東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"COVID-19 (Disease)- Statistical methods." ]

切換: 標籤 | MARC模式 | ISBD

Fractional stochastic differential e...

Atangana, Abdon.

FindBook

Google Book

Amazon

博客來

Fractional stochastic differential equations = applications to COVID-19 modeling /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Fractional stochastic differential equations/ by Abdon Atangana, Seda Igret Araz.
其他題名:	applications to COVID-19 modeling /
作者:	Atangana, Abdon.
其他作者:	Igret Araz, Seda.
出版者:	Singapore :Springer Nature Singapore : : 2022.,
面頁冊數:	xv, 540 p. :ill., digital ;24 cm.
內容註:	History on Covid-19 Spread -- Fractional Diﬀerential and Integral Operators -- Existence and Uniqueness for stochastic diﬀerential equations -- Numerical scheme for a general Stochastic equation with classical and fractional derivatives -- A simple SIR model of Covid-19 spread -- An application of SEIRD approach -- Modelling the transmission of Coronavirus with SEIR approach -- Modeling the spread of Covid-19 with a SIA IR IU approach: Inclusion of unreported infected class -- A comprehensive analysis of Covid-19 model -- Analysis of SEIARD model of Coronavirus transmission -- A mathematical model with Covid-19 reservoir -- A new model with asymptomatic and quarantined classes.
Contained By:	Springer Nature eBook
標題:	Stochastic differential equations. -
電子資源:	https://doi.org/10.1007/978-981-19-0729-6
ISBN:	9789811907296

Fractional stochastic differential equations = applications to COVID-19 modeling /
Atangana, Abdon.

Fractional stochastic differential equationsapplications to COVID-19 modeling /[electronic resource] :by Abdon Atangana, Seda Igret Araz. - Singapore :Springer Nature Singapore :2022. - xv, 540 p. :ill., digital ;24 cm. - Industrial and applied mathematics,2364-6845. - Industrial and applied mathematics..

History on Covid-19 Spread -- Fractional Diﬀerential and Integral Operators -- Existence and Uniqueness for stochastic diﬀerential equations -- Numerical scheme for a general Stochastic equation with classical and fractional derivatives -- A simple SIR model of Covid-19 spread -- An application of SEIRD approach -- Modelling the transmission of Coronavirus with SEIR approach -- Modeling the spread of Covid-19 with a SIA IR IU approach: Inclusion of unreported infected class -- A comprehensive analysis of Covid-19 model -- Analysis of SEIARD model of Coronavirus transmission -- A mathematical model with Covid-19 reservoir -- A new model with asymptomatic and quarantined classes.

This book provides a thorough conversation on the underpinnings of Covid-19 spread modelling by using stochastics nonlocal differential and integral operators with singular and non-singular kernels. The book presents the dynamic of Covid-19 spread behaviour worldwide. It is noticed that the spread dynamic followed process with nonlocal behaviours which resemble power law, fading memory, crossover and stochastic behaviours. Fractional stochastic differential equations are therefore used to model spread behaviours in different parts of the worlds. The content coverage includes brief history of Covid-19 spread worldwide from December 2019 to September 2021, followed by statistical analysis of collected data for infected, death and recovery classes.

ISBN: 9789811907296

Standard No.: 10.1007/978-981-19-0729-6doiSubjects--Topical Terms:

621860
Stochastic differential equations.

LC Class. No.: QA274.23 / .A83 2022

Dewey Class. No.: 519.22

Fractional stochastic differential equations = applications to COVID-19 modeling /
LDR:02543nmm a2200337 a 4500 001 2300684
003 DE-He213
005 20220422153430.0
006 m d
007 cr nn 008maaau
008 230324s2022 si s 0 eng d
020 $a 9789811907296 $q (electronic bk.)
020 $a 9789811907289 $q (paper)
024 7 $a 10.1007/978-981-19-0729-6 $2 doi
035 $a 978-981-19-0729-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA274.23 $b .A83 2022
072 7 $a PBKJ $2 bicssc
072 7 $a MAT034000 $2 bisacsh
072 7 $a PBKJ $2 thema
082 0 4 $a 519.22 $2 23
090 $a QA274.23 $b .A862 2022
100 1 $a Atangana, Abdon. $3 3454022
245 1 0 $a Fractional stochastic differential equations $h [electronic resource] : $b applications to COVID-19 modeling / $c by Abdon Atangana, Seda Igret Araz.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a xv, 540 p. : $b ill., digital ; $c 24 cm.
490 1 $a Industrial and applied mathematics, $x 2364-6845
505 0 $a History on Covid-19 Spread -- Fractional Diﬀerential and Integral Operators -- Existence and Uniqueness for stochastic diﬀerential equations -- Numerical scheme for a general Stochastic equation with classical and fractional derivatives -- A simple SIR model of Covid-19 spread -- An application of SEIRD approach -- Modelling the transmission of Coronavirus with SEIR approach -- Modeling the spread of Covid-19 with a SIA IR IU approach: Inclusion of unreported infected class -- A comprehensive analysis of Covid-19 model -- Analysis of SEIARD model of Coronavirus transmission -- A mathematical model with Covid-19 reservoir -- A new model with asymptomatic and quarantined classes.
520 $a This book provides a thorough conversation on the underpinnings of Covid-19 spread modelling by using stochastics nonlocal differential and integral operators with singular and non-singular kernels. The book presents the dynamic of Covid-19 spread behaviour worldwide. It is noticed that the spread dynamic followed process with nonlocal behaviours which resemble power law, fading memory, crossover and stochastic behaviours. Fractional stochastic differential equations are therefore used to model spread behaviours in different parts of the worlds. The content coverage includes brief history of Covid-19 spread worldwide from December 2019 to September 2021, followed by statistical analysis of collected data for infected, death and recovery classes.
650 0 $a Stochastic differential equations. $3 621860
650 0 $a Fractional differential equations. $3 2184872
650 0 $a COVID-19 (Disease) $x Statistical methods. $3 3590811
650 1 4 $a Differential Equations. $3 907890
650 2 4 $a Stochastic Calculus. $3 3599429
650 2 4 $a Operator Theory. $3 897311
650 2 4 $a Applications of Mathematics. $3 890893
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 891089
650 2 4 $a Numerical Analysis. $3 892626
700 1 $a Igret Araz, Seda. $3 3599428
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Industrial and applied mathematics. $3 2165673
856 4 0 $u https://doi.org/10.1007/978-981-19-0729-6
950 $a Mathematics and Statistics (SpringerNature-11649)