LEADER 01328nam 2200373 450 001 9910704766203321 005 20130731085403.0 035 $a(CKB)5470000002444062 035 $a(OCoLC)854757711 035 $a(EXLCZ)995470000002444062 100 $a20130731d2013 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aSSA Representative Payee Program $eaddressing long-term challenges requires a more strategic approach : report to congressional requesters 210 1$a[Washington, D.C.] :$cUnited States Government Accountability Office,$d2013. 215 $a1 online resource (ii, 34 pages) $cillustrations 300 $aTitle from title screen (viewed July 17, 2013). 300 $a"May 2013." 300 $a"GAO-13-473." 320 $aIncludes bibliographical references. 517 $aSSA Representative Payee Program 606 $aSocial security beneficiaries$xServices for$zUnited States 606 $aSocial security consultants$zUnited States 615 0$aSocial security beneficiaries$xServices for 615 0$aSocial security consultants 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910704766203321 996 $aSSA Representative Payee Program$93535176 997 $aUNINA LEADER 01402nam 2200505 450 001 9910822227803321 005 20230803201421.0 010 $a1-77197-016-2 035 $a(CKB)3460000000128919 035 $a(OCoLC)884585581 035 $a(CaPaEBR)ebrary10882080 035 $a(SSID)ssj0001140247 035 $a(PQKBManifestationID)12508765 035 $a(PQKBTitleCode)TC0001140247 035 $a(PQKBWorkID)11220582 035 $a(PQKB)10627581 035 $a(MiAaPQ)EBC3003885 035 $a(Au-PeEL)EBL3003885 035 $a(CaPaEBR)ebr10882080 035 $a(OCoLC)870676339 035 $a(EXLCZ)993460000000128919 100 $a20140627h20142014 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aJava 7 $ea comprehensive tutorial /$fBudi Kurniawan 205 $aFirst edition. 210 1$a[Montre?al, Que?bec] :$cBrainy Software Inc.,$d2014. 210 4$dİ2014 215 $a1 online resource (846 p.) 300 $aIncludes index. 311 $a0-9808396-6-1 606 $aJava (Computer program language) 615 0$aJava (Computer program language) 676 $a005.133 700 $aKurniawan$b Budi$01607817 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910822227803321 996 $aJava 7$93987249 997 $aUNINA LEADER 03770nam 22006375 450 001 9910629281503321 005 20251113194834.0 010 $a981-19-7210-9 024 7 $a10.1007/978-981-19-7210-2 035 $a(MiAaPQ)EBC7132890 035 $a(Au-PeEL)EBL7132890 035 $a(CKB)25299328400041 035 $a(PPN)266352928 035 $a(OCoLC)1356579625 035 $a(DE-He213)978-981-19-7210-2 035 $a(EXLCZ)9925299328400041 100 $a20221107d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMulti-fidelity Surrogates $eModeling, Optimization and Applications /$fby Qi Zhou, Min Zhao, Jiexiang Hu, Mengying Ma 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (461 pages) 225 1 $aEngineering Applications of Computational Methods,$x2662-3374 ;$v12 311 08$aPrint version: Zhou, Qi Multi-Fidelity Surrogates Singapore : Springer,c2022 9789811972096 327 $aPreface -- Chapter 1 Introduction -- Chapter 2 Hierarchical multi-fidelity surrogates modeling -- Chapter 3 Non-Hierarchical multi-fidelity surrogates modeling -- Chapter 4 Sequential multi-fidelity surrogates modeling -- Chapter 5 Multi-fidelity surrogates assisted efficient global optimization -- Chapter 6 Multi-fidelity surrogates assisted reliability design optimization -- Chapter 7 Multi-fidelity surrogates assisted robust design optimization -- Chapter 8 Multi-fidelity surrogates assisted evolutional optimization -- Chapter 9 Engineering Applications -- Chapter 10 Concluding remarks. 330 $aThis book investigates two types of static multi-fidelity surrogates modeling approaches, sequential multi-fidelity surrogates modeling approaches, the multi-fidelity surrogates-assisted efficient global optimization, reliability analysis, robust design optimization, and evolutionary optimization. Multi-fidelity surrogates have attracted a significant amount of attention in simulation-based design and optimization in recent years. Some real-life engineering design problems, such as prediction of angular distortion in the laser welding, optimization design of micro-aerial vehicle fuselage, and optimization design of metamaterial vibration isolator, are also provided to illustrate the ability and merits of multi-fidelity surrogates in support of engineering design. Specifically, lots of illustrative examples are adopted throughout the book to help explain the approaches in a more ?hands-on? manner. 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