LEADER 03629nam 2200577 a 450 001 9910807078103321 005 20240410191146.0 010 $a9786610201327 010 $a0-306-47648-7 010 $a1-280-20132-0 035 $a(CKB)1000000000007601 035 $a(MiAaPQ)EBC197211 035 $a(MiAaPQ)EBC3035819 035 $a(Au-PeEL)EBL197211 035 $a(OCoLC)70721918 035 $a(Au-PeEL)EBL3035819 035 $a(CaPaEBR)ebr10060504 035 $a(CaONFJC)MIL20132 035 $a(PPN)237936054 035 $a(EXLCZ)991000000000007601 100 $a20020523d2002 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aStochastic and global optimization$b[electronic resource] /$fedited by Gintautus Dzemyda, Vydunas Saltenis, Antanas Zilinskas 205 $a1st ed. 210 $aDordrecht $aLondon $cKluwer Academic$dc2002 215 $a1 online resource (250 pages) 225 1 $aNonconvex optimization and its applications ;$vv. 59 311 $a1-4020-0484-2 320 $aIncludes bibliographical references. 327 $aPreliminaries -- TABLE OF CONTENTS -- THE JUBILEE OF PROF.DR.HABIL.JONAS MOCKUS -- Chapter 1 TOPOGRAPHICAL DIFFERENTIAL EVOLUTION USING PRE-CALCULATED DIFFERENTIALS -- Chapter 2 OPTIMAL TAX DEPRECIATION IN STOCHASTIC INVESTMENT MODEL -- Chapter 3 GLOBAL OPTIMISATION OF CHEMICAL PROCESS FLOWSHEETS -- Chapter 4 ONE-DIMENSIONAL GLOBAL OPTIMIZATION BASED ON STATISTICAL MODELS -- Chapter 5 ANIMATED VISUAL ANALYSIS OF EXTREMAL PROBLEMS -- Chapter 6 TEST PROBLEMS FOR LIPSCHITZ UNIVARIATE GLOBAL OPTIMIZATION WITH MULTIEXTREMAL CONSTRAINTS -- Chapter 7 NUMERICAL TECHNIQUES IN APPLIED MULTISTAGE STOCHASTIC PROGRAMMING -- Chapter 8 ON THE EFFICIENCY AND EFFECTIVENESS OFCONTROLLED RANDOM SEARCH -- Chapter 9 DISCRETE BACKTRACKING ADAPTIVE SEARCH FOR GLOBAL OPTIMIZATION -- Chapter 10 PARALLEL BRANCH-AND-BOUND ATTRACTION METHODS FOR GLOBAL OPTIMIZATION -- Chapter 11 ON SOLUTION OF STOCHASTIC LINEAR PROGRAMS BY DISCRETIZATION METHODS -- Chapter 12 THE STRUCTURE OF MULTIVARIATE MODELS AND THE RANGE OF DEFINITION -- Chapter 13 OPTIMALITY CRITERIA FOR INVESTMENT PROJECTS UNDER UNCERTAINTY. 330 $aThis volume is dedicated to the 70th birthday of Professor J. Mockus, whose scientific interests include theory and applications of global and discrete optimization, and stochastic programming. The papers for the book were selected because they relate to these topics and also satisfy the criterion of theoretical soundness combined with practical applicability. In addition, the methods for statistical analysis of extremal problems are covered. Although statistical approach to global and discrete optimization is emphasized, applications to optimal design and to mathematical finance are also presented. The results of some subjects (for example, statistical models based on one-dimensional global optimization) are summarized and the prospects for developments are justified. 410 0$aNonconvex optimization and its applications ;$vv. 59. 606 $aMathematical optimization 606 $aStochastic processes 615 0$aMathematical optimization. 615 0$aStochastic processes. 676 $a519.3 701 $aDzemyda$b Gintautas$01063020 701 $aSaltenis$b Vydunas$01657943 701 $aZhilinskas$b A$01657944 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910807078103321 996 $aStochastic and global optimization$94011674 997 $aUNINA