Results 81 to 90 of about 1,805 (213)

Register‐Efficient Linear‐Time Evaluation in the Bernstein Basis

open access: yesComputer 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

Quantitative Metrics for Edge Bundling of Network Visualizations

open access: yesComputer Graphics Forum, EarlyView.
Abstract Edge bundling is widely used for reducing visual clutter in large 2D network and trajectory visualizations. Various edge bundling methods have been proposed, each producing qualitatively distinct outputs for the same data; however, few quantitative metrics exist for systematic evaluation. In this paper, we propose a set of quantitative metrics
M. Wallinger   +3 more
wiley   +1 more source

Class Angular Distortion Index for Dimensionality Reduction

open access: yesComputer 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

A Boltzmann-type Approach to the Formation of Wealth Distribution Curves [PDF]

open access: yes
Kinetic market models have been proposed recently to account for the redistribution of wealth in simple market economies. These models allow to develop a qualitative theory, which is based on methods borrowed from the kinetic theory of rarefied gases ...
Bertram Düring   +2 more
core  

Combinatorics and Computations in Tropical Mathematics [PDF]

open access: yes, 2017
In recent decades, tropical mathematics gradually evolved as a field of study in mathematics and it has more and more interactions with other fields and applications.
Lin, Bo
core  

Scalable Computation of Topological Abstractions for Scalar Data

open access: yesComputer 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

Survey on Visualization of Information Diffusion over Networks

open access: yesComputer Graphics Forum, EarlyView.
Abstract Information Diffusion (ID) describes how a value (e.g., a pathogen, a rumor, a packet) spreads through an underlying “medium” network of elements (e.g., a social or computer network). Understanding the information diffusion process is essential to predicting trends, controlling misinformation, and enhancing decision‐making as well as ...
T. Baumgartl   +8 more
wiley   +1 more source

Fast Nodal Hessian Computation for Peridynamic Fracture Simulation

open access: yesComputer Graphics Forum, EarlyView.
A fast, exact nodal Hessian computation for Non‐Ordinary State‐Based Peridynamics is introduced through analytical simplification and a warp‐centric GPU strategy. The method accelerates preconditioned solvers and Vertex Block Descent, enabling interactive fracture simulation with physical accuracy.
Yuxiong Qin   +2 more
wiley   +1 more source

The Role of Dice in the Emergence of the Probability Calculus

open access: yesInternational Statistical Review, EarlyView.
Summary The early development of the probability calculus was clearly influenced by the roll of dice. However, while dice have been cast since time immemorial, documented calculations on the frequency of various dice throws date back only to the mid‐13th century.
David R. Bellhouse, Christian Genest
wiley   +1 more source

On the use of the principle of maximum entropy to improve the robustness of bivariate spline least-squares approximation

open access: yes
We consider fitting a bivariate spline regression model to data using a weighted least-squares cost function, with weights that sum to one to form a discrete probability distribution.
Amodio, P., Iavernaro, F., Brugnano, L.
core   +1 more source

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