LEADER 01418nam0-22004091i-450- 001 990005555090203316 005 20101112014353.252 035 $a000555509 035 $aUSA01000555509 035 $a(ALEPH)000555509USA01 035 $a000555509 100 $a20100514d2010-------|0itac50------ba 101 $aita 102 $aIT 105 $a|||| ||||| 200 1 $a<> nuovo sistema dei controlli interni della banca. Riprogettare il sistema dopo Basilea 2, Mifid e complianc$fElisa Dellarosa , Ranieri Razzante 210 $aMilano$cF. Angeli$d2010 225 2$aBanca e nuove competenze$v7 410 1$12001$aBanca e nuove competenze$v7 606 $aBanche$xControllo$2FI 620 $dMilano 676 $a332.10684$v22 700 1$aDELLAROSA,$bElisa$0514393 701 1$aRAZZANTE,$bRanieri$0241041 801 $aIT$bSOL$c20120104 912 $a990005555090203316 950 $aDIP.TO SCIENZE ECONOMICHE - (SA)$dDS 300 332.10684 DEL$e15484 DISES 951 $aDIP.TO SCIENZE ECONOMICHE - (SA)$bDS2010 1E 20100514 951 $a300 332.10684 DEL$b15484 DISES 959 $aBK 969 $aDISES 979 $c20121027$lUSA01$h1533 979 $c20121027$lUSA01$h1613 979 $aPATRY$b90$c20121114$lUSA01$h1447 996 $aNuovo sistema dei controlli interni della banca. Riprogettare il sistema dopo Basilea 2, Mifid e complianc$91131653 997 $aUNISA NUM $aUSA18328 LEADER 03526nam 2200589 a 450 001 9910437601403321 005 20200520144314.0 010 $a1-283-69699-1 010 $a1-4471-4450-3 024 7 $a10.1007/978-1-4471-4450-2 035 $a(CKB)2670000000277595 035 $a(EBL)1030600 035 $a(OCoLC)813213117 035 $a(SSID)ssj0000766981 035 $a(PQKBManifestationID)11436178 035 $a(PQKBTitleCode)TC0000766981 035 $a(PQKBWorkID)10748816 035 $a(PQKB)10350259 035 $a(DE-He213)978-1-4471-4450-2 035 $a(MiAaPQ)EBC1030600 035 $a(PPN)16829348X 035 $a(EXLCZ)992670000000277595 100 $a20120924d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCrowd simulation /$fDaniel Thalmann, Soraia Raupp Musse 205 $a2nd ed. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (304 p.) 300 $aDescription based upon print version of record. 311 $a1-4471-4449-X 320 $aIncludes bibliographical references and index. 327 $aPreface -- Introduction -- State-of-the-Art -- Modeling of Populations -- Virtual Human Animation -- Behavioral Animation of Crowds -- Relating Real Crowds with Virtual Crowds -- Crowd Rendering -- Populated Environments -- Applications: Case Studies -- Index. 330 $aResearch into the methods and techniques used in simulating crowds has developed extensively within the last few years, particularly in the areas of video games and film. Despite recent impressive results when simulating and rendering thousands of individuals, many challenges still exist in this area. The comparison of simulation with reality, the realistic appearance of virtual humans and their behavior, group structure and their motion, and collision avoidance are just some examples of these challenges. For most of the applications of crowds, it is now a requirement to have real-time simulations ? which is an additional challenge, particularly when crowds are very large. Crowd Simulation analyses these challenges in depth and suggests many possible solutions. Daniel Thalmann and Soraia Musse share their experiences and expertise in the application of: Population modeling Virtual human animation Behavioral models for crowds The connection between virtual and real crowds Path planning and navigation Visual attention models Geometric and populated semantic environments Crowd rendering The second edition presents techniques and methods developed since the authors first covered the simulation of crowds in 2007. Crowd Simulation includes in-depth discussions on the techniques of path planning, including a new hybrid approach between navigation graphs and potential-based methods. The importance of gaze attention ? individuals appearing conscious of their environment and of others ? is introduced, and a free-of-collision method for crowds is also discussed. 606 $aCollective behavior$xComputer simulation 606 $aCrowds$xComputer simulation 615 0$aCollective behavior$xComputer simulation. 615 0$aCrowds$xComputer simulation. 676 $a302.3 676 $a302.33 700 $aThalmann$b Daniel$060546 701 $aMusse$b Soraia Raupp$01762480 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437601403321 996 $aCrowd simulation$94202466 997 $aUNINA