1,721,066 research outputs found
Verification and validation of least-squares fictitious domain method with finite-hp element approximation
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Application of Multi Objective Genetic Algorithm and Neural Network to the Optimization of Foundry Process
No full textSolution of Heat Conduction Problems by Fictitious Domain Approach and Least Squares Spectral Element Method
No full textRating and credit limit: definitions and background
No full textToday, banks are the main consumers and generators of credit scores on their customers. This has been further enhanced since 2004, when the Basel Committee1 published a review of the agreement of 1998 to regulate minimum capital requirements: Basel 2. The
Web site of the Bank for International Settlements reports that “The changes aimed at rewarding and encouraging continued improvements in risk measurement and control”. One of the major changes on risk measurement involved the insolvency risk, accelerating the development and the adoption of credit scoring methods
Investigation of Multi Geometric Uncertainties by Different Polynomial Chaos Methodologies Using a Fictitious Domain Solver
No full textIn this paper different Polynomial Chaos methods coupled to Fictitious Domain approach have been applied to one- and two-dimensional elliptic problems with multi uncertain variables in order to compare the accuracy and convergence of the methodologies. Both intrusive and non-intrusive methods have been considered, with particular attention to their employment for quantification of geometric uncertainties. A Fictitious Domain approach with Least-Squares Spectral Element approximation has been employed for the analysis of differential problems with uncertain boundary domains. Its main advantage lies in the fact that only a Cartesian mesh, that represents the enclosure, needs to be generated. Excellent accuracy properties of considered methods are demonstrated by numerical experiments
Fictitious Domain with Least-Squares Spectral Element Method to Explore Geometric Uncertainties by Non-Intrusive Polynomial Chaos Method
No full textIn this paper the Non-Intrusive Polynomial Chaos Method coupled to a Fictitious Domain approach has been applied to one- and two-dimensional elliptic problems with geometric uncertainties, in order to demonstrate the accuracy and convergence of the methodology. The main advantage of non-intrusive formulation is that existing deterministic solvers can be used. A new Least-Squares Spectral Element method has been employed for the analysis of deterministic differential problems obtained by Non-Intrusive Polynomial Chaos. This algorithm employs a Fictitious Domain approach and for this reason its main advantage lies in the fact that only a Cartesian mesh needs to be generated. Excellent accuracy properties of method are demonstrated by numerical experiments
Robust design, approximation methods and self organizing map techniques for MDO problems
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