00770nam0-22002891i-450-990003158150403321000315815FED01000315815(Aleph)000315815FED0100031581520000920d1970----km-y0itay50------baENGITPolitical ConflictEssays in Political SociologyMorris JanowitzChicagoQuadrangle Books1970xii, 271 p.22 cmSociologia politica1235019100Janowitz,MorrisITUNINARICAUNIMARCBK99000315815040332119100 JAN10655/ISESSESPolitical Conflict458697UNINA00884nam0 2200253 450 00000429620181002150156.020021104d1957----km-y0itay50------baitaIT<<La >>responsabilità contrattuale del prestatore di lavoroGiuseppe Federico ManciniMilanoGiuffrè1957VII, 176 p.25 cmSeminario giuridico della università di Bologna192001Seminario giuridico della università di BolognaContratti di lavoroResponsabilità344.4501891Mancini,Giuseppe Federico4104ITUNIPARTHENOPERICAUNIMARC000004296NAVA4331/1111503220021104331/111(1)16701NAVA4Responsabilità contrattuale del prestatore di lavoro232217UNIPARTHENOPE01017nlm 2200277Ia 450 99642285010331620210618071038.019840110d16[55--- uy |engUKdrcnu<<The>> sun's-darlnga moral masque, as it hath been often presented by Their Majesties servants at the Cock-pit in Drury Lane, with great applausewritten by John Foard and Tho. DeckerLondonPrinted by J. Bell, for Andrew Penneycuicke16[5]7Testo elettronico (PDF) ([8], 43 p.)Base dati testualeRiproduzione dell'originale nellaUniversity of Illinois (Urbana-Champaign Campus). Library..Dramma ingleseSec. 17.BNCF822.3DEKKER,Thomasca. 1572-1632.131563FORD,John1586-ca. 1640.131695cbaITcbaREICAT996422850103316EBERSun's-darlng1807427UNISA01185nam 2200361 450 991015705740332120211201130042.0978-88-89972-64-920170111d2016----km y0itay50 baitaITa 001yyNatura, storia e comunità nella progettazione del paesaggioCasola di Napoli tra città campagna e città creativaEmma Buondonnoa cura di Chiara D'Alise, Marcello PelusoNapoliDoppiavoce201695 p.ill.26 cmRicerche e progetti di architettura e di urbanisticaArchitettura del paesaggio712Buondonno,Emma343787D'Alise,ChiaraPeluso,MarcelloITUNINAREICATUNIMARCBK9910157057403321C 646 CAN319/2017DARPUC 647 CAN320/2017DARPU03.1487291/2017DARSTAREA 79446/2016FARBCFARBCDARPUDARSTNatura, storia e comunità nella progettazione del paesaggio1469479UNINA04239nam 22006735 450 991079921920332120251117031344.03-319-61007-410.1007/978-3-319-61007-8(CKB)4340000000062061(MiAaPQ)EBC4930076(DE-He213)978-3-319-61007-8(MiAaPQ)EBC5577969(Au-PeEL)EBL5577969(OCoLC)1021254520(PPN)25885510X(PPN)203669320(EXLCZ)99434000000006206120170728d2017 u| 0engurcnu||||||||rdacontentrdamediardacarrierNon-convex multi-objective optimization /by Panos M. Pardalos, Antanas Žilinskas, Julius Žilinskas1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (192 pages) illustrations, tablesSpringer Optimization and Its Applications,1931-6828 ;1233-319-61005-8 Includes bibliographical references and index.1. Definitions and Examples -- 2. Scalarization -- 3. Approximation and Complexity -- 4. A Brief Review of Non-Convex Single-Objective Optimization -- 5. Multi-Objective Branch and Bound -- 6. Worst-Case Optimal Algorithms -- 7. Statistical Models Based Algorithms -- 8. Probabilistic Bounds in Multi-Objective Optimization -- 9. Visualization of a Set of Pareto Optimal Decisions -- 10. Multi-Objective Optimization Aided Visualization of Business Process Diagrams. –References -- Index.Recent results on non-convex multi-objective optimization problems and methods are presented in this book, with particular attention to expensive black-box objective functions. Multi-objective optimization methods facilitate designers, engineers, and researchers to make decisions on appropriate trade-offs between various conflicting goals. A variety of deterministic and stochastic multi-objective optimization methods are developed in this book. Beginning with basic concepts and a review of non-convex single-objective optimization problems; this book moves on to cover multi-objective branch and bound algorithms, worst-case optimal algorithms (for Lipschitz functions and bi-objective problems), statistical models based algorithms, and probabilistic branch and bound approach. Detailed descriptions of new algorithms for non-convex multi-objective optimization, their theoretical substantiation, and examples for practical applications to the cell formation problem in manufacturing engineering, the process design in chemical engineering, and business process management are included to aide researchers and graduate students in mathematics, computer science, engineering, economics, and business management. .Springer Optimization and Its Applications,1931-6828 ;123Mathematical optimizationAlgorithmsComputer science—MathematicsComputer scienceMathematicsOptimizationhttps://scigraph.springernature.com/ontologies/product-market-codes/M26008Algorithmshttps://scigraph.springernature.com/ontologies/product-market-codes/M14018Mathematical Applications in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/M13110Mathematical optimization.Algorithms.Computer science—Mathematics.Computer scienceMathematics.Optimization.Algorithms.Mathematical Applications in Computer Science.519.3Pardalos Panos Mauthttp://id.loc.gov/vocabulary/relators/aut318341Zhilinskas A.authttp://id.loc.gov/vocabulary/relators/autŽilinskas Juliusauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910799219203321Non-convex multi-objective optimization3872650UNINA