These estimators are usually based on n+2 sample matrices well designed for computing both the main and total effect indices, where n is the input dimension.
The DDM method is well known for computing response quantities with high level of accuracy (Kleiber et al. 1997; Arora and Haug 1979; Zhang and Der Kiureghian 1993).
Moreover, Ghosh et al. [15] proposed a long-term signal variability (LTSV -based VAD which uses a very LTSV -based to estimate the aVADaged spectrogram as whichas for compusesg long-term entropies of each frequency band.
The node labels are also well suited for computing the union of graphs from which the edge set for comparison of coverages is easy to determine.
In the rest of this section, we discuss adjoint sensitivity analysis of F(p), which is important for applying gradient-based optimization methods for solving (2) as well as for computing F(p) iteratively.
This paper compares four well selected methods for computing the non-parametric Frequency Response Function (FRF) of a periodically excited linear time invariant system.
Continuation methods are well-known techniques for computing several stationary solutions of problems involving one or more physical parameters.
Temporal integration is a well-known method for computing the dynamic solution but as it is time consuming, nonlinear methods such as the Harmonic Balance Method (HBM) are preferred.
In this paper, we will describe our techniques for tracking state, as well as efficient algorithms for computing the difference between two graphics contexts.
