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We are witnessing the birth of a new variety of pharmacokinetics where non-integer-order differential equations are employed to study the time course of drugs in the body: this is dubbed "fractional pharmacokinetics." The presence of…

There has recently been considerable interest in using a nonstandard piecewise approximation to formulate fractional order differential equations as difference equations that describe the same dynamical behaviour and are more amenable to a…

数值分析 · 数学 2016-05-09 Christopher N Angstmann , Bruce I Henry , Anna V McGann

We propose conformable Adomian decomposition method (CADM) for fractional partial differential equations (FPDEs). This method is a new Adomian decomposition method (ADM) based on conformable derivative operator (CDO) to solve FPDEs. At the…

综合数学 · 数学 2017-04-11 Omer Acan , Dumitru Baleanu

Identification of fractional order systems is considered from an algebraic point of view. It allows for a simultaneous estimation of model parameters and fractional (or integer) orders from input and output data. It is exact in that no…

最优化与控制 · 数学 2013-02-19 Nicole Gehring , Joachim Rudolph

In this paper, a new fractional operator of variable order with the use of the monotonic increasing function is proposed in sense of Caputo type. The properties in term of the Laplace and Fourier transforms are analyzed and the results for…

统计力学 · 物理学 2017-07-18 Xiao-Jun Yang , J. A. Tenreiro Machado

Fractional differential equations model processes with memory effects, providing a realistic perspective on complex systems. We examine time-delayed differential equations, discussing first-order and fractional Caputo time-delayed…

广义相对论与量子宇宙学 · 物理学 2025-05-08 Bayron Micolta-Riascos , Byron Droguett , Gisel Mattar Marriaga , Genly Leon , Andronikos Paliathanasis , Luis del Campo , Yoelsy Leyva

Fractional-order differentiation has many characteristics different from integer-order differentiation. These characteristics can be applied to the optimization algorithms of artificial neural networks to obtain better results. However, due…

机器学习 · 计算机科学 2025-06-10 Xiaojun zhou , Chunna Zhao , Yaqun Huang , Chengli Zhou , Junjie Ye , Kemeng Xiang

A fractional derivative is a temporally nonlocal operation which is computationally intensive due to inclusion of the accumulated contribution of function values at past times. In order to lessen the computational load while maintaining the…

数值分析 · 数学 2021-11-01 Daegeun Yoon , Donghyun You

This work introduces and analyzes a finite element scheme for evolution problems involving fractional-in-time and in-space differentiation operators up to order two. The left-sided fractional-order derivative in time we consider is employed…

数值分析 · 数学 2018-04-17 Gabriel Acosta , Francisco M. Bersetche , Juan Pablo Borthagaray

In this paper, we are interested in the study of a problem with fractional derivatives having boundary conditions of integral types. The problem represents a Caputo type advection-diffusion equation where the fractional order derivative…

数值分析 · 数学 2021-02-23 Saadoune Brahimi , Ahcene Merad , Adem Kilicman

This paper proposes a fractional order gradient method for the backward propagation of convolutional neural networks. To overcome the problem that fractional order gradient method cannot converge to real extreme point, a simplified…

最优化与控制 · 数学 2020-01-07 Dian Sheng , Yiheng Wei , Yuquan Chen , Yong Wang

In this paper, we propose and analyze a new fractional order malaria model with temporary immunity. We extend the existing malaria model to include fractional derivatives. Basic reproduction number is computed using the next generation…

动力系统 · 数学 2016-07-15 E. Okyere , F. T. Oduro , S. K. Amponsah , I. K. Dontwi , N. K. Frempong

Fractional gradient descent has been studied extensively, with a focus on its ability to extend traditional gradient descent methods by incorporating fractional-order derivatives. This approach allows for more flexibility in navigating…

机器学习 · 计算机科学 2024-11-25 Teodor Alexandru Szente , James Harrison , Mihai Zanfir , Cristian Sminchisescu

An interesting feature of growth in animals is that different parts of the body grow at approximately the same rate. This property is called proportionate growth. In this paper, we review our recent work on patterns formed by adding $N$…

统计力学 · 物理学 2014-11-18 Deepak Dhar , Tridib Sadhu

In this article, the order of some classes of fractional linear differential equations is determined, based on asymptotic behavior of the solution as time tends to infinity. The order of fractional derivative has been proved to be of great…

偏微分方程分析 · 数学 2017-10-04 Mirko D'Ovidio , Paola Loreti , Alireza Momenzadeh , Sima Sarv Ahrabi

The determination of $\alpha_s$ from hadronic $\tau$ decays is revisited, with a special emphasis on the question of higher-order perturbative corrections and different possibilities of resumming the perturbative series with the…

高能物理 - 唯象学 · 物理学 2009-01-06 Martin Beneke , Matthias Jamin

The extraction of natural gas from the earth has been shown to be governed by differential equations concerning flow through a porous material. Recently, models such as fractional differential equations have been developed to model this…

应用统计 · 统计学 2017-09-27 Joshua Whitlinger , Edward L Boone , Ryad Ghanam

We obtain the state probabilities of various fractional versions of the classical homogeneous Poisson process using an alternate and simpler method known as the Adomian decomposition method (ADM). Generally these state probabilities are…

概率论 · 数学 2021-07-28 K. K. Kataria , P. Vellaisamy

In this paper, we utilize ADCSO (Adaptive Dynamic Cat Swarm Optimization) to estimate the parameters of Fractional Order Grey Model. The parameters of Fractional Order Grey Model affect the prediction accuracy of the model. In order to…

最优化与控制 · 数学 2018-05-24 Binyan Lin , Fei Gao , Meng Wang , Yuyao Xiong , Ansheng Li

A fractional diffusion equation with advection term is rigorously derived from a kinetic transport model with a linear turning operator, featuring a fat-tailed equilibrium distribution and a small directional bias due to a given vector…

偏微分方程分析 · 数学 2015-10-19 Pedro Aceves-Sanchez , Christian Schmeiser