001441521 000__ 03760cam\a2200625Ia\4500 001441521 001__ 1441521 001441521 003__ OCoLC 001441521 005__ 20230309004744.0 001441521 006__ m\\\\\o\\d\\\\\\\\ 001441521 007__ cr\un\nnnunnun 001441521 008__ 220105s2021\\\\si\\\\\\o\\\\\100\0\eng\d 001441521 019__ $$a1290814901$$a1291316197$$a1294361827 001441521 020__ $$a9789811655760$$q(electronic bk.) 001441521 020__ $$a9811655766$$q(electronic bk.) 001441521 020__ $$z9811655758 001441521 020__ $$z9789811655753 001441521 0247_ $$a10.1007/978-981-16-5576-0$$2doi 001441521 035__ $$aSP(OCoLC)1290841485 001441521 040__ $$aYDX$$beng$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dDCT$$dOCLCF$$dCOM$$dOCLCO$$dSFB$$dUKAHL$$dOCLCQ 001441521 049__ $$aISEA 001441521 050_4 $$aT57 001441521 08204 $$a620.001/51$$223 001441521 1112_ $$aForum "Math-for-Industry"$$d(2018 :$$cShanghai, China) 001441521 24510 $$aProceedings of the Forum "Math-for-Industry" 2018 :$$bbig data analysis, AI, fintech, math in finances and economics /$$cJin Cheng, Xu Dinghua, Osamu Saeki, Tomoyuki Shirai, editors. 001441521 2463_ $$aFMfI 2018 001441521 260__ $$aSingapore :$$bSpringer,$$c2021. 001441521 300__ $$a1 online resource 001441521 336__ $$atext$$btxt$$2rdacontent 001441521 337__ $$acomputer$$bc$$2rdamedia 001441521 338__ $$aonline resource$$bcr$$2rdacarrier 001441521 347__ $$atext file$$bPDF$$2rda 001441521 4901_ $$aMathematics for Industry,$$x2198-3518 ;$$vvolume 35 001441521 5050_ $$aA Brief Review of Some Swarming Models using Stochastic Differential Equations -- Copula-based estimation of Value at Risk for the portfolio problem -- An Overview of Exact Solution Methods for Guaranteed Minimum Death Benefit Options in Variable Annuities -- Determinantal reinforcement learning with techniques to avoid poor local optima -- Surface Denoising based on Normal Filtering in a Robust Statistics Framework -- Mathematical Modeling and Inverse Problem Approaches for Functional -- Clothing Design based on Thermal Mechanism -- Unique continuation on a sphere for Helmholtz equation and its numerical treatments -- Notes on Backward Stochastic Differential Equations for Computing XVA. 001441521 506__ $$aAccess limited to authorized users. 001441521 520__ $$aThis volume includes selected technical papers presented at the Forum "Math-for-Industry" 2018. The papers written by eminent researchers and academics working in the area of industrial mathematics from the viewpoint of financial mathematics, machine learning, neural networks, inverse problems, stochastic modelling, etc., discuss how the ingenuity of science, technology, engineering and mathematics are and will be expected to be utilized. This volume focuses on the role that mathematics-for-industry can play in interdisciplinary research to develop new methods. The contents are useful for researchers both in academia and industry working in interdisciplinary sectors. 001441521 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 10, 2022). 001441521 650_0 $$aIndustrial engineering$$xMathematics$$vCongresses. 001441521 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001441521 655_7 $$aConference papers and proceedings.$$2lcgft 001441521 655_7 $$aActes de congrès.$$2rvmgf 001441521 655_7 $$aCongressos.$$2thub 001441521 655_7 $$aLlibres electrònics.$$2thub 001441521 655_0 $$aElectronic books. 001441521 7001_ $$aCheng, Jin,$$d1963-$$eeditor. 001441521 7001_ $$aDinghua, Xu,$$eeditor. 001441521 7001_ $$aSaeki, Osamu,$$d1955-$$eeditor. 001441521 7001_ $$aShirai, Tomoyuki,$$eeditor. 001441521 77608 $$iPrint version: $$z9811655758$$z9789811655753$$w(OCoLC)1261362393 001441521 830_0 $$aMathematics for industry (Springer (Firm)) ;$$vv. 35.$$x2198-3518 001441521 852__ $$bebk 001441521 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-5576-0$$zOnline Access$$91397441.1 001441521 909CO $$ooai:library.usi.edu:1441521$$pGLOBAL_SET 001441521 980__ $$aBIB 001441521 980__ $$aEBOOK 001441521 982__ $$aEbook 001441521 983__ $$aOnline 001441521 994__ $$a92$$bISE