LEADER 03796nam 22006975 450 001 996466512603316 005 20200705021801.0 010 $a3-540-85799-0 024 7 $a10.1007/978-3-540-85799-0 035 $a(CKB)1000000000546317 035 $a(SSID)ssj0000319297 035 $a(PQKBManifestationID)11232866 035 $a(PQKBTitleCode)TC0000319297 035 $a(PQKBWorkID)10338402 035 $a(PQKB)10583051 035 $a(DE-He213)978-3-540-85799-0 035 $a(MiAaPQ)EBC3063724 035 $a(PPN)131119419 035 $a(EXLCZ)991000000000546317 100 $a20110406d2009 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aOptimal Urban Networks via Mass Transportation$b[electronic resource] /$fby Giuseppe Buttazzo, Aldo Pratelli, Sergio Solimini, Eugene Stepanov 205 $a1st ed. 2009. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2009. 215 $a1 online resource (X, 150 p. 15 illus.) 225 1 $aLecture Notes in Mathematics,$x0075-8434 ;$v1961 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-85798-2 320 $aIncludes bibliographical references and index. 327 $aProblem setting -- Optimal connected networks -- Relaxed problem and existence of solutions -- Topological properties of optimal sets -- Optimal sets and geodesics in the two-dimensional case. 330 $aRecently much attention has been devoted to the optimization of transportation networks in a given geographic area. One assumes the distributions of population and of services/workplaces (i.e. the network's sources and sinks) are known, as well as the costs of movement with/without the network, and the cost of constructing/maintaining it. Both the long-term optimization and the short-term, "who goes where" optimization are considered. These models can also be adapted for the optimization of other types of networks, such as telecommunications, pipeline or drainage networks. In the monograph we study the most general problem settings, namely, when neither the shape nor even the topology of the network to be constructed is known a priori. 410 0$aLecture Notes in Mathematics,$x0075-8434 ;$v1961 606 $aCalculus of variations 606 $aOperations research 606 $aManagement science 606 $aManifolds (Mathematics) 606 $aComplex manifolds 606 $aCalculus of Variations and Optimal Control; Optimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26016 606 $aOperations Research, Management Science$3https://scigraph.springernature.com/ontologies/product-market-codes/M26024 606 $aManifolds and Cell Complexes (incl. Diff.Topology)$3https://scigraph.springernature.com/ontologies/product-market-codes/M28027 615 0$aCalculus of variations. 615 0$aOperations research. 615 0$aManagement science. 615 0$aManifolds (Mathematics). 615 0$aComplex manifolds. 615 14$aCalculus of Variations and Optimal Control; Optimization. 615 24$aOperations Research, Management Science. 615 24$aManifolds and Cell Complexes (incl. Diff.Topology). 676 $a388.4 700 $aButtazzo$b Giuseppe$4aut$4http://id.loc.gov/vocabulary/relators/aut$042785 702 $aPratelli$b Aldo$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aSolimini$b Sergio$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aStepanov$b Eugene$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a996466512603316 996 $aOptimal urban networks via mass transportation$9261782 997 $aUNISA