LEADER 00965nam0-22002771i-450 001 990001796640403321 005 20190531124313.0 035 $a000179664 035 $aFED01000179664 035 $a(Aleph)000179664FED01 035 $a000179664 100 $a20030910d1987----km-y0itay50------ba 101 0 $aita 200 1 $aAtti del convegno sulla flavescenza dorata della vite, Vicenza, 28 maggio 1987 - Verona, 29 maggio 1987 210 $aVerona$cFondazione Sergio Bolla$d1987 215 $a268 p.$d24 cm 610 0 $aViti - malattie 676 $a634.82 710 12$aConvegno internazionale sulla flavescenza dorata della vite$f<1987 ;$eVicenza-Verona>$0357001 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001796640403321 952 $a60 634.82 FLAV 1987$b5677$fFAGBC 959 $aFAGBC 996 $aAtti del convegno sulla flavescenza dorata della vite, Vicenza, 28 maggio 1987 - Verona, 29 maggio 1987$9410811 997 $aUNINA LEADER 03386nam 2200553 450 001 996466545003316 005 20230421110608.0 010 $a3-030-64712-9 024 7 $a10.1007/978-3-030-64712-4 035 $a(CKB)4100000011786554 035 $a(DE-He213)978-3-030-64712-4 035 $a(MiAaPQ)EBC6511404 035 $a(Au-PeEL)EBL6511404 035 $a(OCoLC)1244630396 035 $a(PPN)254721419 035 $a(EXLCZ)994100000011786554 100 $a20211005d2021 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBayesian and high-dimensional global optimization /$fAnatoly Zhigljavsky, Antanas Z?ilinskas 205 $a1st ed. 2021. 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (VIII, 118 p. 54 illus., 38 illus. in color.) 225 1 $aSpringerBriefs in Optimization,$x2190-8354 311 $a3-030-64711-0 327 $a1 Space-?lling in high-dimensional sets -- 2 Bi-objective decisions and partition based methods in Bayesian global optimization -- 3 Global random search in high dimensions. 330 $aAccessible to a variety of readers, this book is of interest to specialists, graduate students and researchers in mathematics, optimization, computer science, operations research, management science, engineering and other applied areas interested in solving optimization problems. Basic principles, potential and boundaries of applicability of stochastic global optimization techniques are examined in this book. A variety of issues that face specialists in global optimization are explored, such as multidimensional spaces which are frequently ignored by researchers. The importance of precise interpretation of the mathematical results in assessments of optimization methods is demonstrated through examples of convergence in probability of random search. Methodological issues concerning construction and applicability of stochastic global optimization methods are discussed, including the one-step optimal average improvement method based on a statistical model of the objective function. A significant portion of this book is devoted to an analysis of high-dimensional global optimization problems and the so-called ?curse of dimensionality?. An examination of the three different classes of high-dimensional optimization problems, the geometry of high-dimensional balls and cubes, very slow convergence of global random search algorithms in large-dimensional problems , and poor uniformity of the uniformly distributed sequences of points are included in this book. . 410 0$aSpringerBriefs in Optimization,$x2190-8354 606 $aNonconvex programming 606 $aOptimització matemàtica$2thub 606 $aEstadística bayesiana$2thub 608 $aLlibres electrònics$2thub 615 0$aNonconvex programming. 615 7$aOptimització matemàtica 615 7$aEstadística bayesiana 676 $a519.7 700 $aZhigli?avskii?$b A. A$g(Anatolii? Aleksandrovich),$0468354 702 $aZhilinskas$b A. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466545003316 996 $aBayesian and high-dimensional global optimization$91895697 997 $aUNISA