LEADER 02306nam 2200589 450 001 9910459343903321 005 20200520144314.0 010 $a1-282-91602-5 010 $a9786612916021 010 $a0-87586-752-9 035 $a(CKB)2670000000018238 035 $a(EBL)485487 035 $a(OCoLC)610027099 035 $a(SSID)ssj0000430185 035 $a(PQKBManifestationID)12142876 035 $a(PQKBTitleCode)TC0000430185 035 $a(PQKBWorkID)10453144 035 $a(PQKB)10384091 035 $a(MiAaPQ)EBC485487 035 $a(Au-PeEL)EBL485487 035 $a(CaPaEBR)ebr10864681 035 $a(CaONFJC)MIL291602 035 $a(EXLCZ)992670000000018238 100 $a20140512h20102010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aTwo thousand years of economic statistics $eworld population, GDP, and PPP /$fAlexander V. Avakov 210 1$aNew York :$cAlgora Publishing,$d2010. 210 4$dİ2010 215 $a1 online resource (402 p.) 300 $aDescription based upon print version of record. 311 $a0-87586-750-2 320 $aIncludes bibliographical references. 327 $aPreliminaries; Contents; Introduction; Chapter 1 World Population; Chapter 2 GDP at Purchasing Power Parities; Chapter 3 Gross Domestic Product; Chpater 4 Population; Chapter 5 GDP Per Capita Growth Rates; Chapter 6 GDP Growth Rates; Appendix Methodology and Definitions 330 $aWho's winning and who's losing? Going far beyond the major powers and the BRIC countries, this new economic statistical tome compares the nations of the world in six sections: 1. Population. 2. GDP Per Capita. 3. GDP. 4. Growth Rates of Population. 5. Growth Rates of GDP Per Capita. 6. Growth Rates of GDP. 606 $aEconomic history$vStatistics 606 $aEconomic indicators 608 $aElectronic books. 615 0$aEconomic history 615 0$aEconomic indicators. 676 $a339.3/1021 700 $aAvakov$b Aleksandr V$g(Aleksandr Vladimirovich),$f1954-$0919366 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910459343903321 996 $aTwo thousand years of economic statistics$92061939 997 $aUNINA LEADER 04207nam 22007935 450 001 996466364603316 005 20200704062732.0 010 $a3-540-28627-6 024 7 $a10.1007/b104017 035 $a(CKB)1000000000212644 035 $a(DE-He213)978-3-540-28627-1 035 $a(SSID)ssj0000190760 035 $a(PQKBManifestationID)11171195 035 $a(PQKBTitleCode)TC0000190760 035 $a(PQKBWorkID)10183529 035 $a(PQKB)10214266 035 $a(MiAaPQ)EBC3087622 035 $a(PPN)155206370 035 $a(EXLCZ)991000000000212644 100 $a20121227d2004 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLeast Squares Orthogonal Distance Fitting of Curves and Surfaces in Space$b[electronic resource] /$fby Sung Joon Ahn 205 $a1st ed. 2004. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2004. 215 $a1 online resource (XXII, 127 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v3151 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-23966-9 320 $aIncludes bibliographical references and index. 327 $a1. Introduction -- 2. Least-Squares Orthogonal Distance Fitting -- 3. Orthogonal Distance Fitting of Implicit Curves and Surfaces -- 4. Orthogonal Distance Fitting of Parametric Curves and Surfaces -- 5. Object Reconstruction from Unordered Point Cloud -- 6. Conclusions. 330 $aDue to the continuing progress of sensor technology, the availability of 3-D cameras is already foreseeable. These cameras are capable of generating a large set of measurement points within a very short time. There are a variety of 3-D camera applications in the fields of robotics, rapid product development and digital factories. In order to not only visualize the point cloud but also to recognize 3-D object models from the point cloud and then further process them in CAD systems, efficient and stable algorithms for 3-D information processing are required. For the automatic segmentation and recognition of such geometric primitives as plane, sphere, cylinder, cone and torus in a 3-D point cloud, efficient software has recently been developed at the Fraunhofer IPA by Sung Joon Ahn. This book describes in detail the complete set of ?best-fit? algorithms for general curves and surfaces in space which are employed in the Fraunhofer software. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v3151 606 $aComputers 606 $aMathematics 606 $aAlgebra 606 $aNumerical analysis 606 $aAlgorithms 606 $aComputer graphics 606 $aTheory of Computation$3https://scigraph.springernature.com/ontologies/product-market-codes/I16005 606 $aMathematics, general$3https://scigraph.springernature.com/ontologies/product-market-codes/M00009 606 $aAlgebra$3https://scigraph.springernature.com/ontologies/product-market-codes/M11000 606 $aNumeric Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I1701X 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013 615 0$aComputers. 615 0$aMathematics. 615 0$aAlgebra. 615 0$aNumerical analysis. 615 0$aAlgorithms. 615 0$aComputer graphics. 615 14$aTheory of Computation. 615 24$aMathematics, general. 615 24$aAlgebra. 615 24$aNumeric Computing. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aComputer Graphics. 676 $a511/.42 700 $aAhn$b Sung Joon$4aut$4http://id.loc.gov/vocabulary/relators/aut$0600503 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466364603316 996 $aLeast Squares Orthogonal Distance Fitting of Curves and Surfaces in Space$92223513 997 $aUNISA