Results 61 to 70 of about 1,073 (161)
Register‐Efficient Linear‐Time Evaluation in the Bernstein Basis
Computer Graphics Forum, EarlyView.Abstract We investigate the evaluation of points and derivatives of Bézier curves and surfaces on modern architectures, focusing on performance and guided by numerical error bounds. While the de Casteljau algorithm remains the reference for numerical robustness, its linear working‐set size imposes substantial register pressure on GPUs.
Gábor Valasek, Anna Lili Horváth
wiley +1 more source
Class Angular Distortion Index for Dimensionality Reduction
Computer Graphics Forum, EarlyView.Abstract Dimensionality reduction (DR) techniques are often characterized by whether they preserve global, high‐level structures in the data or local, neighborhood structures. This distinction matters in visualization: global methods can obscure clusters while local methods can over‐emphasize them.
Kaviru Gunaratne +2 more
wiley +1 more source
Experiments in a turbine cascade for the validation of turbulence and transition models [PDF]
, 1995 This thesis presents a detailed investigation of the secondary flow and boundary layers in a large scale, linear cascade of high pressure turbine rotor blades.
Moore, H, H. Moore
core
I. On a New Constitutive Equation for Non-Newtonian Fluids. II. Brownian Motion with Fluid-Fluid Interfaces [PDF]
, 1989 This thesis is a small contribution to the ambitious goal of understanding some of the more complex flows that are found in nature, namely, flows of fluids with a microstructure. There is a great diversity of such flows: suspensions, emulsions, polymeric
El-Kareh, Ardith W.
core +1 more source
Scalable Computation of Topological Abstractions for Scalar Data
Computer Graphics Forum, EarlyView.Abstract Topological data analysis has become an important tool for large scale scalar data analysis and visualization, efficiently extracting the inherent structure and features of interest of the data. However, with growing dataset sizes and complexity, it is increasingly becoming infeasible to compute topological abstractions of interest in serial ...
M. Will +6 more
wiley +1 more source
A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces
International Statistical Review, EarlyView.Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri +3 more
wiley +1 more source
The aerodynamic design and optimization of a wing-fuselage junction fillet as part of a multi-disciplinary optimization process during the early aircraft design stages [PDF]
, 1996 An attempt to minimize interference drag in a wing-fuselage junction by means of inserting a fillet is presented in this thesis. The case of a low-wing com- mercial transport aicraft at cruise conditions is examined.
Hadjiilias, Hippokrates A. +1 more
core
Language Learning, EarlyView.Abstract Parallel tracking of distant relations between speech elements, so‐called nonadjacent dependencies (NADs), is crucial in language development but computationally demanding and acquired only in late preschool years. As processing of single NADs is facilitated when dependent elements are perceptually similar, we investigated how phonetic ...
Dimitra‐Maria Kandia +3 more
wiley +1 more source
Cyclides in engineering design: Algorithmic and computational aspects.
, 1994 Dupin cyclides have shown significant promise for applications in geometric modeling. While the mathematical and geometric properties of the surface are well known, the techniques and computational tools required for design and analysis of engineering ...
Srinivas, Lakshmi Yerrapothu
core
Solving Stochastic Climate‐Economy Models: A Deep Least‐Squares Monte Carlo Approach
Mathematical Finance, EarlyView.ABSTRACT Stochastic versions of recursive integrated climate‐economy assessment models are essential for studying and quantifying policy decisions under uncertainty. However, as the number of state variables and stochastic shocks increases, solving these models via deterministic grid‐based dynamic programming (e.g., value‐function iteration/projection ...
Aleksandar Arandjelović +4 more
wiley +1 more source