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The review focuses on schemes that employ one of two subclasses of fast update methods developed for direct solution approaches, the suboptimal update methods and the sensitivity-based update methods.
Two iterative sample update methods are considered: one based on an a perturbed observation Kalman filter update and one based on a square root Kalman filter update.
The methods and tools described in this paper include: stabilized finite element formulations; formulations for flows with moving boundaries and interfaces; mesh update methods; iterative solution techniques for large nonlinear equation systems; and parallel implementation of these methods.
In this paper, NMPC schemes based on fast update methods (fast NMPC schemes) are reviewed that strive to provide a fast but typically suboptimal update of the control variables at each sampling instant with negligible computational delay.
Although Bayesian update methods have been used before, our approach more fully exploits the graphical structure of Bayes nets to define and explicitly model statistical dependencies between relevant variables: per sample measurements, such as match scores and corresponding quality estimates, and global decision variables.
This requirement has to be one of the key factors in designing various components of the overall solution approach, such as solution techniques for the discretized equations and mesh update methods for handling the changes in the spatial domain occupied by the fluid.
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RFC 3311 The Session Initiation Protocol (SIP) UPDATE Method This specification defines the new UPDATE method for the Session Initiation Protocol (SIP).
Moreover to reduce the computation time, the sensitivity matrix is updated by Broyden combined update method.
S3age also provides a physics mechanism, calling update: (clock -> on any objeclock ->an update methon in the S3any scene.
Here, we use a subgradient update method.
The new update method has improved the real-time performance. .
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