LEADER 02350nam 2200613 450 001 996466619903316 005 20220916122405.0 010 $a3-540-39509-1 024 7 $a10.1007/BFb0074500 035 $a(CKB)1000000000437672 035 $a(SSID)ssj0000324808 035 $a(PQKBManifestationID)12091441 035 $a(PQKBTitleCode)TC0000324808 035 $a(PQKBWorkID)10321904 035 $a(PQKB)10367294 035 $a(DE-He213)978-3-540-39509-6 035 $a(MiAaPQ)EBC5591356 035 $a(Au-PeEL)EBL5591356 035 $a(OCoLC)1066194027 035 $a(MiAaPQ)EBC6842845 035 $a(Au-PeEL)EBL6842845 035 $a(PPN)155185314 035 $a(EXLCZ)991000000000437672 100 $a20220916d1985 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aMethods of descent for nondifferentiable optimization /$fKrzysztof C. Kiwiel 205 $a1st ed. 1985. 210 1$aBerlin, Germany ;$aNew York, New York :$cSpringer-Verlag,$d[1985] 210 4$dİ1985 215 $a1 online resource (VIII, 364 p.) 225 1 $aLecture Notes in Mathematics,$x0075-8434 ;$v1133 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-15642-9 327 $aFundamentals -- Aggregate subgradient methods for unconstrained convex minimization -- Methods with subgradient locality measures for minimizing nonconvex functions -- Methods with subgradient deletion rules for unconstrained nonconvex minimization -- Feasible point methods for convex constrained minimization problems -- Methods of feasible directions for nonconvex constrained problems -- Bundle methods -- Numerical examples. 410 0$aLecture Notes in Mathematics,$x0075-8434 ;$v1133 606 $aNondifferentiable functions 606 $aMathematical optimization 606 $aCalculus of variations 615 0$aNondifferentiable functions. 615 0$aMathematical optimization. 615 0$aCalculus of variations. 676 $a519 700 $aKiwiel$b Krzysztof C$g(Krzysztof Czes?aw),$f1953-$0299323 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466619903316 996 $aMethods of descent for nondifferentiable optimization$978470 997 $aUNISA