<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Computationally Efficient Approximation Schemes for Functional Optimization"^^ . "Approximation schemes for functional optimization problems with admissible solutions dependent on a large number d of variables are investigated. Suboptimal solutions\r\nare considered, expressed as linear combinations of n-tuples from a basis set. The uses of fixed-basis and variable-basis approximation are compared. In the latter,\r\nsimple computational units with adjustable parameters are exploited. Conditions are discussed, under which the number n of basis functions required to guarantee a desired accuracy does not grow “fast” with the number d of variables in admissible solutions, thus mitigating the “curse of dimensionality”. As an example of application,\r\nan optimization-based approach to fault diagnosis for nonlinear stochastic systems is presented. Numerical results for a complex instance of the fault-diagnosis problem are given. "^^ . "2008" . "17" . "1/2" . . "Nova Publishers"^^ . . . "International Journal of Computer Research"^^ . . . "15356698" . . . . . . . . . . . . . "Angelo"^^ . "Alessandri"^^ . "Angelo Alessandri"^^ . . "Giorgio"^^ . "Gnecco"^^ . "Giorgio Gnecco"^^ . . "Marcello"^^ . "Sanguineti"^^ . "Marcello Sanguineti"^^ . . . . . "HTML Summary of #1693 \n\nComputationally Efficient Approximation Schemes for Functional Optimization\n\n" . "text/html" . . . "QA75 Electronic computers. Computer science"@en . .