The generalized domain-independent interaction integral (DII-integral) is investigated due to its extremely promising application in solving the stress intensity factors (SIFs) of nonhomogeneous materials with complex interfaces.
The new representation greatly expands the class of problems amenable to be solved probabilistically, and was used successfully to develop a generalized probabilistic domain decomposition method.
In this paper, a posteriori error estimates for the generalized overlapping domain decomposition method with Robin boundary conditions on the interfaces for a parabolic variational equation with second order boundary value problems are studied using the semi-implicit-time scheme combined with a finite element spatial approximation.
In this paper, a posteriori error estimates for the generalized overlapping domain decomposition method with Dirichlet boundary conditions on the interfaces, for parabolic variational equation with second order boundary value problems, are derived using the semi-implicit-time scheme combined with a finite element spatial approximation.
We ran our generalized ING domain models against the proteomes of the above mentioned three species to verify if counterparts of human ING protein domains exist in them.
A generalized time-domain method for soil structure interaction analysis is developed, based upon an extension of the work of the domain reduction method of Bielak et al. The methodology is combined with the use of a simple hysteretic soil model based upon the Ramberg Osgood formulation and applied to a notional Small Modular Reactor.
generalized frequency-domain adaptive filtering.
The generalized frequency-domain adaptive filtering (GFDAF) algorithm has been shown to largely overcome this problem while retaining computational efficiency.
To implement AEC for multichannel reproduction systems, powerful adaptation algorithms like the generalized frequency-domain adaptive filtering (GFDAF) algorithm are required for satisfactory convergence behavior.
The state-space approach is a generalized time-domain method for modeling, analyzing, and designing a wide range of control systems and is particularly well suited to digital computational techniques.
The seven different SDM methods used in analyses include: Bioclim, Domain, generalized linear model (GLM), generalized additive model (GAM), maximum entropy model (Maxent), boosted regression tree (BRT), and random forests (RF).
