Results 171 to 180 of about 6,278,898 (215)

Evaluating the Perceptual Space of Surface Noise for Visualization

open access: yesComputer Graphics Forum, EarlyView.
Abstract Surface noise provides a geometric alternative to color for encoding scalar information on surfaces, yet its perceptual characteristics remain insufficiently understood. We present a systematic investigation of how variations in noise amplitude and frequency are perceived when applied to 3D surfaces. Across three online perceptual studies with
A. Sterzik, N. Merk, K. Lawonn
wiley   +1 more source

Differentiable Randers‐Finsler Eikonal Solvers

open access: yesComputer Graphics Forum, EarlyView.
Abstract Fast and differentiable solvers for anisotropic and asymmetric distance fields are a key primitive in geometry processing, enabling gradient‐based optimization over metrics, drift fields, and downstream objectives that depend on geodesic distances and geodesics.
Barak Gahtan   +2 more
wiley   +1 more source

A Splitting Architecture for Exact Reduced Coulomb Friction

open access: yesComputer Graphics Forum, EarlyView.
Abstract Existing approaches to frictional contact dynamics typically either modify the Coulomb law to improve numerical robustness or solve the exact law in a fully coupled monolithic form. However, in its reduced form, exact Coulomb friction can be written as a cone complementarity problem with an augmented velocity, which reveals a natural split ...
Hongcheng Song   +3 more
wiley   +1 more source

Concentration and convergence: Regional productivity in Türkiye, 1950–2020

open access: yesThe Economic History Review, EarlyView.
Abstract This paper presents a comprehensive long‐run analysis of regional productivity convergence in Türkiye using a novel dataset combining newly compiled employment estimates with recent output estimates. The seven‐decade analysis reveals substantial productivity convergence driven by labour reallocation away from agriculture alongside within ...
Ulaş Karakoç
wiley   +1 more source

From Regression to Reasoning: Predicting M&A Announcement Returns With Large Language Models

open access: yesEuropean Financial Management, EarlyView.
ABSTRACT This study investigates whether large language models (LLMs) can predict short‐term market reactions to M&A announcements. We prompt OpenAI's latest reasoning models (o3, GPT‐5, and GPT‐5.1) to forecast whether the combined market value of acquirer and target will increase or decrease, drawing on deal‐, firm‐, and macroeconomic data for large ...
Maximilian Schreiter   +2 more
wiley   +1 more source

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