LEADER 02492nam 22005295 450 001 9910367581703321 005 20191022022751.0 010 $a3-11-166584-4 024 7 $a10.1515/9783111665849 035 $a(CKB)4100000007757722 035 $a(MiAaPQ)EBC5721916 035 $a(DE-B1597)64467 035 $a(OCoLC)1089610484 035 $a(DE-B1597)9783111665849 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/52879 035 $a(oapen)doab52879 035 $a(EXLCZ)994100000007757722 100 $a20191022d2019 fg 101 0 $ager 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMathematik für die Wirtschaftspraxis /$fArthur, jr. Schleifer, J. Laurie Snell, Gerald L. Thompson, Hans-Jürgen Zimmermann, John G. Kemeny 205 $aReprint 2019 210 $cDe Gruyter$d1966 210 1$aBerlin ;$aBoston : $cDe Gruyter, $d[2019] 210 4$d©1966 215 $a1 online resource (512 pages) 311 08$a3-11-128110-8 327 $tFrontmatter -- $tVorwort zur deutschen Ausgabe -- $tVorwort -- $tInhalt -- $tI. Satzverknüpfungen -- $tII. Klassen und Unterklassen -- $tIII. Aufspalten und Zählen -- $tIV. Wahrscheinlichkeitstheorie -- $tV. Vektoren und Matrizen -- $tVI. Finanzmathematik -- $tVII. Lineares Programmieren -- $tVIII. Die Theorie der Spiele -- $tAnhang -- $tSachverzeichnis -- $tBackmatter 330 $aTo celebrate the 270th anniversary of the De Gruyter publishing house, the company is providing permanent open access to 270 selected treasures from the De Gruyter Book Archive. Titles will be made available to anyone, anywhere at any time that might be interested. The DGBA project seeks to digitize the entire backlist of titles published since 1749 to ensure that future generations have digital access to the high-quality primary sources that De Gruyter has published over the centuries. 606 $aBusiness$xMathematical models 615 0$aBusiness$xMathematical models. 676 $a338.00151 700 $aSnell$b J. Laurie$4auth$012469 702 $aKemeny$b John G., 702 $aSchleifer$b Arthur, jr., 702 $aSnell$b J. Laurie, 702 $aThompson$b Gerald L., 702 $aZimmermann$b Hans-Jürgen, 801 0$bDE-B1597 801 1$bDE-B1597 906 $aBOOK 912 $a9910367581703321 996 $aMathematik für die Wirtschaftspraxis$94419821 997 $aUNINA LEADER 03930nam 22007695 450 001 9910564695303321 005 20251113181615.0 010 $a981-19-0729-3 024 7 $a10.1007/978-981-19-0729-6 035 $a(MiAaPQ)EBC6961454 035 $a(Au-PeEL)EBL6961454 035 $a(CKB)21605609900041 035 $a(PPN)262170302 035 $a(OCoLC)1312664636 035 $a(DE-He213)978-981-19-0729-6 035 $a(EXLCZ)9921605609900041 100 $a20220422d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFractional Stochastic Differential Equations $eApplications to Covid-19 Modeling /$fby Abdon Atangana, Seda ?gret Araz 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (552 pages) 225 1 $aIndustrial and Applied Mathematics,$x2364-6845 311 08$aPrint version: Atangana, Abdon Fractional Stochastic Differential Equations Singapore : Springer,c2022 9789811907289 327 $aHistory on Covid-19 Spread -- Fractional Di?erential and Integral Operators -- Existence and Uniqueness for stochastic di?erential 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. 330 $aThis book provides a thorough conversation on the underpinnings of Covid-19 spread modelling by using stochastics nonlocal differential and integral operators with singular and non-singular kernels. The book presents the dynamic of Covid-19 spread behaviour worldwide. It is noticed that the spread dynamic followed process with nonlocal behaviours which resemble power law, fading memory, crossover and stochastic behaviours. Fractional stochastic differential equations are therefore used to model spread behaviours in different parts of the worlds. The content coverage includes brief history of Covid-19 spread worldwide from December 2019 to September 2021, followed by statistical analysis of collected data for infected, death and recovery classes. 410 0$aIndustrial and Applied Mathematics,$x2364-6845 606 $aDifferential equations 606 $aStochastic processes 606 $aCalculus 606 $aOperator theory 606 $aMathematics 606 $aMathematical models 606 $aNumerical analysis 606 $aDifferential Equations 606 $aStochastic Calculus 606 $aOperator Theory 606 $aApplications of Mathematics 606 $aMathematical Modeling and Industrial Mathematics 606 $aNumerical Analysis 615 0$aDifferential equations. 615 0$aStochastic processes. 615 0$aCalculus. 615 0$aOperator theory. 615 0$aMathematics. 615 0$aMathematical models. 615 0$aNumerical analysis. 615 14$aDifferential Equations. 615 24$aStochastic Calculus. 615 24$aOperator Theory. 615 24$aApplications of Mathematics. 615 24$aMathematical Modeling and Industrial Mathematics. 615 24$aNumerical Analysis. 676 $a519.22 700 $aAtangana$b Abdon$0782096 702 $aI?gret Araz$b Seda 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910564695303321 996 $aFractional stochastic differential equations$92966652 997 $aUNINA