Results 181 to 190 of about 1,157,729 (290)

PARSEC.py: A Python-Based Real-Space Kohn-Sham Density Functional Theory Code Accelerated by Machine Learned Charge Density. [PDF]

open access: yesJ Comput Chem
PARSEC.py is a Python‐based real‐space Kohn–Sham DFT framework that leverages the Python scientific ecosystem for transparent, modular integration of machine‐learned densities and GPU acceleration. This unified design enables more efficient and scalable first‐principles simulations of large chemical and materials systems. ABSTRACT PARSEC.py is a Python‐
Zhang Z   +4 more
europepmc   +2 more sources

Enhancing generalizability theory with mixed‐effects models for heteroscedasticity in psychological measurement: A theoretical introduction with an application from EEG data

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in ...
Philippe Rast, Peter E. Clayson
wiley   +1 more source

Modeling Bloons Tower Defense as a temporal two‐dimensional knapsack problem with irregular shapes and side constraints: integer programming–based approaches

open access: yesInternational Transactions in Operational Research, EarlyView.
Abstract In Tower Defense (TD) games, the objective is to defend a specific point on the game map from mobile units by constructing towers with offensive capabilities. In this work, we focus on Bloons Tower Defense (Bloons TD), one of the earliest and most prominent TD games.
Maxence Delorme, Jakub Malinowski
wiley   +1 more source

NextGenerationEU Landing: Assessing the Territorial Allocation of Italy's Recovery and Resilience Facility Funding

open access: yesJournal of Regional Science, EarlyView.
ABSTRACT In response to the COVID‐19 crisis, the European Union introduced NextGenerationEU, its largest stimulus package to date. We focus on Italy, the program's largest beneficiary, and analyse the territorial distribution of funds. Although centrally coordinated, most expenditures were awarded through calls and implemented by local governments ...
Francesco Scotti   +2 more
wiley   +1 more source

Reinforcement Learning for Jump‐Diffusions, With Financial Applications

open access: yesMathematical Finance, EarlyView.
ABSTRACT We study continuous‐time reinforcement learning (RL) for stochastic control in which system dynamics are governed by jump‐diffusion processes. We formulate an entropy‐regularized exploratory control problem with stochastic policies to capture the exploration–exploitation balance essential for RL.
Xuefeng Gao, Lingfei Li, Xun Yu Zhou
wiley   +1 more source

Market Making With Fads, Informed, and Uninformed Traders

open access: yesMathematical Finance, EarlyView.
ABSTRACT We characterize the solution to a continuous‐time optimal liquidity provision problem in a market populated by informed and uninformed traders. In our model, the asset price exhibits fads —these are short‐term deviations from the fundamental value of the asset.
Emilio Barucci   +2 more
wiley   +1 more source

Digital adiabatic evolution is universally accurate. [PDF]

open access: yesNat Commun
Lu Y   +5 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy