Results 151 to 160 of about 113,908 (298)
ABSTRACT The foldover technique for screening designs is well‐known to guarantee zero aliasing of the main effect estimators with respect to two‐factor interactions and quadratic effects. It is a key feature of many popular response surface designs, including central composite designs, definitive screening designs, and most orthogonal, minimally ...
Jonathan Stallrich +3 more
wiley +1 more source
ABSTRACT Latent Gaussian models (LGMs) are a subset of Bayesian Hierarchical models where Gaussian priors, conditional on variance parameters, are assigned to all effects in the model. LGMs are employed in many fields for their flexibility and computational efficiency. However, practitioners find prior elicitation on the variance parameters challenging
Luisa Ferrari, Massimo Ventrucci
wiley +1 more source
Proper Orthogonal Decomposition Based Intrusive Reduced Order Models to Accelerate Computational Speed of Dynamic Analyses of Structures Using Explicit Time Integration Methods [PDF]
Young Kwang Hwang, Myungil Kim
openalex +1 more source
Efficient Analysis of the Aerodynamic Characteristics of Rotor Blade Using a Reduced Order Model Based on Proper Orthogonal Decomposition Method [PDF]
Sung-Ki Jung +4 more
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Entropy rigidity for cusped Hitchin representations
Abstract We establish an entropy rigidity theorem for Hitchin representations of geometrically finite Fuchsian groups which generalizes a theorem of Potrie and Sambarino for Hitchin representations of closed surface groups. In the process, we introduce the class of (1,1,2)‐hypertransverse groups and show for such a group that the Hausdorff dimension of
Richard Canary +2 more
wiley +1 more source
Perturbation methods and proper orthogonal decomposition analysis for nonlinear aeroelastic systems
The modern engineering deals with applications of high complexity. From a mathematical point of view such a complexity means a large number of degrees of freedom and nonlinearities in the equations describing the process. To approach this difficult problem there are two levels of simplification. The first level is a physical reduction: the real problem
openaire +2 more sources
ABSTRACT An efficient method for solving large eigenvalue problems efficiently can be developed using hyper‐reduced order models, such as those arising from the LU Proper Orthogonal Decomposition (LUPOD). The LUPOD employs dominant orthogonal modes along with a flexible number of collocation points to establish a reduced scalar product, thereby ...
A. Vidal‐Ferràndiz +4 more
wiley +1 more source
The Space Within: How Architected Voids Promote Tissue Formation
This review explores the role of void spaces in tissue engineering scaffolds and examines four key methods for introducing porosity into hydrogels at different scales. It discusses sacrificial templating, microgels, phase separation, and 3D printing, highlighting principles, advantages, and limitations. It also addresses emerging strategies integrating
Anna Puiggalí‐Jou +3 more
wiley +1 more source
A Simple Proper Orthogonal Decomposition Method forvon Karman Plate undergoing Supersonic Flow
Dan Xie, Min Xu
openalex +2 more sources

