LEADER 01339nam2-2200409---450- 001 990001649020203316 005 20080509104024.0 035 $a000164902 035 $aUSA01000164902 035 $a(ALEPH)000164902USA01 035 $a000164902 100 $a20040511h1978----km-y0itay50------ba 101 0 $ager 102 $aDE 105 $ay|||z|||001yy 200 1 $a<>: Frühe Schriften$fMartin Heidegger 210 $aFrankfurt am Main$cKlostermann$dcopyr. 1978 215 $aXII, 454 p.$d21 cm 300 $aNella p. contro il front.: 1. Abt.: Veröffentlichte Schriften 1914-1970 461 1$1001000164897$12001$aGesamtausgabe 676 $a193 700 1$aHEIDEGGER,$bMartin$010351 801 0$aIT$bsalbc$gISBD 912 $a990001649020203316 951 $aII.1.D. 2679/1(IV C 2278/1 1)$b2897 L.M.$cII.1.$d00025865 959 $aBK 969 $aUMA 979 $aSIAV8$b10$c20040511$lUSA01$h1216 979 $aSIAV8$b10$c20040511$lUSA01$h1224 979 $aSIAV8$b10$c20040511$lUSA01$h1224 979 $aCOPAT3$b90$c20050627$lUSA01$h1215 979 $aANNAMARIA$b90$c20080509$lUSA01$h0934 979 $aANNAMARIA$b90$c20080509$lUSA01$h0936 979 $aANNAMARIA$b90$c20080509$lUSA01$h1037 979 $aANNAMARIA$b90$c20080509$lUSA01$h1040 996 $aFrühe Schriften$9145790 997 $aUNISA LEADER 02065nam 22006375 450 001 9910164994703321 005 20230807211031.0 010 $a3-11-141099-4 024 7 $a10.1515/9783111410999 035 $a(CKB)3360000000516285 035 $a(SSID)ssj0001590386 035 $a(PQKBManifestationID)16284183 035 $a(PQKBTitleCode)TC0001590386 035 $a(PQKBWorkID)14879914 035 $a(PQKB)10987860 035 $a(MiAaPQ)EBC4804231 035 $a(DE-B1597)70169 035 $a(OCoLC)1002222639 035 $a(OCoLC)1004876124 035 $a(OCoLC)1011440293 035 $a(OCoLC)1013957125 035 $a(OCoLC)979759292 035 $a(OCoLC)987942316 035 $a(OCoLC)992455595 035 $a(OCoLC)999360763 035 $a(DE-B1597)9783111410999 035 $a(EXLCZ)993360000000516285 100 $a20190906d2015 fg 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLanguage and social reality $eThe case of telling the convict code /$fD. Lawrence Wieder 205 $aReprint 2015 210 1$aBerlin ;$aBoston : $cDe Gruyter Mouton, $d[2015] 210 4$d©1974 215 $a1 online resource (236 pages) 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-11-104728-8 320 $aIncludes bibliographical references and index. 327 $tFrontmatter -- $tACKNOWLEDGMENTS -- $tTABLE OF CONTENTS -- $tPREFACE / $rZimmerman, Don H. -- $tPART I -- $tPART II -- $tBIBLIOGRAPHY -- $tINDEX 606 $aCrime$zCalifornia$zLos Angeles$vCase studies 606 $aCriminal behavior, Prediction of 606 $aHalfway houses$zCalifornia$zLos Angeles 615 0$aCrime 615 0$aCriminal behavior, Prediction of. 615 0$aHalfway houses 676 $a364.973 700 $aWieder$b D. Lawrence, $0193393 801 0$bDE-B1597 801 1$bDE-B1597 906 $aBOOK 912 $a9910164994703321 996 $aLanguage and social reality$9517417 997 $aUNINA LEADER 06541nam 22007815 450 001 9910437872403321 005 20251030140406.0 010 $a1-283-86508-4 010 $a1-4614-5131-0 024 7 $a10.1007/978-1-4614-5131-0 035 $a(CKB)2670000000299666 035 $a(EBL)1030663 035 $a(OCoLC)823384959 035 $a(SSID)ssj0000811539 035 $a(PQKBManifestationID)11956508 035 $a(PQKBTitleCode)TC0000811539 035 $a(PQKBWorkID)10850349 035 $a(PQKB)10804264 035 $a(DE-He213)978-1-4614-5131-0 035 $a(MiAaPQ)EBC1030663 035 $a(PPN)168302128 035 $a(EXLCZ)992670000000299666 100 $a20121205d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aOptimization, Simulation, and Control /$fedited by Altannar Chinchuluun, Panos M. Pardalos, Rentsen Enkhbat, Efstratios N. Pistikopoulos 205 $a1st ed. 2013. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2013. 215 $a1 online resource (350 p.) 225 1 $aSpringer Optimization and Its Applications,$x1931-6836 ;$v76 300 $aDescription based upon print version of record. 311 08$a1-4899-8781-9 311 08$a1-4614-5130-2 320 $aIncludes bibliographical references. 327 $aOptimization, Simulation,and Control; Preface; Contents; On the Composition of Convex Envelopes for Quadrilinear Terms; 1 Introduction; 2 Motivation and Literature; 3 The Composition of Convex Envelopes; 3.1 Alphabets, Languages, and Grammars; 3.2 Mathematical Expression Language: Syntax; 3.3 Mathematical Expression Language: Semantics; 3.3.1 Exact Semantics; 3.3.2 Relaxed Semantics; 3.4 Comparison of Relaxed Semantics; 4 Computational Results; 5 Conclusion; References; An Oriented Distance Function Application to Gap Functions for Vector Variational Inequalities; 1 Introduction 327 $a2 Mathematical preliminaries3 Gap functions for vector variational