Results 51 to 60 of about 860 (206)

Miners' Reward Elasticity and Stability of Competing Proof‐of‐Work Cryptocurrencies

open access: yesInternational Economic Review, Volume 67, Issue 3, Page 957-976, August 2026.
ABSTRACT Proof‐of‐Work cryptocurrencies employ miners to sustain the system through algorithmic reward adjustments. We develop a stochastic model of the multicurrency mining and identify conditions for stable transaction speeds. Bitcoin's algorithm requires hash supply elasticity <$<$1 for stability, while ASERT remains stable for any elasticity and ...
Kohei Kawaguchi   +2 more
wiley   +1 more source

Time‐Varying Dispersion Integer‐Valued GARCH Models

open access: yesJournal of Time Series Analysis, Volume 47, Issue 4, Page 839-853, July 2026.
ABSTRACT We introduce a general class of INteger‐valued Generalized AutoRegressive Conditionally Heteroscedastic (INGARCH) processes by allowing simultaneously time‐varying mean and dispersion parameters. We call such models time‐varying dispersion INGARCH (tv‐DINGARCH) models.
Wagner Barreto‐Souza   +3 more
wiley   +1 more source

The digamma function, Euler–Lehmer constants and their p-adic counterparts [PDF]

open access: yes, 2014
The goal of this article is twofold. We first extend a result of Murty and Saradha \cite{MS} related to the digamma function at rational arguments. Further, we extend another result of the same authors \cite{MS1} about the nature of p-adic Euler-Lehmer ...
Chatterjee, T., Gun, S.
core   +1 more source

Analytical and Numerical Soliton Solutions of the Shynaray II‐A Equation Using the G′G,1G$$ \left(\frac{G^{\prime }}{G},\frac{1}{G}\right) $$‐Expansion Method and Regularization‐Based Neural Networks

open access: yesMathematical Methods in the Applied Sciences, Volume 49, Issue 9, Page 9814-9831, June 2026.
ABSTRACT Nonlinear differential equations play a fundamental role in modeling complex physical phenomena across solid‐state physics, hydrodynamics, plasma physics, nonlinear optics, and biological systems. This study focuses on the Shynaray II‐A equation, a relatively less‐explored parametric nonlinear partial differential equation that describes ...
Aamir Farooq   +4 more
wiley   +1 more source

On Caputo Fractional Derivatives and Caputo–Fabrizio Integral Operators via (s, m)-Convex Functions

open access: yesFractal and Fractional, 2023
This paper contains a variety of new integral inequalities for (s,m)-convex functions using Caputo fractional derivatives and Caputo–Fabrizio integral operators.
Ammara Nosheen   +4 more
doaj   +1 more source

Some Monotonicity Properties of the q-Gamma Function [PDF]

open access: yes, 2005
We prove some properties of completely monotonic functions and apply them to obtain new results on gamma and q-gamma ...
Gao, Peng
core  

Inducing Ferromagnetism by Structural Engineering in a Strongly Spin‐Orbit Coupled Oxide

open access: yesAdvanced Functional Materials, Volume 36, Issue 37, 7 May 2026.
ABSTRACT Magnetic materials with strong spin‐orbit coupling (SOC) are essential for the advancement of spin‐orbitronic devices, as they enable efficient spin‐charge conversion, complex magnetic structures, spin‐valley physics, topological phases and other exotic phenomena.
Ji Soo Lim   +19 more
wiley   +1 more source

Generalized the q-digamma and the q-polygamma functions via neutrices [PDF]

open access: yes, 2017
The q-digamma function ?q(x) and the q-polygamma functions ?(r)q(x), r ? N = {1,2,...} are defined for all x > 0 and 0 < q < 1. In this paper, the neutrices and the neutrix limit are used to define the q-digamma function q(x) and the q-
Ahmed Salem
core   +1 more source

Differential and integral f-means and applications to digamma function [PDF]

open access: yesMathematical Inequalities & Applications, 2000
.
Pečarić, Josip, Elezović, Neven
openaire   +3 more sources

Near‐Surface Maximum Wind Speed Prediction Using XGBoost Model Integrated Bayesian Optimization Algorithm and Based on K‐Nearest Neighbor Mutual Information Feature Selection

open access: yesMeteorological Applications, Volume 33, Issue 3, May/June 2026.
Integrating Bayesian optimization and intelligent feature selection with XGBoost, this model drastically improves maximum wind speed prediction accuracy by 19%–66%. It delivers reliable forecasts for wind energy planning and typhoon risk management.
Xiaoyan Huang   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy