Abstract: A method and device for valuation of a traded commodity An embodiment of the invention relates to a method for valuation of a traded commodity by a data processor, wherein a relative or absolute future value of the traded commodity is computed by a determination of an expectation by the data processor, the method comprising the steps of: receiving an historical time series indicating the commodity's value over time in the data processor; transferring the historical time series of the commodity's value into attribute values of at least one attribute representative for internal features of the historical time series; and constructing a function predicting the future value of the commodity based on a sparse grid regression method which takes said attribute values into account.

Abstract: A method and device for valuation of financial derivatives, wherein a value of a derivative is computed by a determination of an expectation. Input parameters are communicated by an input unit to a computer, such as at least one processor, to establish an integrand as a function of the input parameters. A multivariate integration domain is computed. A sparse grid method is used to determine integration points and integration weights as a function of the input parameters. The integrand is integrated with an integration domain at the integration points to determine integrand values. One or more expectation parameters are computed by combining the integrand values and the integration weights. A value of the derivative is communicated through an output unit, for example to a display monitor or another display device.

Abstract: The invention is in the field of automatic systems for electronic classification of objects which are characterized by electronic attributes. A device and a method for generating a classifier for automatically sorting objects, which are respectively characterized by electronic attributes, are provided, in particular a classifier for automatically sorting manufactured products into up-to-standard products and defective products, having a storage device for storing a set of electronic training data, which comprises a respective electronic attribute set for training objects, and having a processor device for processing the electronic training data, a dimension (d) being determined by the number of attributes in the respective electronic attribute set. The processor device has discretization means for automatically discretizing a function space (V), which is defined over the real numbers (Rd), into subspaces (VN, N=2, 3, . . .

Abstract: The invention is in the field of automatic systems for electronic classification of objects which Are characterized by electronic attributes. A device and a method for generating a classifier for Automatically sorting objects, which are respectively characterized by electronic attributes, are Provided, in particular a classifier for automatically sorting manufactured products into up-to-storage standard products and defective products, having a storage device for storing a set of electronic training data, which comprises a respective electronic attribute set for training objects, and having a processor device for processing the electronic training data, a dimension (d) being determined by the number of attributes in the respective electronic attribute set. The processor device has discretization means for automatically discretizing a function space (V), which is defined over the real numbers (R d), into subspaces (VN, N=2, 3, . . .

Abstract: A method and device for valuation of financial derivatives, wherein a value of a derivative is computed by a determination of an expectation. Input parameters are communicated by an input unit to a computer, such as at least one processor, to establish an integrand as a function of the input parameters. A multivariate integration domain is computed. A sparse grid method is used to determine integration points and integration weights as a function of the input parameters. The integrand is integrated with an integration domain at the integration points to determine integrand values. One or more expectation parameters are computed by combining the integrand values and the integration weights. A value of the derivative is communicated through an output unit, for example to a display monitor or another display device.