LEADER 00768nam0-22003011i-450- 001 990001272380403321 035 $a000127238 035 $aFED01000127238 035 $a(Aleph)000127238FED01 035 $a000127238 100 $a20000920d1984----km-y0itay50------ba 101 0 $aeng 200 1 $aSparse matrix technology$fSergio Pissanetzky 210 $aLondon [etc.]$cAcademic Press$d1984 610 0 $aMatrici sparse 676 $a512.9 700 1$aPissanetzky,$bSergio$058201 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001272380403321 952 $a9-M-23$b1105$fMA1 959 $aMA1 962 $a65-02 962 $a15-04 962 $a65F50 996 $aSparse matrix technology$932782 997 $aUNINA DB $aING01 LEADER 00816nam0-22002651i-450- 001 990003014780403321 035 $a000301478 035 $aFED01000301478 035 $a(Aleph)000301478FED01 035 $a000301478 100 $a20000920d--------km-y0itay50------ba 101 0 $aita 102 $aIT 200 1 $aAsymptotic Prior to Posterior Analysis for Graphical Gaussian Models$fby Alberto Roverato 225 1 $aMateriali di discussione$fDipartimento di economia politica. Università di Modena$v212 676 $aB/3.1 702 1$aRoverato,$bAlberto 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003014780403321 952 $aPaper$fSES 959 $aSES 996 $aAsymptotic Prior to Posterior Analysis for Graphical Gaussian Models$9467682 997 $aUNINA DB $aING01 LEADER 04037nam 22006615 450 001 9910300154803321 005 20200702141800.0 010 $a3-319-04247-5 024 7 $a10.1007/978-3-319-04247-3 035 $a(CKB)3710000000093976 035 $a(SSID)ssj0001187385 035 $a(PQKBManifestationID)11688775 035 $a(PQKBTitleCode)TC0001187385 035 $a(PQKBWorkID)11243815 035 $a(PQKB)10857499 035 $a(MiAaPQ)EBC1782146 035 $a(DE-He213)978-3-319-04247-3 035 $a(PPN)17782526X 035 $a(EXLCZ)993710000000093976 100 $a20140307d2014 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aNewton-Type Methods for Optimization and Variational Problems /$fby Alexey F. Izmailov, Mikhail V. Solodov 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (587 pages) $cillustrations 225 1 $aSpringer Series in Operations Research and Financial Engineering,$x1431-8598 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-04246-7 320 $aIncludes bibliographical references and index. 327 $a1. Elements of optimization theory and variational analysis -- 2. Equations and unconstrained optimization -- 3. Variational problems: local methods -- 4. Constrained optimization: local methods -- 5. Variational problems: globalization of convergence -- 6. Constrained optimization: globalization of convergence -- 7. Degenerate problems with non-isolated solutions -- A. Miscellaneous material. 330 $aThis book presents comprehensive state-of-the-art theoretical analysis of the fundamental Newtonian and Newtonian-related approaches to solving optimization and variational problems. A central focus is the relationship between the basic Newton scheme for a given problem and algorithms that also enjoy fast local convergence. The authors develop general perturbed Newtonian frameworks that preserve fast convergence and consider specific algorithms as particular cases within those frameworks, i.e., as perturbations of the associated basic Newton iterations. This approach yields a set of tools for the unified treatment of various algorithms, including some not of the Newton type per se. Among the new subjects addressed is the class of degenerate problems. In particular, the phenomenon of attraction of Newton iterates to critical Lagrange multipliers and its consequences as well as stabilized Newton methods for variational problems and stabilized sequential quadratic programming for optimization. This volume will be useful to researchers and graduate students in the fields of optimization and variational analysis. 410 0$aSpringer Series in Operations Research and Financial Engineering,$x1431-8598 606 $aOperations research 606 $aManagement science 606 $aMathematical optimization 606 $aOperations Research, Management Science$3https://scigraph.springernature.com/ontologies/product-market-codes/M26024 606 $aContinuous Optimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26030 606 $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008 615 0$aOperations research. 615 0$aManagement science. 615 0$aMathematical optimization. 615 14$aOperations Research, Management Science. 615 24$aContinuous Optimization. 615 24$aOptimization. 676 $a515.64 700 $aIzmailov$b Alexey F$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721639 702 $aSolodov$b Mikhail V$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300154803321 996 $aNewton-Type Methods for Optimization and Variational Problems$92547187 997 $aUNINA