Abstract: A vehicle steering wheel system is provided. The system includes a steering wheel body with a hub region for attachment to a steering shaft of a vehicle steering system, a steering wheel rim and at least one spoke for attaching the steering wheel rim to the hub region; an electromechanical triggering device for triggering an acoustic output by means of an acoustic warning device of the vehicle, wherein the triggering device has an impact absorber cover and at least one force transducer wherein a force value threshold is predefined for each force transducer, and a wake-up signal is transmitted via the data connection to the evaluation unit if the force value threshold is exceeded by at least one force value, so that the latter changes from the energy-saving mode into the operating mode in which an actuating force value is determined by force value measured by the at least one force transducer.

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: 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.