inequalities; 4 Extension to set-valued problems; 4.1 Vector variational inequalities with set-valued mappings; 4.2 Vector variational-like inequalities with set-valued mappings; 4.3 Generalized vector variational-like inequalities with set-valued mappings; References; Optimal Inscribing of Two Balls into Polyhedral Set; 1 Introduction; 2 Optimal Inscribing of Two Balls; 3 Continuity and Differentiability of Auxiliary Functions; 4 Numerical Examples; References 327 $aMathematical Programs with Equilibrium Constraints: A Brief Survey of Methods and Optimality Conditions1 Variational Inequality Problem; 1.1 Existence and Convexity of the Solution Set of VIP; 1.2 Relationship to Other Problems; 1.3 Traffic Equilibrium; 2 Mathematical Programs with Equilibrium Constraints; 3 Methods for Solving the MPEC; 3.1 Penalty Techniques; 3.2 Nondifferential Optimization; 3.3 Smoothing Methods; 4 Optimality Conditions for MPEC; References; Linear Programming with Interval Data: A Two-Level Programming Approach; 1 Introduction; 2 Problem Formulation 327 $a3 One-Level Transformation3.1 Lower Bound; 3.2 Upper Bound; 3.3 Special Case; 4 An Example; 5 Conclusion; References; Quantifying Retardation in Simulation Based Optimization; 1 Introduction; 2 One-Shot Optimization and Problem Characteristics; 3 The Newton Scenario for Separable Adjoints; 4 Jacobi Method on an Elliptic Problem; 5 Multigrid Method; 6 Summary and Conclusion; References; Evolutionary Algorithm for Generalized Nash Equilibrium Problems; 1 Introduction; 2 Generalized Nash Equilibrium Problem; 3 Equivalent Reformulations; 4 Evolutionary Algorithm; 5 Numerical Experiments 327 $a6 ConclusionReferences; Scalar and Vector Optimization with Composed Objective Functions and Constraints; 1 Introduction; 2 Notations and Preliminaries; 3 Some Dual Optimization Problems; 3.1 The Scalar Optimization Problem (PS); 3.2 The Scalar Optimization Problem (PS?); 3.3 The Vector Optimization Problem (PV); 3.4 The Vector Optimization Problem (PVm); References; A PTAS for Weak Minimum Routing Cost Connected Dominating Set of Unit Disk Graph; 1 Introduction; 2 Problem Transformation; 3 A Constant Approximation; 4 A PTAS; References 327 $aPower Control in Wireless Ad Hoc Networks: Stability and Convergence Under Uncertainties 330 $aOptimization, simulation and control are very powerful tools in engineering and mathematics, and play an increasingly important role. Because of their various real-world applications in industries such as finance, economics, and telecommunications, research in these fields is accelerating at a rapid pace, and there have been major algorithmic and theoretical developments in these fields in the last decade. This volume brings together the latest developments in these areas of research and presents applications of these results to a wide range of real-world problems. The book is composed of invited contributions by experts from around the world who work to develop and apply new optimization, simulation, and control techniques either at a theoretical level or in practice. Some key topics presented include: equilibrium problems, multi-objective optimization, variational inequalities, stochastic processes, numerical analysis, optimization in signal processing, and various other interdisciplinary applications. This volume can serve as a useful resource for researchers, practitioners, and advanced graduate students of mathematics and engineering working in research areas where results in optimization, simulation and control can be applied. 410 0$aSpringer Optimization and Its Applications,$x1931-6836 ;$v76 606 $aMathematical optimization 606 $aSystem theory 606 $aControl theory 606 $aMathematical models 606 $aOptimization 606 $aSystems Theory, Control 606 $aMathematical Modeling and Industrial Mathematics 615 0$aMathematical optimization. 615 0$aSystem theory. 615 0$aControl theory. 615 0$aMathematical models. 615 14$aOptimization. 615 24$aSystems Theory, Control. 615 24$aMathematical Modeling and Industrial Mathematics. 676 $a519.6 701 $aChinchuluun$b Altannar$0507428 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437872403321 996 $aOptimization, simulation, and control$94195224 997 $aUNINA