Higher order numerical schemes for the solution of fractional delay differential equations

数学 订单(交换) 应用数学 时滞微分方程 微分方程 数值分析 分数阶微积分 数学分析 财务 经济
作者
Naga Raju Gande,Harshita Madduri
出处
期刊:Journal of Computational and Applied Mathematics [Elsevier BV]
卷期号:402: 113810-113810 被引量:1
标识
DOI:10.1016/j.cam.2021.113810
摘要

Caputo and Riemann–Liouville (R–L) are the most commonly used fractional derivative operators in the field of fractional calculus. We present here two higher-order schemes, based on R–L and Caputo definitions for the solution of fractional delay differential equations (FDDEs). For the R–L fractional derivative, interpolation-based approximation and the finite difference based approximation for Caputo fractional (C-F) derivative are employed to obtain the higher-order schemes i . e . , O h 3 − α , α ∈ ( 0 , 1 ) , the fractional order for FDDEs. For the proposed schemes the stability and error estimates are presented. The noted distinct feature is that the finite difference based approximation takes almost 50% less computation time than the interpolation-based approximation. Varied examples have been worked out to verify the efficacy of the schemes, including non-linear problems such as, the chaotic behavior occurring in the fractional order Ikeda equation, the fractional order version of the population dynamics of Lemmings and the dynamical model for sea surface temperature. • Two efficient higher order schemes are presented for solving fractional delay DEs. • One of the scheme is based on finite difference and other is interpolation based. • Stability and error estimates for both the schemes are discussed. • To verify the efficacy of the schemes, solved nonlinear and few real life problems. • Computational efficiency of both the schemes is presented.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
2秒前
无华完成签到,获得积分10
2秒前
4秒前
6秒前
CipherSage应助daihq3采纳,获得10
6秒前
hanghang发布了新的文献求助30
6秒前
7秒前
8秒前
吴威龙发布了新的文献求助10
8秒前
Cyrilla发布了新的文献求助10
10秒前
领导范儿应助ash采纳,获得10
11秒前
haowang发布了新的文献求助10
11秒前
落雪无痕发布了新的文献求助10
13秒前
翁宇轩发布了新的文献求助10
13秒前
Copyright应助弗洛伊德的梦采纳,获得10
15秒前
xxx完成签到,获得积分10
15秒前
琳666发布了新的文献求助10
17秒前
顾矜应助是玖儿啊采纳,获得10
19秒前
YANGTIAN完成签到,获得积分10
19秒前
22秒前
24秒前
25秒前
25秒前
无情凡白发布了新的文献求助10
25秒前
25秒前
小米渣完成签到,获得积分10
25秒前
luoman5656完成签到,获得积分10
26秒前
lizhengguang完成签到,获得积分10
26秒前
背后夜柳发布了新的文献求助20
27秒前
zara发布了新的文献求助30
27秒前
29秒前
31秒前
翁宇轩发布了新的文献求助10
34秒前
35秒前
忧郁的夜雪完成签到,获得积分10
35秒前
镜哥完成签到,获得积分10
36秒前
37秒前
dmy完成签到,获得积分10
38秒前
39秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
适配Micro-LED色转换的高兼容性量子点负性光刻胶制备与工艺研究 500
Direct and Iterative Linear System Solvers 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7310783
求助须知:如何正确求助?哪些是违规求助? 8927572
关于积分的说明 18921797
捐赠科研通 6972502
什么是DOI,文献DOI怎么找? 3213266
关于科研通互助平台的介绍 2381514
邀请新用户注册赠送积分活动 2191355