, he turned to a direct, almost deterministic design
Modelling Under Risk and Uncertainty goes beyond the black-box' view that some risk analysts or statisticians develop the underlying phenomenology of the environmental or industrial processes, without valuing enough their physical properties and inner modelling potential; conversely it is also to attract environmental or engineering modellers to more elaborate statistical and risk analysis material beyond for example, elementary variance analysis, taking advantage of advanced scientific computing, to face new regulations departing from deterministic design