LEADER 01997nam 2200433 450 001 996465449003316 005 20210316213847.0 010 $a981-15-9901-7 024 7 $a10.1007/978-981-15-9901-9 035 $a(CKB)4100000011631373 035 $a(DE-He213)978-981-15-9901-9 035 $a(MiAaPQ)EBC6419853 035 $a(PPN)252513525 035 $a(EXLCZ)994100000011631373 100 $a20210316d2020 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApproximation of Euclidean metric by digital distances /$fJayanta Mukhopadhyay 205 $a1st ed. 2020. 210 1$aGateway East, Singapore :$cSpringer,$d[2020] 210 4$dİ2020 215 $a1 online resource (XX, 144 p. 31 illus., 5 illus. in color.) 311 $a981-15-9900-9 327 $aGeometry, Space and Metrics -- Digital distances: Classes and hierarchies -- Error analysis analytical approaches -- Linear combination of digital distances. 330 $aThis book discusses different types of distance functions defined in an n-D integral space for their usefulness in approximating the Euclidean metric. It discusses the properties of these distance functions and presents various kinds of error analysis in approximating Euclidean metrics. It also presents a historical perspective on efforts and motivation for approximating Euclidean metrics by digital distances from the mid-sixties of the previous century. The book also contains an in-depth presentation of recent progress, and new research problems in this area. . 606 $aDistance geometry 615 0$aDistance geometry. 676 $a514.3 700 $aMukhopadhyay$b Jayanta$c(College teacher),$0860188 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465449003316 996 $aApproximation of Euclidean metric by digital distances$91919321 997 $aUNISA