LEADER 01697nam 2200469 450 001 9910713771703321 005 20210610152201.0 035 $a(CKB)5470000002503965 035 $a(OCoLC)1236450969 035 $a(EXLCZ)995470000002503965 100 $a20210208d2013 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$a1-bromopropane 210 1$a[Washington, D.C.] :$cU.S. Department of Labor, Occupational Safety and Health Administration :$cDepartment of Health and Human Services, CDC, NIOSH,$d2013. 215 $a1 online resource (7 pages) $ccolor illustrations 225 1 $aDHHS (NIOSH) publication ;$vnumber 2013-150 300 $a"OSHA - HA-3676-2013." 300 $a"DTSEM 10/2014." 320 $aIncludes bibliographical references (pages 6-7). 517 1 $aOSHA NIOSH hazard alert 606 $aBromopropane$xHealth aspects$zUnited States 606 $aBromopropane$zUnited States$xSafety measures 606 $aSolvents$xHealth aspects$zUnited States 606 $aSolvents$zUnited States$xSafety measures 606 $aIndustrial safety$zUnited States 615 0$aBromopropane$xHealth aspects 615 0$aBromopropane$xSafety measures. 615 0$aSolvents$xHealth aspects 615 0$aSolvents$xSafety measures. 615 0$aIndustrial safety 712 02$aNational Institute for Occupational Safety and Health, 712 02$aUnited States.$bOccupational Safety and Health Administration, 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910713771703321 996 $a1-bromopropane$93356454 997 $aUNINA LEADER 03563nam 22006615 450 001 9910483172203321 005 20250610110327.0 010 $a3-030-40329-7 010 $a9783030403294$b(eBook) 010 $a3030403297$b(eBook) 010 $z9783030403287$b(print) 024 7 $a10.1007/978-3-030-40329-4 035 $a(CKB)4100000011321097 035 $a(MiAaPQ)EBC6237890 035 $a(DE-He213)978-3-030-40329-4 035 $a(PPN)248595938 035 $a(MiAaPQ)EBC29092830 035 $a(EXLCZ)994100000011321097 100 $a20200626h20202020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSet-valued stochastic integrals and applications /$fMicha? Kisielewicz 210 1$aCham :$cSpringer,$d[2020] 210 4$d©2020 215 $a1 online resource (xii, 281 pages) 225 1 $aSpringer optimization and its applications,$x1931-6836 ;$v157 311 08$a3-030-40328-9 320 $aIncludes bibliographical references and index. 327 $aPreface -- List of Symbols -- 1. Preliminaries -- 2. Multifunctions -- 3. Decomposable Subsets of the Space Lp(T,F,Mu, X) -- 4. Aumann Stochastic Integrals -- 5. Set-Valued Ito Integrals -- 6. Stochastic Differential Inclusions -- 7. Set-Valued Stochastic Differential Equations and Inclusions -- 8. Stochastic Optimal Control Problems -- 9. Mathematical Finance Problems -- References -- Index. 330 $aThis book is among the first concise presentations of the set-valued stochastic integration theory as well as its natural applications, as well as the first to contain complex approach theory of set-valued stochastic integrals. Taking particular consideration of set-valued Itô , set-valued stochastic Lebesgue, and stochastic Aumann integrals, the volume is divided into nine parts. It begins with preliminaries of mathematical methods that are then applied in later chapters containing the main results and some of their applications, and contains many new problems. Methods applied in the book are mainly based on functional analysis, theory of probability processes, and theory of set-valued mappings. The volume will appeal to students of mathematics, economics, and engineering, as well as to mathematics professionals interested in applications of the theory of set-valued stochastic integrals. 410 0$aSpringer optimization and its applications ;$vv. 157 606 $aStochastic differential equations 606 $aProbabilities 606 $aOperator theory 606 $aMeasure theory 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 606 $aOperator Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/M12139 606 $aMeasure and Integration$3https://scigraph.springernature.com/ontologies/product-market-codes/M12120 615 0$aStochastic differential equations. 615 0$aProbabilities. 615 0$aOperator theory. 615 0$aMeasure theory. 615 14$aProbability Theory and Stochastic Processes. 615 24$aOperator Theory. 615 24$aMeasure and Integration. 676 $a519.2 676 $a519.22 700 $aKisielewicz$b M$g(Micha?),$01064687 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483172203321 996 $aSet-Valued Stochastic Integrals and Applications$92907074 997 $aUNINA