LEADER 03670nam 2200661za 450 001 996466508203316 005 20211129114242.0 010 $a3-540-85994-2 024 7 $a10.1007/978-3-540-85994-9 035 $a(CKB)1000000000546296 035 $a(SSID)ssj0000318948 035 $a(PQKBManifestationID)11265710 035 $a(PQKBTitleCode)TC0000318948 035 $a(PQKBWorkID)10337283 035 $a(PQKB)10132563 035 $a(DE-He213)978-3-540-85994-9 035 $a(MiAaPQ)EBC3063547 035 $a(PPN)131119494 035 $a(EXLCZ)991000000000546296 100 $a20100301d2009 uy 0 101 0 $aeng 135 $aurnn#---mamaa 200 12$aA minicourse on stochastic partial differential equations$b[electronic resource] /$fRobert Dalang, Davar Khoshnevisan, Carl Mueller, David Nualart, Yimin Xiao ; edited by Davar Khoshnevisan, Firas Rassoul-Agha 205 $a1st ed. 2009. 210 $aBerlin $cSpringer$d2009 215 $a1 online resource (xi, 216 p.) 225 1 $aLecture notes in mathematics ;$v1962 311 1 $a3-540-85993-4 320 $aIncludes bibliographical references and index. 327 $aA Primer on Stochastic Partial Differential Equations -- The Stochastic Wave Equation -- Application of Malliavin Calculus to Stochastic Partial Differential Equations -- Some Tools and Results for Parabolic Stochastic Partial Differential Equations -- Sample Path Properties of Anisotropic Gaussian Random Fields -- List of Participants -- Index. 330 $aIn May 2006, The University of Utah hosted an NSF-funded minicourse on stochastic partial differential equations. The goal of this minicourse was to introduce graduate students and recent Ph.D.s to various modern topics in stochastic PDEs, and to bring together several experts whose research is centered on the interface between Gaussian analysis, stochastic analysis, and stochastic partial differential equations. This monograph contains an up-to-date compilation of many of those lectures. Particular emphasis is paid to showcasing central ideas and displaying some of the many deep connections between the mentioned disciplines, all the time keeping a realistic pace for the student of the subject. 410 0$aLecture notes in mathematics (Springer-Verlag) ;$v1962. 606 $aStochastic differential equations 606 $aStochastic partial differential equations 606 $aIntegral equations 606 $aDistribution (Probability theory) 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 606 $aPartial Differential Equations$3https://scigraph.springernature.com/ontologies/product-market-codes/M12155 606 $aIntegral Equations$3https://scigraph.springernature.com/ontologies/product-market-codes/M12090 608 $aElectronic books/ 615 0$aStochastic differential equations. 615 0$aStochastic partial differential equations. 615 0$aIntegral equations. 615 0$aDistribution (Probability theory) 615 14$aProbability Theory and Stochastic Processes. 615 24$aPartial Differential Equations. 615 24$aIntegral Equations. 676 $a519.2 700 $aDalang$b Robert C.$f1961-$0602758 701 $aKhoshnevisan$b Davar$0318960 701 $aMueller$b Carl$01055515 701 $aNualart$b David$f1951-$055692 701 $aXiao$b Yimin$01055516 701 $aRassoul-Agha$b Firas$01055517 906 $aBOOK 912 $a996466508203316 996 $aA minicourse on stochastic partial differential equations$92489006 997 $aUNISA